Abstract: A free-hand inspection apparatus for non-destructively inspecting a structure may comprise an array and an inertial sensor. The array may comprise a plurality of elements for transmitting and receiving inspection signals towards and from a structure being inspected. The inertial sensor may be for measuring acceleration and angular rotation rate in X, Y, and Z directions of the array.

Abstract: To realize miniaturization and detection of a walk state in which no arm is swung in an electronic pedometer in which at least a walk sensor is used in a state of being worn on a wrist. An acceleration sensor is disposed so that a sensitivity axis of the acceleration sensor is located in a range of 30° or smaller in a counterclockwise direction from the direction of 90° with respect to a longitudinal direction of a belt. A user of an electronic pedometer wears the electronic pedometer on his/her left wrist using the belt and starts processing for counting the number of steps by manipulating a manipulation portion, and also starts to walk, thereby starting counting the number of steps. The user checks the counted number of steps and the measured time period based on displayed contents on a step number display portion and a time display portion of a display portion.

Abstract: A personal electronic device determines its orientation by performing a number of operations. The personal electronic device determines one or more sample periods and creates rolling averages of accelerations for a plurality of axes over the one or more sample periods. The personal electronic device then identifies current values for the rolling averages of accelerations along each of the plurality of axes, wherein the current values indicate a gravitational influence and assigns a dominant axis based upon the current values.

Abstract: One embodiment of the present invention provides a system that generates a vibration profile for a rotational device in a computer system. During operation, the system sequentially sweeps a rotation speed of a rotational device over a range of rotation speeds. While driving the rotational device at each rotation speed, the system collects a time-domain vibration signal produced by the rotational device and subsequently computes a frequency spectrum of the time-domain vibration signal. In this way, the system generates a set of frequency spectra associated with the range of rotation speeds. Next, the system combines the set of frequency spectra to generate a composite vibration profile for the rotational device.

Abstract: Preventative actions normally performed in response to detecting a trigger event triggered by an accelerometer attached to a portable device may be bypassed during a quiet period. The quiet period may be initiated in response to detecting at least one repeated trigger event within a time window encompassing the first trigger event, and may be terminated based on an expiration criterion.

Abstract: A method of identifying a type of motion of an animate or inanimate object is disclosed. The method includes generating an acceleration signature based on the sensed acceleration of the object. The acceleration signature is matched with at least one of a plurality of stored acceleration signatures, wherein each stored acceleration signatures corresponds with type of motion. The type of motion of the object is identified based on the statistical matching or exact matching of the acceleration signature.

Abstract: A digital high-pass filter has an input, an output, and a subtractor stage, having a first input terminal, a second input terminal and an output terminal. The first input terminal of the subtractor stage is connected to the input of the digital high-pass filter and the output terminal is connected to the output of the digital high-pass filter. A recursive circuit branch is connected between the output of the digital high-pass filter and the second input terminal of the subtractor stage. Within the recursive circuit branch are cascaded an accumulation stage, constituted by an integrator circuit, and a divider stage. The cutoff frequency of the digital high-pass filter is variable according to a dividing factor of the divider stage.

Abstract: A multi-station gravity and magnetic survey is carried out in a borehole. The data from the survey are processed to estimate the inclination and azimuth of the borehole. The drill collar relative permeability is estimated, and the estimated drill collar permeability is then used to remove the effects of induced magnetization of the drill collar on the magnetic measurements.

Abstract: Method for obtaining physiological muscle values of a user by means of a programmable accelerometer, wherein the method comprises the following operations: selection, by the user, of the type of test to be carried out; measurements of a sequence of acceleration data during the test; emission of sound signals at the beginning, during and at the end of the test. The end of the test is determined by verifying a condition dependent on the type of test selected. The sound signals can indicate the beginning of a test, an action to be carried out during the test, or an error condition during the test; displaying of a value calculated on the basis of said successive measurements of the acceleration and dependent on the type of test selected.

Abstract: A wireless sensor is provided to obtain information relating to vibration of wafers or substrates in a semiconductor processing system. In one exemplary embodiment, a wireless substrate-like sensor is provided and includes a power source adapted to provide power to the sensor, a wireless communication module coupled to the power source, and a controller coupled to the power source and the wireless communication module. An acceleration detection component is operably coupled to the controller to provide information relative to acceleration of the sensor in three axes.

