Abstract: Systems and methods for providing timing information from a R-MACHPHY device to a video core while the R-MACPHY device receives video data from the video core while operating in asynchronous mode. In some embodiments, the R-MACPHY device may alternately and selectively configure its mode of operation to alternate between synchronous mode and asynchronous mode, and provide the timing information to the video core when it switches to asynchronous mode.

Abstract: Embodiments are disclosed for a continuous hand pose tracking system employing at least one wrist-worn antenna, from which real-time dielectric loading resulting from different hand poses). The sensor data is interpreted by a machine learning backend, which outputs a fully-posed three-dimensional (3D) hand that can be continuously tracked. In some embodiments, two degrees of freedom (2DOF) wrist angle and micro-gestures are tracked. The hand pose tracking system can be extended to include two or more and/or different types of antennas operating at different self-resonances. In an embodiment, a method comprises: determining, with at least one processor of a wrist-worn device, a complex impedance characteristic variation based on a dynamic finite electric ground plane of at least one antenna coupled to the device; and predicting, with the at least one processor, a hand pose of a user wearing the device on a their wrist based on the determined complex impedance characteristic variation.

Abstract: Systems and methods for providing timing information from a R-MACHPHY device to a video core while the R-MACPHY device receives video data from the video core while operating in asynchronous mode. In some embodiments, the R-MACPHY device may alternately and selectively configure its mode of operation to alternate between synchronous mode and asynchronous mode, and provide the timing information to the video core when it switches to asynchronous mode.

Abstract: Systems and methods for providing timing information from a R-MACHPHY device to a video core while the R-MACPHY device receives video data from the video core while operating in asynchronous mode. In some embodiments, the R-MACPHY device may alternately and selectively configure its mode of operation to alternate between synchronous mode and asynchronous mode, and provide the timing information to the video core when it switches to asynchronous mode.

Abstract: A method and apparatus that resolve near touch ambiguities in a touch screen includes detecting a touch screen touch event and detecting a vibro-acoustic event. These events generate signals received respectively by two different sensors and/or processes. When the two events occur within a pre-defined window of time, they may be considered to be part of the same touch event and may signify a true touch.

Abstract: Systems and methods for providing timing information from a R-MACHPHY device to a video core while the R-MACPHY device receives video data from the video core while operating in asynchronous mode. In some embodiments, the R-MACPHY device may alternately and selectively configure its mode of operation to alternate between synchronous mode and asynchronous mode, and provide the timing information to the video core when it switches to asynchronous mode.

Abstract: Systems and methods for providing timing information from a R-MACHPHY device to a video core while the R-MACPHY device receives video data from the video core while operating in asynchronous mode. In some embodiments, the R-MACPHY device may alternately and selectively configure its mode of operation to alternate between synchronous mode and asynchronous mode, and provide the timing information to the video core when it switches to asynchronous mode.

Abstract: A system for classifying touch events of different interaction layers includes a touch screen configured to display an interactive element, one or more vibro-acoustic sensors coupled to the touch screen, a touch event detector configured to monitor the one or more vibro-acoustic sensors and to save vibro-acoustic signals sensed by the one or more vibro acoustic sensors, wherein the touch event detector is further configured to detect touch events in which the interactive element is touched by a first or a second finger part of a user, and wherein the touch events result in generating the vibro-acoustic signals, and a vibro-acoustic classifier is configured to classify the vibro-acoustic signals and activate corresponding functions in the different layers dependent upon which finger part is used.

Abstract: Touch sensitive devices, methods and computer readable recording mediums are provided that allow for improved classification of objects against a touch sensitive surface of a touch sensitive device based upon analysis of subdivisions of data representing contact with the touch sensitive surface during a period of time.

Abstract: The disclosed subject matter is a palm rejection technique utilizing temporal features, iterative classification, and probabilistic voting. Touch events are classified based on features periodically extracted from time windows of increasing size, always centered at the birth of the event. The classification process uses a series of decision trees acting on said features.

Abstract: A method of classifying touch screen events uses known non-random patterns of touch events over short periods of time to increase the accuracy of analyzing such events. The method takes advantage of the fact that after one touch event, certain actions are more likely to follow than others. Thus if a touch event is classified as a knock, and then within 500 ms a new event in a similar location occurs, but the classification confidence is low (e.g., 60% nail, 40% knuckle), the classifier may add weight to the knuckle classification since this touch sequence is far more likely. Knowledge about the probabilities of follow-on touch events can be used to bias subsequent classification, adding weight to particular events.

