SYSTEM AND METHOD FOR DETERMINING INPUT FROM SPATIAL POSITION OF AN OBJECT
A system and method for determining an input is provided. The system includes an object position determination device and an input determination device. The object position determination device is configured to determine a first position of an object at a first time and a second position of the object at a second time. The object position determination device includes a camera configured to detect light traveling from the object to the camera. The input determination device is configured to determine an input based at least partly upon the first position and the second position. The object position determination device can include a second camera. The object can include a radio frequency emitter. The object can include an infrared emitter. The object can be an electronic device.
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This application is a continuation of U.S. patent application Ser. No. 11/225,726, entitled “A POINTING DEVICE AND CURSOR FOR USE IN INTELLIGENT COMPUTING ENVIRONMENTS” and filed on Sep. 13, 2005, which is a divisional of U.S. patent application Ser. No. 10/461,646, entitled “A POINTING DEVICE AND CURSOR FOR USE IN INTELLIGENT COMPUTING ENVIRONMENTS” and filed on Jun. 13, 2003, the entire contents of each of which are hereby incorporated by reference.
BACKGROUND1. Technical Field
The application is related to determining input, and more particularly to a system and process for determining input from the spatial position of an object.
2. Background Art
Ubiquitous (i.e., intelligent) computing promises to blur the boundaries between traditional desktop computing and the everyday physical world. A popular vision of tomorrow's computing pushes computational abilities into everyday objects, each participating in a complex and powerful integrated intelligent environment. Tomorrow's home and office environments, for example, may include a variety of small and large networked displays and smart controllable devices. For instance, the modern living room typically features a television, amplifier, DVD player, lights, computers, and so on. In the near future, these devices will become more inter-connected, more numerous and more specialized as part of an increasingly complex and powerful integrated intelligent environment.
This migration away from the desktop and “into the walls” presents several challenges for user interface design. For example, how does the user of tomorrow's intelligent environment select one of many devices? Today, this problem is most often addressed by maintaining a separate interface, such as an IR remote control, for each device.
Tomorrow's intelligent environment presents the opportunity to present a single intelligent user interface (UI) to control many such devices when they are networked. This UI device should provide the user a natural interaction with intelligent environments. For example, people have become quite accustomed to pointing at a piece of electronic equipment that they want to control, owing to the extensive use of IR remote controls. It has become almost second nature for a person in a modern environment to point at the object he or she wants to control, even when it is not necessary. Take the small radio frequency (RF) key fobs that are used to lock and unlock most automobiles in the past few years as an example. Inevitably, a driver will point the free end of the key fob toward the car while pressing the lock or unlock button. This is done even though the driver could just have well pointed the fob away from the car, or even pressed the button while still in his or her pocket, owing to the RF nature of the device. Thus, a single UI device, which is pointed at electronic components or some extension thereof (e.g., a wall switch to control lighting in a room) to control these components, would represent an example of the aforementioned natural interaction that is desirable for such a device.
There are some so-called “universal” remote controls on the market that are preprogrammed with the known control protocols of a litany of electronic components, or which are designed to learn the command protocol of an electronic component. Typically, such devices are limited to one transmission scheme, such as IR or RF, and so can control only electronic components operating on that scheme. However, it would be desirable if the electronic components themselves were passive in that they do not have to receive and process commands from the UI device directly, but would instead rely solely on control inputs from the aforementioned network. In this way, the UI device does not have to differentiate among various electronic components, say by recognizing the component in some manner and transmitting commands using some encoding scheme applicable only to that component, as is the case with existing universal remote controls.
Of course, a common control protocol could be implemented such that all the controllable electronic components within an environment use the same control protocol and transmission scheme. However, this would require all the electronic components to be customized to the protocol and transmission scheme, or to be modified to recognize the protocol and scheme. This could add considerably to the cost of a “single UI-controlled” environment. It would be much more desirable if the UI device could be used to control any networked group of new or existing electronic components regardless of remote control protocols or transmission schemes the components were intended to operate under.
It is noted that in the remainder of this specification, the description refers to various individual publications identified by a numeric designator contained within a pair of brackets. For example, such a reference may be identified by reciting, “reference [1]” or simply “[1]”. A listing of references including the publications corresponding to each designator can be found at the end of the Detailed Description section.
SUMMARYIn one embodiment, a system includes an object position determination device and an input determination device. The object position determination device is configured to determine a first position of an object at a first time and a second position of the object at a second time. The object position determination device includes a camera configured to detect light traveling from the object to the camera. The input determination device is configured to determine an input based at least partly upon the first position and the second position. In another embodiment, the object position determination device includes a second camera.
In still another embodiment, the object includes a radio frequency emitter. In yet another embodiment, the object includes an infrared emitter. In one embodiment, the object is an electronic device.
In one embodiment, a method includes detecting, by a camera, first light traveling from an object to the camera at a first time and determining a first position of the object at the first time based at least partly on the first light. The method also includes detecting, by the camera, second light traveling from the object to the camera at a second time and determining a second position of the object at the second time based at least partly on the second light. Further, the method includes determining an input based at least partly upon the first position and the second position. In another embodiment, the method includes detecting, by a second camera, third light traveling from the object to the second camera at the first time, determining the first position of the object at the first time based at least partly on the third light, detecting, by the second camera, fourth light traveling from the object to the second camera at the second time, and determining the second position of the object at the second time based at least partly on the fourth light. In yet another embodiment, the object includes a radio frequency emitter. In still another embodiment, the object includes an infrared emitter. In one embodiment, the object is an electronic device.
In one embodiment, a computer storage medium stores computer-executable instructions that when executed by a processor cause a computer to execute steps. The steps include detecting first light traveling from an object to a camera at a first time and determining a first position of the object at the first time based at least partly on the first light. The steps also include detecting second light traveling from the object to the camera at a second time and determining a second position of the object at the second time based at least partly on the second light. Further, the steps include determining an input based at least partly upon the first position and the second position. In another embodiment, the steps include detecting third light traveling from the object to a second camera at the first time, determining the first position of the object at the first time based at least partly on the third light, detecting fourth light traveling from the object to the second camera at the second time, and determining the second position of the object at the second time based at least partly on the fourth light. In yet another embodiment, the object includes a radio frequency emitter. In still another embodiment, the object includes an infrared emitter. In one embodiment, the object is an electronic device.