Abstract: Systems and methods for location, motion, and contact detection and tracking in a portable networked device are disclosed. A portable device may include a motion detection unit including an accelerometer for detecting accelerations in one or more axes. Signals associated with the detected motion are processed to generate estimates of device acceleration, velocity, and relative and absolute locations. Additional processing may be performed to detect user gestures or other user input relevant to portable device control. Particular motion or vibrational characteristics may be also be detected and used by other processes in the portable device.

Abstract: There is described a portable wrist worn device for determining information about the movement of a human body when swimming. The device comprises a waterproof housing containing: an accelerometer operable to generate an acceleration signal; a processor operable to process the acceleration signal so as to generate one or more metrics relating to the movement of the human body; and a means for feedback of the one or more metrics to the user. The accelerometer may be operable to generate an acceleration signal along an axis parallel to the proximo-distal axis of the user's arm in use and/or the accelerometer may be operable to generate an acceleration signal along an axis parallel to the dorsal-palmar axis of the user's hand in use. The device may also be used in sports other than swimming.

Abstract: A sensor response time acceleration method including the steps of reading a signal step and an operating on the signal step. The reading a signal step includes reading a signal from a sensor, the signal representative of an environmental attribute as detected by the sensor. The operation on the signal step includes operating on the signal with a function of an inverse model of the sensor and a function representative of a desired sensor model to yield an accelerated output representative of the environmental attribute.

Abstract: A system for determining airtime, speed and/or drop distance of a moving sportsman includes at least one accelerometer for detecting vibration or acceleration of the sportsman and/or a GPS unit. A processor in communication with the at least one accelerometer may process signals from the accelerometer to determine free-fall.

Abstract: When an electrical submersible pump motor runs, rotary vibrations occur in the same direction as the rotation of the motor. This vibration can be detected by an XY vibration sensor. Depending on the rotation direction, the vibration along the X-axis will be out of phase +90 degrees or ?90 degrees with the vibration in the Y-axis. To determine the rotation direction, the vibration sensor measures a vibration of an ESP pump in two axes, recording first and second vibration signals. Next, whether the first signal either leads or lags the second signal is determined by, for example, comparing correlations of the first and second signal with the second signal shifted by plus and minus one-fourth of the period of rotation. Then a direction of a rotation of the electrical submersible pump can be determined responsive to the determination of whether the first signal either leads or lags the second signal.

Abstract: Methods and apparatuses for operating a portable device based on an accelerometer are described. According to one embodiment of the invention, it is determined whether a portable device is moving using an accelerometer. It is determined a moving pattern of the portable device based on movement data provided by the accelerometer. A media content is selected based on the moving pattern of the portable device. The selected media content is played via the portable device. Other methods and apparatuses are also described.

Abstract: A three-dimensional (3D) motion identifying method and system are used for identifying a motion of an object in a 3D space. First, the method provides a database recording sets of predetermined inertial information, and each of the sets of predetermined inertial information is an inertial movement of a specific motion in the 3D space. Then, inertial information of the object in moving is retrieved via a motion sensor in the object, and the inertial information is compared with all predetermined inertial information in the database to determine similarities therebetween. Finally, whether the motion of the object is the same as any predetermined inertial information or not is determined according to a degree of the similarity. As a result, more complicated motions of the object can be directly identified via the comparison with the database.

Abstract: A method is provided for analyzing vibrations of a variable speed rotating body. The method includes producing a signal that is proportional to an acceleration of the rotating body and producing a plurality of pulses. Each pulse represents a revolution of the rotating body and is indicative of a vibration sample at a rotational position of the rotating body. The signal is converted to a numeric value that is indicative of a vibrational amplitude of the rotating body. The plurality of pulses are converted to revolution time periods indicative of a rotational rate of the rotating body. The method also includes producing a harmonic vibrational amplitude at a harmonic of the rotational rate of the rotating body, and representing a phase of the harmonic vibrational amplitude relative to the rotational position of the rotating body.

