Abstract: A method of recognizing movement includes measuring, by an inertial sensor, a first unit of inertia of an object. In addition, the method includes measuring a three dimensional shape of the object. Further, the method includes receiving, by a processor, a signal representative of the measured first unit of inertia from the inertial sensor and a signal representative of the measured shape from the depth sensor. Still further, the method includes determining a type of movement of the object based on the measured first unit of inertia and the measured shape utilizing a classification model.

Abstract: A movement recognition system includes an inertial sensor, a depth sensor, and a processor. The inertial sensor is coupled to an object and configured to measure a first unit of inertia of the object. The depth sensor is configured to measure a three dimensional shape of the object using projected light patterns and a camera. The processor is configured to receive a signal representative of the measured first unit of inertia from the inertial sensor and a signal representative of the measured shape from the depth sensor and to determine a type of movement of the object based on the measured first unit of inertia and the measured shape utilizing a classification model.

Abstract: A method including obtaining a first motion signal segment sensed by a motion sensor worn on a user's wrist or forearm; detecting the user performed a first action based on the first motion signal segment; obtaining a second motion signal segment sensed by the motion sensor, wherein the second motion signal segment was sensed by the motion sensor after the first motion signal segment; detecting the user performed a second action based on the second motion signal segment and in response to the detection of the first action; determining that a first medication was taken by the user based on the detection of the second action; and, in response to the determination that the first medication was taken by the user, causing presentation of an indication to the user or transmitting an indication to an external device that the first medication was taken by the user.

Abstract: A movement recognition system includes an inertial sensor, a depth sensor, and a processor. The inertial sensor is coupled to an object and configured to measure a first unit of inertia of the object. The depth sensor is configured to measure a three dimensional shape of the object using projected light patterns and a camera. The processor is configured to receive a signal representative of the measured first unit of inertia from the inertial sensor and a signal representative of the measured shape from the depth sensor and to determine a type of movement of the object based on the measured first unit of inertia and the measured shape utilizing a classification model.

Abstract: The claimed invention is directed to a real-time noise classification and tuning system for cochlear implant and other hearing device applications. The system is capable of automatically selecting the optimized parameters of a noise suppression algorithm in response to different noisy environments. The feature vector and the classifier deployed in the system to automatically identify the background noise environment are selected so that the computation burden is kept low to achieve a real-time throughput. The results reported herein indicate improvement in speech enhancement when using this intelligent real-time hearing device system.

Abstract: A method including obtaining a first motion signal segment sensed by a motion sensor worn on a user's wrist or forearm; detecting the user performed a first action based on the first motion signal segment; obtaining a second motion signal segment sensed by the motion sensor, wherein the second motion signal segment was sensed by the motion sensor after the first motion signal segment; detecting the user performed a second action based on the second motion signal segment and in response to the detection of the first action; determining that a first medication was taken by the user based on the detection of the second action; and, in response to the determination that the first medication was taken by the user, causing presentation of an indication to the user or transmitting an indication to an external device that the first medication was taken by the user.

Abstract: An apparatus and method for automatically adjusting an exposure for a digital imaging device by (a) receiving a current image frame using an exposure value (EV), (b) computing a current image spatial entropy (ISE) for the current image frame, and (c) whenever the current ISE is greater than a previous ISE, setting the previous ISE equal to the current ISE, increasing the EV, and repeating steps (a) and (b), and (d) whenever the current ISE is less than or equal to the previous ISE, decreasing the EV, receiving the current image frame using the EV, and displaying the current image frame.

Abstract: The claimed invention is directed to a real-time noise classification and tuning system for cochlear implant and other hearing device applications. The system is capable of automatically selecting the optimized parameters of a noise suppression algorithm in response to different noisy environments. The feature vector and the classifier deployed in the system to automatically identify the background noise environment are selected so that the computation burden is kept low to achieve a real-time throughput. The results reported herein indicate improvement in speech enhancement when using this intelligent real-time hearing device system.

Abstract: An apparatus and method for automatically adjusting an exposure for a digital imaging device by (a) receiving a current image frame using an exposure value (EV), (b) computing a current image spatial entropy (ISE) for the current image frame, and (c) whenever the current ISE is greater than a previous ISE, setting the previous ISE equal to the current ISE, increasing the EV, and repeating steps (a) and (b), and (d) whenever the current ISE is less than or equal to the previous ISE, decreasing the EV, receiving the current image frame using the EV, and displaying the current image frame.

Abstract: An apparatus and method for automatically focusing a lens of a digital imaging device, such as a digital still or video camera or camera phone, that reduces the auto focus time while not compromising image sharpness quality and simultaneously reducing device power consumption due to focus actuator movement, all without tuning or adjustment of thresholds or parameters is disclosed. The present invention automatically computes a set of digital band-pass filters matched to the imaging device specifications along with corresponding step-size magnitudes. A filter-switching search for the in-focus focus actuator position is formulated such that filters are switched and step-sizes are reduced as the search gets closer to the in-focus position by utilizing local estimates of the first and second-order differential information of the focus value surface.

Abstract: An apparatus and method for automatically focusing a lens of a digital imaging device, such as a digital still or video camera or camera phone, that reduces the auto focus time while not compromising image sharpness quality and simultaneously reducing device power consumption due to focus actuator movement, all without tuning or adjustment of thresholds or parameters is disclosed. The present invention automatically computes a set of digital band-pass filters matched to the imaging device specifications along with corresponding step-size magnitudes. A filter-switching search for the in-focus focus actuator position is formulated such that filters are switched and step-sizes are reduced as the search gets closer to the in-focus position by utilizing local estimates of the first and second-order differential information of the focus value surface.

Abstract: Automatic white balancing and/or autoexposure as useful in a digital camera extracts color channel gains from comparisons of image colors with reference colors under various color temperature illuminants and/or extracts exposure settings from illuminance mean, illuminance variance, illuminance minimum, and illuminance maximum in areas of an image with a trained neural network.

Abstract: Automatic white balancing and/or autoexposure as useful in a digital camera extracts color channel gains from comparisons of image colors with reference colors under various color temperature illuminants and/or extracts exposure settings from illuminance mean, illuminance variance, illuminance minimum, and illuminance maximum in areas of an image with a trained neural network.

Abstract: Color filter array interpolation with directional derivatives using all eight nearest neighbor pixels. The interpolation method applies to Bayer pattern color CCDs and MOS detectors and is useful in digital still cameras and video cameras.

Abstract: Automatic white balancing and/or autoexposure as useful in a digital camera extracts color channel gains from comparisons of image colors with reference colors under various color temperature illuminants and/or extracts exposure settings from illuminance mean, illuminance variance, illuminance minimum, and illuminance maximum in areas of an image with a trained neural network.

Abstract: Automatic white balancing and/or autoexposure as useful in a digital camera extracts color channel gains from comparisons of image colors with reference colors under various color temperature illuminants and/or extracts exposure settings from illuminance mean, illuminance variance, illuminance minimum, and illuminance maximum in areas of an image with a trained neural network.