The specific features, aspects, and advantages of various embodiments will become better understood with regard to the following description, appended claims, and accompanying drawings where:
In the following description of the preferred embodiments, reference is made to the accompanying drawings which form a part hereof, and in which is shown by way of illustration specific embodiments. It is understood that other embodiments may be utilized and structural changes may be made.
1.0 The Computing EnvironmentBefore providing a description of the preferred embodiments, a brief, general description of a suitable computing environment in which various embodiments may be implemented will be described.
Various embodiments are operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well known computing systems, environments, and/or configurations that may be suitable for use with various embodiments include, but are not limited to, personal computers, server computers, hand-held or laptop devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
Various embodiments may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. Various embodiments may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
With reference to
Computer 110 typically includes a variety of computer readable media. Computer readable media can be any available media that can be accessed by computer 110 and includes both volatile and nonvolatile media, removable and non-removable media. By way of example, and not limitation, computer readable media may comprise computer storage media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by computer 110. Communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media. The term “modulated data signal” means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. By way of example, and not limitation, communication media includes wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media.
The system memory 130 includes computer storage media in the form of volatile and/or nonvolatile memory such as read only memory (ROM) 131 and random access memory (RAM) 132. A basic input/output system 133 (BIOS), containing the basic routines that help to transfer information between elements within computer 110, such as during start-up, is typically stored in ROM 131. RAM 132 typically contains data and/or program modules that are immediately accessible to and/or presently being operated on by processing unit 120. By way of example, and not limitation,
The computer 110 may also include other removable/non-removable, volatile/nonvolatile computer storage media. By way of example only,
The drives and their associated computer storage media discussed above and illustrated in
The computer 110 may operate in a networked environment using logical connections to one or more remote computers, such as a remote computer 180. The remote computer 180 may be a personal computer, a server, a router, a network PC, a peer device or other common network node, and typically includes many or all of the elements described above relative to the computer 110, although only a memory storage device 181 has been illustrated in
When used in a LAN networking environment, the computer 110 is connected to the LAN 171 through a network interface or adapter 170. When used in a WAN networking environment, the computer 110 typically includes a modem 172 or other means for establishing communications over the WAN 173, such as the Internet. The modem 172, which may be internal or external, may be connected to the system bus 121 via the user input interface 160, or other appropriate mechanism. In a networked environment, program modules depicted relative to the computer 110, or portions thereof, may be stored in the remote memory storage device. By way of example, and not limitation,
The exemplary operating environment having now been discussed, the remaining part of this description section will be devoted to a description of the program modules embodying various embodiments.
2.0 The XWand SystemIn a co-pending U.S. patent application entitled “A SYSTEM AND PROCESS FOR SELECTING OBJECTS IN A UBIQUITOUS COMPUTING ENVIRONMENT” which was filed on May 31, 2002 and issued Ser. No. 10/160,692, a system and process was introduced that provides a remote control UI device that is capable of controlling a group of networked electronic components. More particularly, the UI device, which will herein be referred to as the XWand, is able to control the electronic components without having to directly differentiate among the components or employ a myriad of different control protocols and transmission schemes. And in order to provide a natural interaction experience, the present system is operated by having the user point at the electronic component (or an extension thereof) that he or she wishes to control. In particular, the XWand provides a remote control UI device that can be simply pointed at objects in an ubiquitous computing environment that are associated in some way with controllable, networked electronic components, so as to select that object for controlling via the network. This can for example involve pointing the UI device at a wall switch and pressing a button on the device to turn a light operated by the switch on or off. The idea is to have a UI device so simple that it requires no particular instruction or special knowledge on the part of the user.
The XWand system includes the aforementioned remote control UI device in the form of a wireless RF pointer, which includes a radio frequency (RF) transceiver and various orientation sensors. The outputs of the sensors are periodically packaged as orientation messages and transmitted using the RF transceiver to a base station, which also has a RF transceiver to receive the orientation messages transmitted by the pointer. There is also a pair of digital video cameras each of which is located so as to capture images of the environment in which the pointer is operating from different viewpoints. A computer, such as a PC, is connected to the base station and the video cameras. Orientation messages received by the base station from the pointer are forwarded to the computer, as are images captured by the video cameras. The computer is employed to compute the orientation and location of the pointer using the orientation messages and captured images. The orientation and location of the pointer is in turn used to determine if the pointer is being pointed at an object in the environment that is controllable by the computer via a network connection. If it is, the object is selected.
The pointer specifically includes a case having a shape with a defined pointing end, a microcontroller, the aforementioned RF transceiver and orientation sensors which are connected to the microcontroller, and a power supply (e.g., batteries) for powering these electronic components. In the tested versions of the pointer, the orientation sensors included at least, an accelerometer that provides separate x-axis and y-axis orientation signals, and a magnetometer that provides separate x-axis, y-axis and z-axis orientation signals. These electronics were housed in a case that resembled a wand-hence the XWand name.
The pointer's microcontroller packages and transmits orientation messages at a prescribed rate. While the microcontroller could be programmed to accomplish this task by itself, a command-response protocol was employed in tested versions of the system. This entailed the computer periodically instructing the pointer's microcontroller to package and transmit an orientation message by causing the base station to transmit a request for the message to the pointer at the prescribed rate. This prescribed rate could for example be approximately 50 times per second as it was in tested versions of the system.
As indicated previously, the orientation messages generated by the pointer include the outputs of the sensors. To this end, the pointer's microcontroller periodically reads and stores the outputs of the orientation sensors. Whenever a request for an orientation message is received (or it is time to generate such a message if the pointer is programmed to do so without a request), the microcontroller includes the last-read outputs from the accelerometer and magnetometer in the orientation message.
The pointer also includes other electronic components such as a user activated switch or button, and a series of light emitting diodes (LEDs). The user-activated switch, which is also connected to the microcontroller, is employed for the purpose of instructing the computer to implement a particular function. To this end, the state of the switch in regard to whether it is activated or deactivated at the time an orientation message is packaged is included in that message for transmission to the computer. The series of LEDs includes a pair of differently-colored, visible spectrum LEDs, which are connected to the microcontroller, and which are visible from the outside of the pointer's case when lit. These LEDs are used to provide status or feedback information to the user, and are controlled via instructions transmitted to the pointer by the computer.