Abstract: Some embodiments of the present invention include a method of differentiating touch screen users based on characterization of features derived from the touch event acoustics and mechanical impact and includes detecting a touch event on a touch sensitive surface, generating a vibro-acoustic waveform signal using at least one sensor detecting such touch event, converting the waveform signal into at least a domain signal, extracting distinguishing features from said domain signal, and classifying said features to associate the features of the domain signal with a particular user.

Abstract: Techniques enabling improved classification of objects against a touch sensitive surface of a touch sensitive device are presented. An object classification component can analyze touch screen data associated with a touch sensitive surface associated with a device and motion information relating to motion along at least one axis associated with the device. The object classification component can determine a contact classification for an object with respect to the touch sensitive surface, based on a result(s) of the analyzing, and in response to determining a contact state of the object with respect to the touch sensitive surface. An event determination component can control a function associated with the touch sensitive surface based on the contact classification for the object, the function comprising enabling or disabling a touch sensitive function of the touch sensitive surface of a display screen of the device or switching the display screen on or off.

Abstract: The disclosed subject matter is a palm rejection technique utilizing temporal features, iterative classification, and probabilistic voting. Touch events are classified based on features periodically extracted from time windows of increasing size, always centered at the birth of the event. The classification process uses a series of decision trees acting on said features.

Abstract: Techniques enabling improved classification of objects against a touch sensitive surface of a touch sensitive device are presented. An object classification component can analyze touch screen data associated with a touch sensitive surface associated with a device and motion information relating to motion along at least one axis associated with the device. The object classification component can determine a contact classification for an object with respect to the touch sensitive surface, based on a result(s) of the analyzing, and in response to determining a contact state of the object with respect to the touch sensitive surface. An event determination component can control a function associated with the touch sensitive surface based on the contact classification for the object, the function comprising enabling or disabling a touch sensitive function of the touch sensitive surface of a display screen of the device or switching the display screen on or off.

Abstract: Methods and apparatus of embodiments of the present invention include a classification system configured to treat edge contact of a touch screen as a separate class of touch events such that any touches occurring near the edge of the touch screen are to be processed by a classifier that is configured to process edge contacts as compared to a classifier that is configured to process other contacts that may occur in the approximate middle of the touch screen which may be wholly digitized. An apparatus may employ two separate and distinct classifiers, including a full touch classifier and an edge touch classifier. The touch screen may be configured to have two different sensing regions to determine which of the two classifiers is appropriate for a touch event.

Abstract: A system for classifying touch events of different interaction layers includes a touch screen configured to display an interactive element, one or more vibro-acoustic sensors coupled to the touch screen, a touch event detector configured to monitor the one or more vibro-acoustic sensors and to save vibro-acoustic signals sensed by the one or more vibro acoustic sensors, wherein the touch event detector is further configured to detect touch events in which the interactive element is touched by a first or a second finger part of a user, and wherein the touch events result in generating the vibro-acoustic signals, and a vibro-acoustic classifier is configured to classify the vibro-acoustic signals and activate corresponding functions in the different layers dependent upon which finger part is used.

Abstract: An apparatus that includes a conductive surface and an insulation surface disposed on the conductive surface. The apparatus further includes a controller configured to cause a signal to be coupled to the conductive surface such that a tactile sensation is perceived in a digit that slides on the insulation surface.

Abstract: One or more techniques and/or systems are provided for monitoring interactions by an input object with an interactive interface projected onto an interface object. That is, an input object (e.g., a finger) and an interface object (e.g., a wall, a hand, a notepad, etc.) may be identified and tracked in real-time using depth data (e.g., depth data extracted from images captured by a depth camera). An interactive interface (e.g., a calculator, an email program, a keyboard, etc.) may be projected onto the interface object, such that the input object may be used to interact with the interactive interface. For example, the input object may be tracked to determine whether the input object is touching or hovering above the interface object and/or a projected portion of the interactive interface. If the input object is in a touch state, then a corresponding event associated with the interactive interface may be invoked.

Abstract: Some embodiments of the present invention include a method of differentiating touch screen users based on characterization of features derived from the touch event acoustics and mechanical impact and includes detecting a touch event on a touch sensitive surface, generating a vibro-acoustic waveform signal using at least one sensor detecting such touch event, converting the waveform signal into at least a domain signal, extracting distinguishing features from said domain signal, and classifying said features to associate the features of the domain signal with a particular user.