Abstract: A system, a computer readable storage medium including instructions, and a method for determining an attitude of a device undergoing dynamic acceleration. A difference between a first accelerometer measurement received from a first multi-dimensional accelerometer of the device and a second accelerometer measurement received from a second multi-dimensional accelerometer of the device is calculated. A Kalman gain is adjusted based on the difference, wherein the Kalman gain is used in a Kalman filter that determines the attitude of the device. An attitude of the device is determined using the Kalman filter based at least in part on the Kalman gain, the first accelerometer measurement, the second accelerometer measurement, and a magnetic field measurement received from a multi-dimensional magnetometer of the device.

Abstract: An input device includes a main body and a motion sensor unit. The main body has a longitudinal axis. The motion sensor unit is configured and arranged to detect rotation of the main body about the longitudinal axis. The motion sensor unit has an X-axis angular velocity sensor configured and arranged to detect an angular velocity of the main body about an X-axis in a three-dimensional orthogonal coordinate system defined by the X-axis, a Y-axis and a Z-axis. The X-axis coincides with the longitudinal axis of the main body and the Y-axis and the Z-axis being orthogonal to each other in a first plane perpendicular to the X-axis.

Abstract: A method, apparatus, and article containing computer instructions are described. Embodiments may use accelerometer data regarding forward motion by a wearer of a three-axis on-body accelerometer. Embodiments may further measure an acceleration due to gravity on each axis x, y, z of the accelerometer and use the direction of gravity to associate or align the x axis of the accelerometer with gravity. Embodiments may then use the acceleration not due to gravity to identify the forward motion and associate or align the forward direction with the y axis. The remaining direction may be identified as the sideways direction, which may be associated or aligned with the z axis. Additional activities may then be performed using the now-known orientation of the accelerometer. Other embodiments are described and claimed.

Abstract: A method to correct for a systematic error of a sensor having a plurality of accelerometers configured to measure gravitational acceleration, the method including: rotating the plurality of accelerometers about a first axis; obtaining a first set of calibration measurements from the plurality of accelerometers from the rotation about the first axis; determining a first systematic error for each accelerometer in the plurality using the first set of calibration measurements; and removing the first systematic error from sensor measurements to correct for the systematic error.

Abstract: An angular velocity detected by an angular velocity sensor (10) is integrated by a small angle matrix calculator (12) and a matrix adding calculator (14), and then restored as a posture angle (angular velocity posture angle) by a matrix posture angle calculator (16). A posture matrix is calculated by a tilt angle calculator (22) and an acceleration matrix calculator (24) and an acceleration detected by an acceleration sensor (20) is restored as a posture angle (acceleration posture angle) by a matrix posture angle calculator (26). Low pass filters (18, 28) each extract a low range component, the difference between the two is calculated by a differencer (30), and only the drift amount is extracted. A subtracter (32) removes the drift amount from the angular velocity posture angle and the result is output from an output device (34). In addition, a posture angle matrix calculator (36) converts the result to a posture matrix, which it feeds back to the matrix adding calculator (14).

Abstract: A motion mode determination apparatus is disclosed, including an inertial device, a frequency decomposition module, a characteristic value generator, a training module and a determination module. The inertial device collects at least a first motion signal corresponding to a first motion mode and at least a second motion signal corresponding to a second motion mode, wherein each of the first and second motion signals includes a first signal, a second signal and a third signal. The frequency decomposition module decomposes the first signal into a first high-frequency signal and a first low-frequency signal. The characteristic value generator generates a plurality of characteristic values, wherein the characteristic values are the means and variances for each group of the first high-frequency signals, the first low-frequency signals, the second signals and the third signals respectively. The training module generates first and second data groups.

Abstract: A method for estimating the normal force at a wheel of a vehicle and the vertical acceleration of the vehicle that has particular application for ride and stability control of the vehicle. The method includes obtaining a suspension displacement value from at least one of a plurality of suspension displacement sensors mounted on the vehicle and estimating a spring force acting on a spring of a suspension element of the vehicle, a damper force acting on a damper of the suspension element of the vehicle, and a force acting at a center of a wheel. The method further includes determining a normal force at the wheel of the vehicle and a vertical acceleration of the vehicle based on the spring force, the damper force and the force at the center of the wheel of the vehicle.