The foregoing system is used to select an object by having the user simply point to the object with the pointer. This entails the computer first inputting the orientation messages transmitted by the pointer. For each message received, the computer derives the orientation of the pointer in relation to a predefined coordinate system of the environment in which the pointer is operating using the orientation sensor readings contained in the message. In addition, the video output from the video cameras is used to ascertain the location of the pointer at a time substantially contemporaneous with the generation of the orientation message and in terms of the predefined coordinate system. Once the orientation and location of the pointer are computed, they are used to determine whether the pointer is being pointed at an object in the environment that is controllable by the computer. If so, then that object is selected for future control actions.
The computer derives the orientation of the pointer from the orientation sensor readings contained in the orientation message as follows. First, the accelerometer and magnetometer output values contained in the orientation message are normalized. Angles defining the pitch of the pointer about the x-axis and the roll of the device about the y-axis are computed from the normalized outputs of the accelerometer. The normalized magnetometer output values are then refined using these pitch and roll angles. Next, previously established correction factors for each axis of the magnetometer, which relate the magnetometer outputs to the predefined coordinate system of the environment, are applied to the associated refined and normalized outputs of the magnetometer. The yaw angle of the pointer about the z axis is computed using the refined magnetometer output values. The computed pitch, roll and yaw angles are then tentatively designated as defining the orientation of the pointer at the time the orientation message was generated. It is next determined whether the pointer was in a right-side up or up-side down position at the time the orientation message was generated. If the pointer was in the right-side up position, the previously computed pitch, roll and yaw angles are designated as the defining the finalized orientation of the pointer. However, if it is determined that the pointer was in the up-side down position at the time the orientation message was generated, the tentatively designated roll angle is corrected accordingly, and then the pitch, yaw and modified roll angle are designated as defining the finalized orientation of the pointer. In the foregoing description, it is assumed that the accelerometer and magnetometer of the pointer are oriented such that their respective first axis corresponds to the x-axis which is directed laterally to a pointing axis of the pointer and their respective second axis corresponds to the y-axis which is directed along the pointing axis of the pointer, and the third axis of the magnetometer correspond to the z-axis which is directed vertically upward when the pointer is positioned right-side up with the x and y axes lying in a horizontal plane.
The computer derives the location of the pointer from the video output of the video cameras as follows. There is an infrared (IR) LED connected to the microcontroller that is able to emit IR light outside the pointer's case when lit. The microcontroller causes the IR LEDs to flash. In addition, the aforementioned pair of digital video cameras each have an IR pass filter that results in the video image frames capturing only IR light emitted or reflected in the environment toward the camera, including the flashing from the pointer's IR LED which appears as a bright spot in the video image frames. The microcontroller causes the IR LED to flash at a prescribed rate that is approximately one-half the frame rate of the video cameras. This results in only one of each pair of image frames produced by a camera having the IR LED flashes depicted in it. This allows each pair of frames produced by a camera to be subtracted to produce a difference image, which depicts for the most part only the IR emissions and reflections directed toward the camera which appear in one or the other of the pair of frames but not both (such as the flash from the IR LED of the pointing device). In this way, the background IR in the environment is attenuated and the IR flash becomes the predominant feature in the difference image. The image coordinates of the pixel in the difference image that exhibits the highest intensity is then identified using a standard peak detection procedure. A conventional stereo image technique is then employed to compute the 3D coordinates of the flash for each set of approximately contemporaneous pairs of image frames generated by the pair of cameras using the image coordinates of the flash from the associated difference images and predetermined intrinsic and extrinsic camera parameters. These coordinates represent the location of the pointer (as represented by the location of the IR LED) at the time the video image frames used to compute them were generated by the cameras.
The orientation and location of the pointing device at any given time is used to determine whether the pointing device is being pointed at an object in the environment that is controllable by the computer. In order to do so the computer must know what objects are controllable and where they exist in the environment. This requires a model of the environment. In the XWand system, the location and extent of objects within the environment that are controllable by the computer are modeled using 3D Gaussian blobs defined by a location of the mean of the blob in terms of its environmental coordinates and a covariance. Two different methods have been developed to model objects in the environment.
The first involves the user inputting information identifying the object that is to be modeled. The user then activates the switch on the pointing device and traces the outline of the object. Meanwhile, the computer is running a target training procedure that causes requests for orientation messages to be sent to the pointing device a prescribed request rate. The orientation messages are input as they are received, and for each orientation message, it is determined whether the switch state indicator included in the orientation message indicates that the switch is activated. Whenever it is initially determined that the switch is not activated, the switch state determination action is repeated for each subsequent orientation message received until an orientation message is received which indicates that the switch is activated. At that point, each time it is determined that the switch is activated, the location of the pointing device is ascertained as described previously using the digital video input from the pair of video cameras. When the user is done tracing the outline of the object being modeled, he or she deactivates the switch. The target training process sees this as the switch has been deactivated after having been activated in the immediately preceding orientation message. Whenever such a condition occurs, the tracing procedure is deemed to be complete and a 3D Gaussian blob representing the object is established using the previously ascertained pointing device locations stored during the tracing procedure.
The second method of modeling objects once again begins by the user inputting information identifying the object that is to be modeled. However, in this case the user repeatedly points the pointer at the object and momentarily activates the switch on the device, each time pointing the device from a different location within the environment. Meanwhile, the computer is running a target training procedure that causes requests for orientation messages to be sent to the pointing device at a prescribed request rate. Each orientation message received from the pointing device is input until the user indicates the target training inputs are complete. For each orientation message input, it is determined whether the switch state indicator contained therein indicates that the switch is activated. Whenever it is determined that the switch is activated, the orientation of the pointing device is computed as described previously using orientation sensor readings also included in the orientation message. In addition, the location of the pointing device is ascertained using the inputted digital video from the pair of video cameras. The computed orientation and location values are stored. Once the user indicates the target training inputs are complete, the location of the mean of a 3D Gaussian blob that will be used to represent the object being modeled is computed from the pointing device's stored orientation and location values. The covariance of the Gaussian blob is then obtained in one of various ways. For example, it can be a prescribed covariance, a user input covariance, or the covariance can be computed by adding a minimum covariance to the spread of the intersection points of rays defined by the pointing device's stored orientation and location values.
