Abstract: A method for warning a wearer of a pacemaker against potential electromagnetic interference by a radar-aided mobile device is provided. The method includes obtaining sensor data from a sensor of an electronic device. The method includes detecting electromagnetic interference (EMI) risk based on the sensor data obtained. The method includes determining whether a condition for executing an EMI risk mitigation function is satisfied, based on the detected EMI risk. The method includes, in response to determining that the condition for executing the EMI risk mitigation function is satisfied, performing the EMI risk mitigation function. In some embodiments, performing the EMI risk mitigation function includes at least one of: adjusting a radio frequency (RF) transmit power; and outputting an alert that warns a user of the electronic device about a pacemaker in relation to the detected EMI risk.

Abstract: A method includes obtaining a stream of radar data into a sliding input data window composed of recent radar frames from the stream. Each radar frame within the data window includes features selected from a predefined feature set and at least one of time-velocity data or time angle data. The method includes, for each radar frame within the data window, receiving a binary prediction indicating whether the radar frame includes a gesture end. The method includes in response to the binary prediction indicating that the radar frame includes the gesture end, triggering an early stop (ES) checker to determine whether an ES condition is satisfied. Determining whether the ES condition is satisfied comprises determining whether a noise frames condition and a valid activity condition are satisfied. The method includes in response to a determination that the ES condition is satisfied, triggering a gesture classifier to predict a gesture type.

Abstract: A method includes obtaining a target distance and target velocity for each radar frame within a sliding input data window. Each radar frame within the data window includes extracted features. The method includes determining a dynamic threshold distance (dth) for a range of distances wherein performance of a gesture is valid. The method includes determining whether the target distance corresponding to a current radar frame satisfies a proximity condition based on the dth. The method includes in response to a determination the proximity condition is not satisfied, detecting a start of activity based on the extracted features. The method includes segmenting gesture frames from non-gesture frames in the data window, in response to at least one of: a determination the first proximity condition is satisfied, or a determination the current radar frame includes an end of the activity. The method includes discarding the non-gesture frames to modify the data window.

Abstract: An apparatus for three dimensional (3D) art viewing includes one or more sensors and a processor operably coupled to the one or more sensors. The processor is configured to detect, using the one or more sensors, a position of a user. The processor is additionally configured to output, for display, an aspect of an image based on the position of the user. The processor is also configured to obtain, using the one or more sensors, movement data associated with a movement of the user. The processor is further configured to apply temporal smoothing to smooth the movement data. In addition, the processor is configured to map the smoothed movement data to a series of view indices. The processor is also configured to change the aspect of the image for display based on the mapped series of view indices.

Abstract: An electronic device for object rigging includes a processor. The processor is configured to obtain a 3D scan of an object. The processor is also configured to match a rigged parametric model to the 3D scan by minimizing a surface distance and 3D joint errors between the rigged parametric model and the 3D scan. The processor is further configured to identify a correspondence between the rigged parametric model and the 3D scan. Additionally, the processor is configured to transfer attributes of the rigged parametric model to the 3D scan based on the correspondence to generate a rigged 3D scan. The processor is also configured to apply animation motion to the rigged 3D scan. The rigged 3D scan with the applied animation motion is rendered on a display.

Abstract: An electronic device for object rigging includes a processor. The processor is configured to obtain a three-dimensional (3D) scan of an object. The processor is also configured to identify 3D coordinates associated with joints of the 3D scan. The processor is further configured to identify parameters associated with fitting a 3D parametric body model to the 3D scan based on the 3D coordinates of the joints. Additionally, the processor is configured to modify the parameters to reduce 3D joint errors between the 3D coordinates associated with the joints on the 3D scan and the 3D parametric body model. The processor is also configured to generate a rigged 3D scan based on the modified parameters, for performing an animated motion.

Abstract: An electronic device for object rigging includes a processor. The processor is configured to obtain a 3D scan of an object. The processor is also configured to match a rigged parametric model to the 3D scan by minimizing a surface distance and 3D joint errors between the rigged parametric model and the 3D scan. The processor is further configured to identify a correspondence between the rigged parametric model and the 3D scan. Additionally, the processor is configured to transfer attributes of the rigged parametric model to the 3D scan based on the correspondence to generate a rigged 3D scan. The processor is also configured to apply animation motion to the rigged 3D scan. The rigged 3D scan with the applied animation motion is rendered on a display.