Abstract: A system and method for analyzing a device that includes a mass configured for motion. The system includes a tri-axial accelerometer disposed to detect acceleration vectors of the device and to output three channels of acceleration data, and a user interface receiving the three channels of acceleration data. The user interface is configured to correlate the three channels of acceleration data with a reference frame defined by three orthogonal axes intersecting at a vertex, and includes a display and a selector. The display shows sets of options that represent dispositions of the device with respect to gravity, placements of the tri-axial accelerometer with respect to the device, and orientations of the tri-axial accelerometer with respect to the device. The selector selects one device disposition option, one tri-axial accelerometer placement option, and one tri-axial accelerometer orientation option.

Abstract: An uniaxial acceleration sensor senses an acceleration. An analog to digital (AD) converter converts the acceleration into a digital sensor value. A square-value calculating unit calculates a square value of the sensor value. A zero-point determining unit determines whether the square value is zero and every time the square value becomes zero, instructs an energy calculating unit to output energy. The energy calculating unit calculates the energy by integrating the square value. Upon receiving instructions to output the energy, the energy calculating unit outputs the stored energy to a threshold comparing unit. The threshold comparing unit compares the energy with a predetermined threshold. A tentative walking processing unit counts the number of times the energy is equal to or larger than the predetermined threshold. A step calculating unit calculates steps by dividing a counter value of the tentative walking processing unit by two.

Abstract: Systems and methods are provided for tracking a moving person. The system comprises a controller configured to receive acceleration data that characterizes an acceleration of the moving person in three dimensions. The controller comprises a step rate component that determines a step rate for the person based on a vertical component of the acceleration data. The controller also comprises a body offset component that determines a body offset angle based on a spectral analysis of the acceleration data and the step rate. The controller further comprises a velocity component that determines a reference velocity vector based on the body offset angle and the step rate.

Abstract: A method and system for fall-onset detection is provided. The method includes the steps of monitoring acceleration at the thigh of a person; monitoring acceleration at the waist of the person; monitoring orientation of the thigh of the person; and detecting the fall-onset if the orientation of the thigh exceeds a first threshold value and a correlation between variation in acceleration of the thigh and variation in acceleration of the waist exceeds a second threshold value and a correlation between variation in the orientation of the thigh and a fall-template variation exceeds a third threshold value.

Abstract: The data acquisition means acquires the acceleration data at predetermined time intervals. The change amount calculation means calculates a change amount vector representing a change amount of the acceleration by using the acceleration data having been acquired by the data acquisition means. The accumulation vector calculation means calculates an accumulation vector by sequentially and cumulatively adding the change amount vector having been calculated by the change amount calculation means. The direction determination means determines, as a waving direction representing a moving direction of the input device, a direction of the accumulation vector, when the accumulation vector having been calculated by the accumulation vector calculation means satisfies a predetermined condition.

Abstract: A processor of an apparatus in one example makes a determination of an environmental characteristic based on an average of a plurality of concomitant values that correspond to the environmental characteristic.

Abstract: An ergonomic inertial positioning system comprises a motion sensor, an angle sensor, and a processor. The motion sensor detects movement of an object. The angle sensor detects angle variation of the heading of the object. The processor determines motion status of the object based on detected data provided by the motion sensor and the angle sensor, and calculates displacement of the object utilizing the detected angle variation thereof based on the motion status.

Abstract: A system for determining the position of a tool mounted on a digging machine includes a monitoring appliance and several independent position-detecting devices each including: an attachment face including attachment elements held flush against an articulated component of the machine, a wireless communication module that sends data to the monitoring appliance, an independent electrical power supply source, a processing unit, an electronic module with angular position sensors. The devices are distributed so that each is on a different articulated part of the machine. The devices need no cables and are easy to fit. Signals emitted by the devices are received by the monitoring appliance, which calculates a set point for positioning the tool. The set point is displayed on a screen for viewing by an operator located in a cab.