With a Gaussian blob model of the environment in place, the orientation and location of the pointing device can be is used to determine whether the pointing device is being pointed at an object in the environment that is controllable by the computer. In one version of this procedure, for each Gaussian blob in the model, the blob is projected onto a plane which is normal to either a line extending from the location of the pointing device to the mean of the blob or a ray originating at the location of the pointing device and extending in a direction defined by the orientation of the device. The value of the resulting projected Gaussian blob at a point where the ray intersects the plane is computed. This value represents the probability that the pointing device is pointing at the object associated with the blob under consideration. Next, the probability representing the largest value computed for the Gaussian blobs, if any, is identified. At this point, the object associated with the Gaussian blob from which the largest probability value was derived could be designated as being the object that the pointing device is pointing at. However, an alternate thresholding procedure could be employed instead. In this alternate version, it is first determined whether the probability value identified as the largest exceeds a prescribed minimum probability threshold. Only if the threshold is exceeded is the object associated with the projected Gaussian blob from which the largest probability value was derived designated as being the object that the pointer is pointing at. The minimum probability threshold is chosen to ensure the user is actually pointing at the object and not just near the object without an intent to select it.
In an alternate procedure for determining whether the pointing device is being pointed at an object in the environment that is controllable by the computer, for each Gaussian blob, it is determined whether a ray originating at the location of the pointing device and extending in a direction defined by the orientation of the device intersects the blob. Next, for each Gaussian blob intersected by the ray, it is determined what the value of the Gaussian blob is at a point along the ray nearest the location of the mean of the blob. This value represents the probability that the pointing device is pointing at the object associated with the Gaussian blob. The rest of the procedure is similar to the first method in that the object associated with the Gaussian blob from which the largest probability value was derived could be designated as being the object that the pointing device is pointing at. Or alternately, it is first determined whether the probability value identified as the largest exceeds the prescribed minimum probability threshold. If the threshold is exceeded, only then is the object associated with the projected Gaussian blob from which the largest probability value was derived designated as being the object that the pointing device is pointing at.
Users of the XWand are often impressed with the immediate and natural feel of absolute pointing. However, the pure geometry-based approach which enables absolute pointing also has a number of important drawbacks. First, two or more cameras must be permanently mounted in the room. Besides the difficulty of installation, such cameras inevitably draw objections related to privacy. In addition, the cameras must be carefully calibrated to the room geometry upon installation, and recalibrated if they are moved. Further, at least two cameras must have clear sight-lines to the wand at all times. Finally, the three dimensional position of each active device in the room must be known, and small errors in the orientation and position information translate to inaccuracy in pointing, possibly disrupting the interaction.
Given these objections, alternatives to absolute pointing would be advantageous with the goal of eliminating the three dimensional positioning system. One general approach is to place tags in the environment, but they have drawbacks as well. By design tags require installation on every active device. Active tags such as IR beacons, for example, require their own power, while passive tags such as RF ID tags tend to have limited range, and tags based on visual features rely on rather sophisticated onboard processing.
3.0 WorldCursor SystemThe foregoing XWand system issues are resolved by the present system, which will be referred to herein as the WorldCursor system. The WorldCursor system uses the XWand device (or similar pointing device) but does not rely on a geometric model of pointing that requires the three dimensional position of the XWand, nor on tags placed in the environment, nor on any external sensing in general. Instead, a laser beam projected in the space gives the user feedback as to where the system believes the user is pointing, much in the same way that the cursor icon in “windows, icons, menus and pointing” (WIMP) interfaces provides feedback to indicate where the user is pointing with the mouse. In fact, the WorldCursor is analogous to the mouse and cursor used in traditional GUIs in that the user may select and interact with a physical device by positioning the cursor on the device and clicking.
In the foregoing context, the XWand is employed as a physical pointing mechanism, and it is coupled with the WorldCursor which projects a cursor on the physical environment. The WorldCursor improves upon the XWand by removing the need for external positioning technology such as video cameras or any other external position sensing technology, and by enabling the user to point with a high degree of precision.
Referring to
Interacting with active devices in the intelligent environment proceeds much as in the original XWand system. For example, to turn a household lamp on or off, instead of pointing directly at the lamp, the user moves the laser spot onto the lamp and clicks the XWand button. The system determines that the cursor is on the lamp by comparing the current cursor position with the recorded cursor position associated with the lamp, collected beforehand.
3.1 The WorldCursor DeviceIn general, the WorldCursor device simply needs to take yaw and pitch commands in some form and in response move the laser spot to any desired place (within line of sight of the laser) in the space in which it is operating. Any device having this capability will suffice for use in the overall WorldCursor system. In tested embodiments of the WorldCursor system the aforementioned device took the form of a motion platform that is mounted on the ceiling, typically near the center of the room. A prototype of this device is shown in
Mounted on the servo assembly is a red laser similar to those used in conventional laser pointers. By controlling the servos, the platform is able to steer the laser spot to most points in the room below the ceiling, provided there exists a sight line to that point. In tested versions of the present system and process, effective resolution in steering the laser using the aforementioned servos is about 0.25 degrees or about one half inch at a distance of 9 feet. The servos were each capable of moving over nearly a 170 degree range at a speed of 333 degrees per second. Generally, this configuration resulted in the motion of the laser being smooth and responsive. However, in the case when the laser must move from pointing to a location in front of the platform to a location behind the platform, the pitch motor must move to the back and the yaw motor must reflect about the vertical plane separating the front and rear hemispheres. Because the servos employed in the tested embodiments had a 170 degree range limitation, there was a discontinuity in this movement of the laser spot from front to back (i.e., a 20 degree gap at the sides). While the aforementioned pointing inaccuracy and discontinuity were not found to be a problem in the tested embodiments, ideally, servos with a full 180 degree range and higher accuracy could be employed to resolve these minor deficiencies.
It is noted that the connection between the WorldCursor base unit and the host computer could also be of a wireless type. However, if this is the case care must be taken to ensure there is no interference with the XWand system.
