Abstract: Systems and methods are disclosed for determining position information for a mobile device by combining motion sensor data with acoustic sensor data.

Abstract: Systems and methods are disclosed for predicting a future orientation of a device. A future motion sensor sample may be predicted using a plurality of motion sensor samples for the device up to a current time. After determining the current orientation of the device, the predicted motion sensor sample may be used to predict a future orientation of the device at one or more times.

Abstract: A system and method for efficiently and accurately classifying user activity. In a non-limiting example, accelerometer signals and/or gyroscope sensor signals may be analyzed to classify user activity, for example, that of a user of a handheld and/or wearable device. Information from additional sources and sensors (e.g., other inertial sensors, non-inertial sensors, passive sensors, etc.) may also be utilized.

Abstract: Systems and methods for human hand gesture recognition through a training mode and a recognition mode are disclosed. In the training mode, a user can move a handheld device with a hand gesture intended to represent a command. Sensors within the handheld device can record raw data, which can be processed to obtain a set of values corresponding to a set of discrete features, which is stored in a database and associated with the intended command. The process is repeated for various hand gestures representing different commands. In the recognition mode, the user can move the handheld device with a hand gesture. A computer system can compare a set of values corresponding to a set of discrete features derived from the hand gesture with the sets of values stored in the database, select a command with the closest match and displays and/or executes the command.

Abstract: Described herein is an intelligent remote controlling device (e.g. a mobile phone). The device can include a six-axis motion sensor to accurately track three dimensional hand motions. For example, the sensors can include a three-axis accelerometer and a three-axis gyroscope. The remote control device can also include a processing unit integrated with the motion sensors in a single module. The processing unit can convert data regarding the hand motion to data regarding a cursor motion for a cursor that will be displayed on a screen of an electronic device. The processing unit can be integrated with the motion sensors in a single module (e.g. an integrated circuit chip (IC)). The processing unit can include at least two modes of functionality corresponding to different types of hand motion: a one to one mode where the cursor directly tracks the hand motion and a non-linear mode that filters data from the motion sensors to eliminate hand jitter.

Abstract: Systems and methods are disclosed for detecting when a magnetic anomaly may impact the quality of data being output by a magnetometer. A plurality of detection algorithms may be performed in parallel on the sensor data. Further, indication of a anomaly from one or a combination of the detection algorithms may cause the magnetometer data to have a reduced contribution in any sensor fusion operation or may be omitted from a sensor fusion operation as desired.

Abstract: Methods and systems for reducing or eliminating distortion in an image are described. The approach generally involves determining the distortion introduced by a lens, and modifying a captured image to reduce that distortion. In one embodiment, the distortion information associated with a lens is determined. The distortion information is stored. A captured image taken by that lens is processed, with reference to the distortion information.

Abstract: Systems and methods for human hand gesture recognition through a training mode and a recognition mode are disclosed. In the training mode, a user can move a handheld device with a hand gesture intended to represent a command. Sensors within the handheld device can record raw data, which can be processed to obtain a set of values corresponding to a set of discrete features, which is stored in a database and associated with the intended command. The process is repeated for various hand gestures representing different commands. In the recognition mode, the user can move the handheld device with a hand gesture. A computer system can compare a set of values corresponding to a set of discrete features derived from the hand gesture with the sets of values stored in the database, select a command with the closest match and displays and/or executes the command.

Abstract: This disclosure provides techniques for guiding a user through a calibration operation of a mobile device having a motion sensor. The user may receive one or more visual cues to aid the user in positioning the device in one or more desired orientations or patterns of motion. The visual cues may be with respect to a virtual three dimensional environment that is responsive to a determined orientation of the device.

Abstract: Systems and methods are disclosed for calibrating a sensor. A recursive least squares estimation may be performed to update a mean and a covariance matrix for samples of data from a motion sensor and a bias estimate for the motion sensor may be derived from the mean and covariance matrix. The motion sensor may be an gyroscope, an accelerometer or a magnetometer.

Abstract: Systems and methods for human hand gesture recognition through a training mode and a recognition mode are disclosed. In the training mode, a user can move a handheld device with a hand gesture intended to represent a command. Sensors within the handheld device can record raw data, which can be processed to obtain a set of values corresponding to a set of discrete features, which is stored in a database and associated with the intended command. The process is repeated for various hand gestures representing different commands. In the recognition mode, the user can move the handheld device with a hand gesture. A computer system can compare a set of values corresponding to a set of discrete features derived from the hand gesture with the sets of values stored in the database, select a command with the closest match and displays and/or executes the command.

Abstract: A device disclosed herein can include a six-axis motion sensor to accurately track three dimensional hand motions. For example, the sensors can include a three-axis accelerometer and a three-axis gyroscope. The remote control device can also include a processing unit integrated with the motion sensors in a single module. The processing unit can convert data regarding the hand motion to data regarding a cursor motion for a cursor that will be displayed on a screen of an electronic device. The processing unit can be integrated with the motion sensors in a single module (e.g. an integrated circuit chip (IC)).