Abstract: A system and a method for determining an attitude of a device undergoing dynamic acceleration is presented. A first attitude measurement is calculated based on a magnetic field measurement received from a magnetometer of the device and a first acceleration measurement received from a first accelerometer of the device. A second attitude measurement is calculated based on the magnetic field measurement received from the magnetometer of the device and a second acceleration measurement received from a second accelerometer of the device. A correction factor is calculated based at least in part on a difference of the first attitude measurement and the second attitude measurement. The correction factor is then applied to the first attitude measurement to produce a corrected attitude measurement for the device.

Abstract: Certain embodiments described herein provide a measure of the misalignment of multiple acceleration sensors mounted in the downhole portion of a drill string. In certain embodiments, the measure of the misalignment corresponds to a measure of sag which can be used to provide an improved estimate of the inclination of the downhole portion of the drill string and/or the wellbore. Certain embodiments described herein provide an estimate of the magnetic interference incident upon a drilling system using multiple magnetic sensors mounted within a non-magnetic region of the downhole portion of the drilling system. Certain embodiments utilize the magnetic measurements to determine an axial interference resulting from one or more magnetic portions of the downhole portion and to provide an improved estimate of the azimuthal orientation of the downhole portion with respect to the magnetic field of the Earth.

Abstract: A portable electronic apparatus includes an acceleration detection unit, an evaluation-signal generation unit, and a control unit. The acceleration detection unit is configured to detect an acceleration generated in the portable electronic apparatus. The evaluation-signal generation unit is configured to carry out a predetermined process based on the acceleration detected by the acceleration detection unit in order to generate an evaluation signal representing the amplitude and positive or negative polarity of the acceleration. The control unit is configured to produce a result of determination as to whether or not the portable electronic apparatus has been driven to make a predetermined movement on the basis of the evaluation signal and carrying out a predetermined operation on the basis of the result of determination.

Abstract: An implementation of a system and method for using sensors such as one or more gyroscopes and/or accelerometers to sense input is provided. For example, one or more of such sensors may be use to provide virtual buttons at various areas on the housing of a mobile device, detect a force against the housing, or to detect relative movement of the mobile device.

Abstract: A fall detecting method and a device for detecting a fall with high accuracy even when an object touches a human or a thing while falling. The fall detecting device has an output detecting part for generating an acceleration detection output after comparing the magnitude of acceleration detected by a three-axis acceleration sensor with a certain threshold, an output interruption correcting part for generating an output interruption corrected acceleration output which is corrected for an interruption when a fall acceleration output recovers within a first predetermined time after the fall acceleration output interrupts, and an output continuation time judging part for generating a fall judgment output when the output interruption corrected acceleration output continues for a second predetermined time longer than the first predetermined time.

Abstract: Disclosed herein is an improved input device for a processing system, such as, for example a computer system; and an improved method for operating that input device. The system monitors at least one indicia, such as an operating parameter of the input device, where the operating parameter has a first characteristic when the input device is in one operating position or state, but where are the operating parameter has a second characteristic when the input device is in another position or state. In one example, the operating parameter includes generally vertical movement of the input device. In other embodiments, other operating parameters may be relied upon.

Abstract: A state classifier uses learning obtained from a plurality of training algorithms each adapted to differentiate between states of physical orientation of an object in response to input data from an tri-axial accelerometer. At least two of the training algorithms are trained using data from an accelerometer mounted at a non-ideal angle. The classifier is trained to distinguish between the desired states from data collected from an tri-axial accelerometer device mounted at a plurality of respective angles with respect to a optimal axis on the object, wherein the angles are in the range of ?180 degrees to +180 degrees. The classifier may include a plurality of classifiers and a decision fusion module used to combine the decisions from the respective classifiers to ascertain a state.

Abstract: By repeatedly obtaining acceleration data, a gravity direction acceleration acting in a gravity direction of a housing and a horizontal direction acceleration acting in a horizontal direction perpendicular to the gravity direction are calculated. By using a first coefficient, a first step count in accordance with a change in the gravity direction acceleration is calculated and by using a second coefficient which is different from the first coefficient, a second step count in accordance with a change in the horizontal direction acceleration is calculated. Based on a predetermined condition, one of the first step count and the second step count is selected as a user's step count.