3.2 World Model for the WorldCursor SystemThe WorldCursor points at a given object in the room by changing the pitch and yaw of the laser with its motors. It is therefore possible to uniquely associate a given object in the room with the yaw and pitch value used to point the WorldCursor at the object. The yaw and pitch values of each object of interest in the space are the basis for a convenient world model for the WorldCursor system based on spherical coordinates.
The spherical coordinate world model is easier to construct than the full three dimensional model of the original XWand system as described previously. For example, whereas in the three dimensional model the user had to either hold the XWand over the object, or provide several pointing examples used to triangulate the position of the object, the WorldCursor system need only record the current yaw and pitch values of the device once the user has put the cursor on the object. One limitation of this approach is that the spherical coordinate world model must be re-learned if the WorldCursor device is moved to a new location.
Given this, a model of the space that the WorldCursor system is to operate in can be established as follows. Referring to
Once the objects in the space have been modeled as described above, user can direct the laser of the WorldCursor to the modeled objects and act upon them as was done in the XWand system. More particularly, the user shines the WorldCursor's laser beam on the object he or she wants to select. It is then determined whether the laser beam is on an object in the space that is known. Whenever the laser beam is on a known object, that object is selected for future control actions.
To determine if the laser beam is on an object, the user is required to activate the XWand switch when the laser beam is shining on the object he or she wants to select. The distance is computed in spherical coordinates between the current WorldCursor position and a position stored for each of the modeled objects. For coordinates (θc,φc) of the WorldCursor and coordinates (θi,φi) of the center of a given object, the user is deemed to be pointing at a modeled object if:
√{square root over ((θi−θc)2+(φi−φc)2)}{square root over ((θi−θc)2+(φi−φc)2)}<ri (1)
where radius ri indicates the size of the object modeled as a circle in spherical coordinates. It is noted that this method of determining if the user is pointing at a modeled object in the environment is clearly much easier than the previously-described Gaussian blob technique used in connection with the standalone XWand system.
In some cases the object being modeled in the environment will be better represented as a polygon rather than a circle. In addition, in some cases the WorldCursor may be needed to indicate one or more points on an object with a high degree of precision. Both of these issues are resolved by modeling the object in question as a polygon. This is accomplished by inputting a set of vertices that form a polygonal model of an object. To input the vertices, the user places the laser spot of the WorldCursor on each vertex of the polygon representing the object, in turn, while the WorldCursor system is in a training mode. Once the object is “trained”, the system can then determine if the cursor is on the polygon by using standard point-in-polygon algorithms used in two dimensional graphics [1].
More particularly, a model of a polygonal object in the space that the WorldCursor system is operating in can be established as follows. Referring to
Once an object has been modeled as a polygon, it might also be desirable to know precisely where the cursor (i.e., laser spot) is on the object's surface in a local coordinate system, as mentioned above. For example, this polygon technique can be used to determine if the WorldCursor spot is on the active surface of a computer display, and if so where on that surface. In this way the WorldCursor can act as a display cursor as well.
For a four vertex polygonal surface such as a computer display, the desired location would be the cursor's screen coordinates. A transform from WorldCursor to screen coordinates allows the display to be seamlessly incorporated into the rest of the world model, as described later. In this case, a projective transform [3] can be used to transform WorldCursor coordinates to screen coordinates (x, y) as follows:
The parameters pij are determined by solving a linear system of equations given the four corners of the display in both WorldCursor and screen coordinates. Here the assumption is made that the WorldCursor coordinate system is linear in the region of the display, even though modeled in spherical coordinates—a valid assumption for typical sized displays.
More particularly, the projective transform of Eq. (2) takes coordinates (x,y) into coordinates (x′,y′) by way of a 3×3 matrix with 8 free parameters. Points (xi,yi) are the coordinates of the 4 corners of the polygon in WorldCursor device coordinates, and the points (x′i,y′i) are the coordinates of the same 4 corners in local coordinates (e.g., screen coordinates of a computer display). These values are collected in an offline training procedure in which the cursor is placed on each of the 4 corners of the polygon in turn, as described previously.
The matrix may be expressed as
Rearranging terms gives:
x′=p11x+p12y+p13−p31xx′−p32yx′
y′=p21x+p22y+p23−p31xy′−p32yy′ (4)
From this linear system it is possible to solve for parameters pij given 4 points (xi,yi) which map to corresponding points (x′i,y′i):
During runtime, screen coordinates are computed from WorldCursor device coordinates using equation (2) above. Note that this computation is only performed after it is determined that the cursor is contained within the polygon described by the points (xi,yi). Alternatively, one may always perform this mapping, and then check if the resulting screen coordinate values are contained within the polygon described by the points (x′i,y′i) (a trivial calculation).
3.3 Controlling the WorldCursor SystemIn this section, various techniques for controlling the WorldCursor with the XWand are presented. The general scheme of the control mapping is that the WorldCursor should mimic the exact motion of the XWand, much in the same way that the cursor on a WIMP interface mimics the motion of the mouse. If (θc,φc) is the yaw and pitch of the WorldCursor and (θw,φw) is the yaw and pitch of the XWand, then (θc,φc)≈(θw,φw), at least for an absolute pointing mode as will be described shortly.
3.3.1 FilteringBefore passing on the output of the XWand to the WorldCursor controller, the yaw and pitch values from the XWand are first filtered to reduce the effects of noise in the sensors and to ease placing the cursor precisely on a small target.
Two filters are used which average the last n samples (i.e., a box filter). The first is a very slow filter. For example, in tested versions of the WorldCursor, this slow filter averaged approximately the last 2.5 seconds worth of sensor data. This filter tends to dampen most XWand motion and allows the user to move the cursor relatively slowly for precise positioning. The second filter is much faster. For example, in tested versions of the WorldCursor, this fast filter averaged approximately the last 0.3 seconds worth of sensor data. This fast filter is appropriate for fast XWand movement, when the sensor noise is not as apparent, and responsiveness is desired.