Abstract: Described herein is an intelligent remote controlling device. The device can include a six-axis motion sensor to accurately track three dimensional hand motions. For example, the sensors can include a three-axis accelerometer and a three-axis gyroscope. The remote control device can also include a processing unit integrated with the motion sensors in a single module. The processing unit can convert data regarding the hand motion to data regarding a cursor motion for a cursor that will be displayed on a screen of an electronic device. The processing unit can be integrated with the motion sensors in a single module. The processing unit can include at least two modes of functionality corresponding to different types of hand motion: a one to one mode where the cursor directly tracks the hand motion and a non-linear mode that filters data from the motion sensors to eliminate hand jitter.

Abstract: An inertial measurement system is disclosed. The inertial measurement system has an accelerometer processing unit that generates a calibrated accelerometer data. The inertial measurement system further includes a magnetometer processing unit generates a calibrated magnetometer data, and a gyroscope processing unit generates a calibrated gyroscope data. Using the calibrated accelerometer data, the calibrated magnetometer data, and the calibrated gyroscope data, the inertial measurement system generates a heading angle error indicative of the accuracy of the heading angle error.

Abstract: A flicker band automated detection system and method are presented. In one embodiment an incidental motion mitigation exposure setting method includes receiving image input information; performing a motion mitigating flicker band automatic detection process; and implementing exposure settings based upon results of the motion mitigating flicker band automatic detection process. The auto flicker band detection process includes performing a motion mitigating process on an illumination intensity indication. Content impacts on an the motion mitigated illumination intensity indication are minimized. The motion mitigated illumination intensity indication is binarized. A correlation of the motion mitigated illumination intensity and a reference illumination intensity frequency is established.

Abstract: A flicker band automated detection system and method are presented. In one embodiment an incidental motion mitigation exposure setting method includes receiving image input information; performing a motion mitigating flicker band automatic detection process; and implementing exposure settings based upon results of the motion mitigating flicker band automatic detection process. The auto flicker band detection process includes performing a motion mitigating process on an illumination intensity indication. Content impacts on an the motion mitigated illumination intensity indication are minimized. The motion mitigated illumination intensity indication is binarized. A correlation of the motion mitigated illumination intensity and a reference illumination intensity frequency is established.

Abstract: An image processor in an image capture device compensates for the effects of undesirable camera shakes occurring during video capture The image processor receives a pair of source frames representing images of a scene, generates a pair of subsampled frames from the source frames, and computes a coarse displacement of the captured image due to camera shakes by comparing the two subsampled frames. The image processor may then refine the determined coarse displacement by comparing the two source frames and a bound determined by an extent of subsampling, and compensate for the displacement accordingly. Display aberrations such as blank spaces caused due to shifting are also avoided by displaying only a portion of the captured image and shifting the displayed portion to compensate for camera shake. The image processor also recognizes displacements due to intentional camera movement, and does not correct for such displacements.

Abstract: A technique for reducing artifacts in a digital image, in accordance with one embodiment, includes receiving a stream of raw filter pixel data representing the image. The raw filter pixel data is interpolating to produce red, green-on-red row, green-on-blue row and blue pixel data for each pixel. An artifact in one or more given pixels is reduced as a function of a difference between the green-on-red row and green-on-blue row pixel data of each of the given pixels to generate adjusted interpolated pixel data.

Abstract: Systems, methods, and apparatus for performing deduced reckoning navigation without a constraint relationship between orientation of a sensor platform and a direction of travel of an object are described herein. A sensor fusion component can be configured to receive data from sensors of a sensor platform coupled to a pedestrian; and generate world coordinate information based on the data. Further, a gait recognition component can be configured to record one or more walking patterns of the pedestrian in a training database; and determine whether the world coordinate information is associated with a walking pattern of the one or more walking patterns. Furthermore, a position estimation component can be configured to estimate a position of the pedestrian based on the world coordinate information if the world coordinate information is associated with the walking pattern, regardless of an orientation of the sensor platform with respect to the position of the pedestrian.

Abstract: Systems, methods, and apparatus for performing deduced reckoning navigation without a constraint relationship between orientation of a sensor platform and a direction of travel of an object are described herein. A sensor fusion component can be configured to receive data from sensors of a sensor platform coupled to a pedestrian; and generate world coordinate information based on the data. Further, a gait recognition component can be configured to record one or more walking patterns of the pedestrian in a training database; and determine whether the world coordinate information is associated with a walking pattern of the one or more walking patterns. Furthermore, a position estimation component can be configured to estimate a position of the pedestrian based on the world coordinate information if the world coordinate information is associated with the walking pattern, regardless of an orientation of the sensor platform with respect to the position of the pedestrian.