Abstract: A moving context and a moving time of a user are specified by acceleration information while the user is moving. The moving context represents the user's moving status. The acceleration information is measured by an acceleration sensor carried with the user. The moving context and the moving time are stored in time series. The moving context and the moving time between a moving start time and an arrival time are set as a moving pattern. A tag is set to the moving context in the moving pattern. The tag identifies a function to be executed for the moving context. A moving estimation pattern is generated as the moving pattern having the moving context and the moving time specified by acceleration information measured when the user is newly moving. The function identified by the tag is executed, when the moving context set with the tag in the moving estimation pattern coincides with a moving context specified by acceleration information measured while the user is newly moving.

Abstract: Methods and apparatus for incremental prediction of input device motion. In one embodiment, the input device comprises one or more sensors adapted to output motional data of the input device as measured at a certain period. A prediction of input device motion is generated based upon the last prediction and a weighted error in estimate determined by the sensory output. According to one embodiment, the weight is calculated as a Kalman gain. In one embodiment, once the prediction has been generated, it is provided to a display update algorithm adapted to orient a navigational object upon an associated display screen.

Abstract: Disclosed is a system for monitoring operation of a hand tool including an accelerometer coupled to the hand tool, a transmitter in data communication with the accelerometer, and a processor for receiving data from the transmitter and analyzing the data to detect an event associated with operation of the hand tool.

Abstract: According to one embodiment, a method is provided for calculating, by an activity monitor comprising one accelerometer, a raw activity energy expenditure data based on movement by a user. The method includes determining if the raw activity energy expenditure data is associated with a high intensity physical activity, wherein the high intensity physical activity causes the raw activity energy expenditure data to differ from an expected activity energy expenditure data. The method includes calculating a corrected activity energy expenditure data, if the raw activity energy expenditure data is associated with the high intensity physical activity, based on the raw activity energy expenditure data, wherein the corrected activity energy expenditure data is substantially identical to the expected activity energy expenditure data.

Abstract: A system and method for detecting falls is disclosed herein. A mobile pressure sensor is used to generate a mobile pressure signal and a reference pressure sensor at a reference height above a surface is used to generate a reference pressure signal. A processor in communication with the mobile pressure sensor and the reference pressure sensor is used to perform the steps of: (i) determining a height above the surface of the mobile pressure sensor based on the reference height and the reference pressure signal and the mobile pressure signal; and (ii) if the height is below a threshold height, determining that a fall has occurred.

Abstract: A velocity calculation device includes: a vertical direction acceleration detection portion that is mounted on a vehicle and detects an acceleration in a vertical direction generated correspondingly to undulation of a road surface; a horizontal direction angular velocity detection portion that is mounted on the vehicle and detects an angular velocity about a horizontal axis orthogonal to a travel direction of the vehicle generated correspondingly to the undulation of the road surface; and a velocity calculation portion that calculates a velocity in the travel direction of the vehicle on the basis of the acceleration in the vertical direction and the angular velocity about the horizontal axis.

Abstract: In a displacement detection device, an acceleration sensor generates at least a first acceleration signal relating to an axis of detection, and a displacement detection circuit is connected to the acceleration sensor has a comparator stage for comparing the acceleration signal with a programmable acceleration threshold and generates a displacement-detection signal. A high-pass filter is arranged between the acceleration sensor and the comparator stage so as to reduce a DC component of the acceleration signal. The cut-off frequency of the high-pass filter is modified according to the type of displacements that are to be detected.

Abstract: Motion capture and analysis is described, including a motion sensor unit configured to capture data associated with movement of an object, to process the data to determine one or more values, to store the data and the one or more values, and to convert the data and the one or more values from an analog signal to a digital signal associated with a wireless transmission, and a display unit configured to receive the data from the motion sensor unit, the data being transmitted using through the wireless transmission, to process the data to determine one or more values, to store the data, and to graphically present the data and the one or more values.

Abstract: A system and method for determining a position of an articulated member with respect to a predetermined plane comprise a multi-axis accelerometer mounted to a first movable member of an articulated set of members. The multi-axis accelerometer produces a sinusoidal signal in proportion to a position of the member with respect to a predetermined set of axes of a predetermined plane. An motion controller operatively in communication with the multi-axis accelerometer determines the angle of inclination as the arctangent of two readings obtained from the accelerometer.