While the user could switch between the filter modes manually via input to the host computer, the WorldCursor control process running on that computer preferably switches between the slow and fast filters automatically. This is accomplished as follows. Referring to
3.3.2 Absolute vs. Relative Pointing
In the absolute pointing mode, the WorldCursor's laser ideally points at the same place as the XWand. The most basic control mapping to compute WorldCursor yaw and pitch (θc,φc) from the XWand yaw and pitch (θw,φw) to produce this absolute pointing is,
θc=θc0+θw−θw0 (6)
φc=φc0+φw−φw0 (7)
where (θc0,φc0) and (θw0,φw0) are offset angles for the WorldCursor and XWand, respectively. These offsets are set to align the origins of the XWand and WorldCursor in a one time calibration procedure.
However, unless the WorldCursor platform and the XWand are very close to one another, it will be impossible to choose offsets (θc0,φc0) and (θw0,φw0) such that the XWand points directly at the WorldCursor laser spot throughout the range of pointing in the room. It will be possible to achieve approximate correspondence for a limited range of angles such as one wall of a room, but as soon as the WorldCursor is brought onto the opposite facing wall, for example, the correspondence will be far off.
It is not clear if users require even approximate correspondence for successful use of the device. Users' experience with mice suggests that absolute correspondence is not necessary. Much in the same way that users easily adapt to the relative movement of mouse and cursor, users of the WorldCursor may be able to adapt to the lack of absolute pointing, subject to the limitation that the laser spot is in their field of view. Thus, a relative pointing mode where the WorldCursor's laser spot moves with the movement of the XWand, but does not point at the same place in the environment, may be an acceptable operating condition. However, a number of procedures can be employed by which the WorldCursor and XWand can be brought into alignment to at least partially restore absolute pointing, and obtain other useful information about the environment as well. These alignment procedures will now be described in the section below.
3.3.2.1 ClutchingOne procedure that the user can employ to re-establish the XWand-WorldCursor correspondence involves a “clutching” technique. This is an operation analogous to picking up a computer mouse, moving it in air, and putting the mouse down on the desk again, without the cursor moving. To clutch, the user clicks the XWand button while the WorldCursor control process is in operational mode (as opposed to training mode). At that point the laser dot stops moving with the XWand. The user may then reorient the XWand, lining it up so that it points directly at the laser spot. When ready to resume WorldCursor operation, the user clicks the button again and the laser spot resumes moving. At this moment new offset values (θc0,φc0) and (θw0,φw0) are also collected.
More particularly, referring to
Note that the user may use the foregoing clutching technique not to align the XWand with the WorldCursor, but to establish a particular desired range of operation for the XWand. For example, by clutching the user may set offsets so that the XWand may be held comfortably at the side of the body while the WorldCursor appears on a surface in front of the user. The procedure is the same except that the user does not point the XWand at the laser spot, but instead orients it as desired. This option put the WorldCursor system into a relative pointing mode as explained above.
3.3.2.2 Exploiting Room Geometry To Automatically Re-establish CorrespondenceAnother procedure that the user can employ to establish and maintain a reasonable correspondence between the XWand and WorldCursor without clutching involves exploiting the geometry of a room in which the WorldCursor system is operating. If the geometry of the room is known in terms of a 3D coordinate system, including the position of each wall, the WorldCursor device, and the XWand itself, then the WorldCursor may be controlled such that the XWand always points directly at the laser spot.
More particularly, if the 3D coordinates of the vertices of the walls in the room are known, and the 3D position and orientation of the XWand are also known, it is possible to compute the precise point on the wall that the XWand is pointing toward using standard polygonal analysis techniques. Then, using simple trigonometry (i.e., right triangle analysis in both the yaw and pitch planes), this 3-D ‘wall point’ can then be related back to the known 3D position of the WorldCursor device to compute an updated value of the yaw and pitch (θc,φc) that is used to point the laser at the aforementioned point on the wall.
By relying on the three dimensional position of the XWand, it may seem like the very same problem that it is desired to remove in developing the WorldCursor is being re-introduced—namely the XWand's reliance on external 3-D positioning technology. In practice, however, it is sufficient to know the room geometry only approximately and still achieve a useable alignment that requires no clutching. For example, it will typically suffice to fix the assumed XWand position in the middle of a typical office space, even though this may not coincide with its actual position. Of course, such an assumption may not provide an accurate alignment of the XWand and WorldCursor. However, in situations where relative pointing is acceptable this assumption can be made. Further other assumed XWand locations could be used instead to make the alignment more accurate. This is particularly useful when it is believed that the XWand will be at or near a particular position most of the time (e.g., the room occupant's desk). Again, this relies on the fact that users tend to be tolerant to constant offsets in alignment similar to that found in using relative pointing mechanisms such as computer mice.
3.3.2.3 Inferring 3D XWand Position To Re-establish CorrespondenceA more accurate variation of the foregoing room geometry exploitation technique that can produce near absolute pointing results involves combining the geometry exploitation technique with the clutching procedure to determine the 3D location of the XWand in the room. If the user is clutching as described previously so that the XWand points at the laser spot, each clutching operation provides information that can be related mathematically to the 3D position of the XWand. After as few as two clutching operations, it is possible to compute the 3D position of the XWand.
More particularly, for each clutching operation performed with the WorldCursor laser spot shining on one of the walls whose vertices coordinates are known, there is an associated wall point pi, as well as a vector wi that defines a ray pointing from the XWand to the wall point. These values are collected at the end of the clutching operation, after the user has realigned the XWand with the laser spot of the WorldCursor and pressed the XWand button to resume WorldCursor control. Essentially, the wall point pi can be computed via standard polygonal analysis techniques since the 3D coordinates of the vertices of the walls in the room are known, as are the 3D position of the WorldCursor base and orientation of its laser (i.e., the direction the laser is pointing from the base). The vector wi is defined by the orientation of the XWand that is determined as described previously. Assuming the XWand position x is held constant over a number of successive clutching operations, then
x+siwi=pi (8)
where si is a scalar. It is noted that the “wall points” can actually be any point on any surface in the space that is modeled as a polygon via the procedure described previously.
XWand position x can be found by solving the linear system of equations generated via successive clutching operations using a standard least squares approach. A minimum of two clutching operations are required, but for robustness it is be desirable to collect several, particularly if some of the rays wi are similar, in which case the solution will be sensitive to small errors in wi.
Once the estimate of the XWand position has been updated, the control procedure described in Section 3.3.2.2 is used to maintain XWand-WorldCursor correspondence. So long as the actual position of the XWand does not change dramatically, no more clutching operations will be necessary to maintain the correspondence. It is noted that this online calibration requires no more clutching operations than the system which does not exploit the approximate room geometry, and in the long run requires fewer clutching operations if the user does not move about the room often. The user would only be aware of the procedure in that after a while no more clutching operations would be required to keep the cursor and the wand in alignment.
Accordingly, referring to
It is noted that the number of clutching operations that must be performed before the XWand-WorldCursor correspondence is updated can alternately be determined based on how different each of the aforementioned rays wi are to each other, rather than using an absolute number. For example, in one method, if the latest ray to be computed does not differ from the previous rays computed since the last correspondence update by a prescribed threshold difference, then it is not counted in terms of how many clutching operations are required. In this way, any errors in the computation of the rays will not have a significant impact on the overall correspondence computations.
It should be noted that some assumptions are made in regard to the foregoing procedures for establishing and maintaining the XWand-WorldCursor correspondence. For example, it is assumed that the user is clutching to re-establish XWand and WorldCursor correspondence, and not to create a relative pointing relationship between them. In addition, it is assumed that the user in not moving about the room, but instead remains in the same location. It is noted, however, that most users are likely to use the XWand from one a small set of static locations, much as the TV remote control is likely to be used from either the couch or the easy chair. Accordingly, this assumption is quite valid.
3.4 Establishing A 3D Model Of The Space Using The WorldCursorIn the foregoing procedures, it was assumed a polygonal model of the space was available. However, if this is not the case, it is possible to construct one given that the positions of the XWand and WorldCursor devices are known. More particularly, given the 3D location of XWand and its orientation (i.e., the direction it is pointing) in combination with the 3D location of the WorldCursor (which in this coordinate system could be designated as the origin if desired) and its orientation (which is assumed to be directed at the same point as the XWand via the aforementioned clutching operation), then, it is possible to solve for unknown wall points pi using simple trigonometry. Specifically, a triangle is formed by the 3D position of the XWand, the 3D position of the Worldcursor device, and the unknown wall point pi. Since the 3D position of the XWand and the 3D position of the Worldcursor device are known, the distance between them can be computed. In addition, since the orientation of the XWand and the laser beam are known, it follows that two of the angles of the aforementioned triangle are also known. Thus, the wall point pi can be uniquely determined using standard trigonometric methods. In this way the 3D position of objects and devices in the room may be learned, much as in the original XWand system. For example, the user while holding the XWand in substantially the same location within the space would point it at an object (e.g., at its center) or to the vertices of a polygon representing an object of interest in the space (including the walls) to establish their 3D location and then enter information about the object, similar to the previously described procedure for establishing a model of the space in terms of spherical coordinates.
Thus, with a sufficient number of clutching operations to maintain the XWand-WorldCursor correspondence intact, it would be possible to learn the entire room geometry, including a polygonal model of the walls (which could then be used to thereafter run the foregoing procedures for maintaining the XWand-WorldCursor correspondence more automatically). However, it should be noted that even in this scenario, no more clutching operations would be necessary than in the case of not using a geometric model.
The foregoing procedure for learning geometry from clutching operations raises some interesting possibilities for inferring geometry over the normal use of the device, without relying on a special training mode or a lengthy upfront training session. This has interesting implications for ubiquitous computing applications, many of which rely on geometric models to develop location based services, and to reason about user co-presence and proximity to devices. One significant barrier to deploying such systems will be the construction of the necessary geometric models, especially in the home. The foregoing feature of the WorldCursor system can provide a solution for this problem.
4.0 Applications 4.1 Home AutomationThe WorldCursor system is capable of performing all the home automation-related tasks of the original XWand system, including turning on and off lights via X10 (i.e., a powerline-based home automation system), selecting and manipulating the media player with gestures to control track and volume, and finally selecting and controlling a cursor on a display.
The WorldCursor improves on the XWand system by giving the user much more precision in selecting devices. In the original XWand system, for example, it would be difficult without audio feedback to select one of two devices that are located 18 inches apart from 12 feet away. This is due not only to the limited precision of the XWand system, but also in users' limited precision in pointing. This uncertainty can be addressed by placing a laser pointer (always on) on the XWand itself, but only up to the precision of the XWand signal processing algorithms.
The WorldCursor precision can be exploited in one application where to control the media player, the user puts the WorldCursor on one of several paper icons (play, pause, next track, previous track) hung on the wall. The user “presses” the media player button by pushing the XWand button. Menus and other traditional GUI metaphors may also be used.
4.2 Display SurfacesIn the original XWand system, the user may control a cursor on a console by first pointing the XWand at the console, and entering a cursor control mode by clicking the XWand button. Exiting the cursor control mode is accomplished by clicking on a special button presented in the interface during cursor control mode.
With the precision afforded by the WorldCursor, it is possible to improve upon this interaction by seamlessly integrating the display surface in the world model, without needing to enter a special cursor control mode. For example, once the four corners of the display are specified with the WorldCursor, the calculations described in Section 3.2 may be used to determine if the cursor is on the display. If the cursor is on the display, the laser is turned off, and the prospective projection equations are used to move the cursor to the exact spot on the display where the laser would be if it had not been turned off. Once the user moves the cursor off the display, the cursor is hidden and the laser is turned back on. Because of the nature of the WorldCursor geometric model, the registration between the two coordinate systems can be quite precise.
Further, with networked WorldCursor client processes it will be possible to extend this functionality across multiple displays simultaneously, moving from display to display seamlessly.
The drawback of the WorldCursor display integration is that the control of a small display from across the room can be quite difficult, since the size of the ‘mousing surface’ is related to the angle subtended by the display. In the XWand system, this problem is avoided in the special cursor control mode by using a constant scaled range of angles for control that is independent of where the user is located in the room. One approach to address this limitation is to nonlinearly warp the coordinate system in the neighborhood of the display.
4.3 Learning Geometric ModelsBesides using the WorldCursor to ‘point out’ devices to the system, it may also be used by the system to ‘point out’ devices to the user. For example, if the intelligent environment knew where the user's lost keys were, the WorldCursor system might direct the user's attention to their location in response to the user's query.
4.4 Non-Veridical BehaviorThus far WorldCursor control and applications which strive to replicate the exact motions of the user's manipulations of the XWand have been explored. There may also be interesting possibilities in considering how this one to one mapping may be violated.
For example, in [2] users' ability to finely control a standard laser pointer in an object selection task is studied. In part, performing object selection and other GUI related tasks with a laser pointer is difficult because it is surprisingly difficult to hold a laser pointer still. In Section 3.3.1, a switching filter technique was described which can be used to significantly dampen the motion of the cursor when the user is moving the XWand slowly. The WorldCursor can thus do for laser pointer-based interaction what ‘SteadyCam’ has done for home videos, by eliminating the jitter and noise associated with standard laser pointers. This damping filter is especially useful in working with display surfaces, where often GUI elements are small and densely packed. Thus, the WorldCursor system can act as an improved laser pointer.
In an environment where there are many selectable objects, it may be advantageous to employ a “Snap To” feature for the WorldCursor. If the user guides the cursor near an active device, a simple spring model may be used to bring the cursor precisely on the target. For example, a simple distance threshold can be employed such that if the laser beam is moved to a location near an object that is within the threshold distance, it is automatically redirected to the shine on that object. Not only may this ease target selection, it also is a convenient way to alert the user to the fact that the object is active and selectable.
In the case when the XWand is used with gestures to control the currently selected device, the WorldCursor can be used to ‘play back’ the gesture as a way to teach the user the available gestures for that device.
As with the mouse, users of the WorldCursor attend the cursor and almost never look at the XWand itself. In some cases users have difficulty finding the laser spot, particularly in the case when the cursor is ‘parked’ at a location in the environment out of the field of view, as in the beginning of a clutching operation. One solution to this problem is to bring the cursor to a ‘home’ position after a period of inactivity, or to animate the laser spot to draw the user's attention when the XWand is first picked up.
While throughout the foregoing description of the WorldCursor system the XWand was employed as a pointing device, this need not be the case. Generally, any conventional pointing device could be used to steer the WorldCursor laser. For example, a computer mouse, track ball, or gamepad could be adapted to this purpose. Of course, some of the above-described features of the XWand-WorldCursor combination would not be possible, such as the absolute pointing mode and 3D modeling features, because of the lack of pointer orientation data. However, the conventional pointing devices can support features such as spherical coordinate modeling and object selection, the above-described display surface feature, and general laser pointer-type functions.
5.0. References
- [1] Haines, E. (1994) In Graphics Gems IV (Ed, Heckbert, P.) Academic Press, pp. 24-46.
- [2] Myers, B. A., R. Bhatnagar, J. Nichols, C. H. Peck, D. Kong, R. Miller, and A. C. Long (2002), Interacting At a Distance: Measuring the Performance of Laser Pointers and Other Devices, in Proceedings CHI Minneapolis, Minn.
- [3] Zisserman, H. R. a. A. (2000) Multiple View Geometry in Computer Vision, Cambridge University Press.
Claims
1. A system comprising:
- an object position determination device configured to determine a first position of an object at a first time and a second position of the object at a second time, the object position determination device including a camera configured to detect light traveling from the object to the camera; and
- an input determination device configured to determine an input based at least partly upon the first position and the second position, the input corresponding to one of a plurality of stored gestures.
2. The system of claim 1, wherein the object position determination device includes a second camera.
3. The system of claim 2, wherein at least one of the camera and the second camera is an infra red camera.
4. The system of claim 1, wherein the object includes an infrared emitter.
5. The system of claim 1, wherein the object is an electronic device.
6. The system of claim 1, further comprising:
- a training device configured to obtain training data from a user, wherein the input determination device is further configured to determine the input based at least partly upon the training data.
7. A method comprising:
- detecting, by a camera, first light traveling from an object to the camera at a first time;
- determining a first position of the object at the first time based at least partly on the first light;
- detecting, by the camera, second light traveling from the object to the camera at a second time;
- determining a second position of the object at the second time based at least partly on the second light; and
- determining an input based at least partly upon the first position and the second position, the input corresponding to one of a plurality of stored gestures.
8. The method of claim 7, further comprising:
- detecting, by a second camera, third light traveling from the object to the second camera at the first time;
- determining the first position of the object at the first time based at least partly on the third light;
- detecting, by the second camera, fourth light traveling from the object to the second camera at the second time; and
- determining the second position of the object at the second time based at least partly on the fourth light.
9. The method of claim 8, wherein at least one of that camera and the second camera is an infra red camera.
10. The method of claim 7, wherein the object includes an infrared emitter.
11. The method of claim 7, wherein the object is an electronic device.
12. The method of claim 7, further comprising:
- obtaining training data from a user; and
- determining the input based at least partly upon the training data.
13. A computer storage medium storing computer-executable instructions that when executed by a processor cause a computer to execute steps comprising:
- detecting first light traveling from an object to a camera at a first time;
- determining a first position of the object at the first time based at least partly on the first light;
- detecting second light traveling from the object to the camera at a second time;
- determining a second position of the object at the second time based at least partly on the second light; and
- determining an input based at least partly upon the first position and the second position, the input corresponding to one of a plurality of stored gestures.
14. The computer storage medium of claim 13, wherein the steps further comprise:
- detecting third light traveling from the object to a second camera at the first time;
- determining the first position of the object at the first time based at least partly on the third light;
- detecting fourth light traveling from the object to the second camera at the second time; and
- determining the second position of the object at the second time based at least partly on the fourth light.
15. The computer storage medium of claim 14, wherein at least one of that camera and the second camera is an infra red camera.
16. The computer storage medium of claim 13, wherein the object includes an infrared emitter.
17. The computer storage medium of claim 13, wherein the object is an electronic device.
18. The computer storage medium of claim 13, wherein the steps further comprise:
- obtaining training data from a user; and
- determining the input based at least partly upon the training data.
Type: Application
Filed: Apr 27, 2009
Publication Date: Aug 20, 2009
Applicant: Microsoft Corporation (Redmond, WA)
Inventors: Andrew Wilson (Seattle, WA), Hubert Pham (Cupertino, CA)
Application Number: 12/430,136
International Classification: G09G 5/08 (20060101);