Abstract: A system and a method for performing 2D on-screen user gaze estimation using an input facial image of a user captured using a camera associated to a processing device having a display. The method and system allow automated user calibration through automatic recording of calibration samples each including a calibration facial image of the user and an interaction point corresponding to a point on the display where an occurrence of a user interaction was detected when the corresponding calibration image was captured. The system and method also optimize user-specific parameters using the calibration samples by iteratively minimizing a total difference between the interaction points of a plurality of the calibration samples and corresponding 2D gaze estimation results and convert an estimated 3D gaze direction into a 2D gaze estimation result corresponding to a point on the display, by applying the users-specific parameters.

Abstract: The present disclosure provides an electronic device. The electronic device includes a display module having a grounding element disposed under the display module and an antenna pattern. The grounding element is configured to function as a reference ground of the antenna pattern. A wearable device is also provided.

Abstract: At least some embodiments of the present disclosure relate to a semiconductor device package. The semiconductor device package comprises a substrate, an antenna, and an active component. The antenna is disposed at least partially within the substrate. The active component is disposed on the substrate and electrically connected to the antenna. A location of the antenna is configured to be adjustable with respect to a location of the active component.

Abstract: At least some embodiments of the present disclosure relate to a wearable device. The wearable device comprises a substrate, a detecting module disposed on the substrate, and a control module disposed on the substrate. The control module is electrically connected to the detecting module. The control module is configured to receive a signal from the detecting module and to control the wearable device in response to the signal.

Abstract: A method of determining a support structure depth of a support structure having a front and a back separated by the support structure depth includes: obtaining a point cloud of the support structure, and a mask indicating, for a plurality of portions of an image of the support structure captured from a capture pose, respective confidence levels that the portions depict the back of the support structure; selecting, from the point cloud, an initial set of points located within a field of view originating at the capture pose; selecting, from the initial set of points, an unoccluded subset of depth measurements, the depth measurements in the unoccluded subset corresponding to respective image coordinates; retrieving, from the mask, a confidence level for each of the depth measurements in the unoccluded subset; and based on the depth measurements in the unoccluded subset and the retrieved confidence levels, determining the support structure depth.

Abstract: A wearable device and method for operating the same are provided. The wearable device includes an antenna element, a first matching circuit, a second matching circuit, and a switch element. The first matching circuit has a first impedance value. The second matching circuit has a second impedance value different from the first impedance value. The switch element is configured to determine whether the antenna element is electrically connected with the first matching circuit or the second matching circuit.

Abstract: The present disclosure provides an electronic device. The electronic device includes a display module having a grounding element disposed under the display module and an antenna pattern. The grounding element is configured to function as a reference ground of the antenna pattern. A wearable device is also provided.

Abstract: Systems, methods and computer-readable medium for predicting a depth for a video frame are disclosed. An example method may include steps of: receiving a plurality of training data, each comprising a set of consecutive video frames and a depth representation of a subsequent video frame to the consecutive video frames; receiving a pre-trained neural network model f? having a plurality of weights ?; while the pre-trained neural network model f? has not converged: computing a plurality of second weights ?i?, based on each set of consecutive video frames, and updating the plurality of weights ?, based on the plurality of training data and the plurality of second weights ?i?; receiving a plurality of new consecutive video frames with consecutive timestamps; and predicting a depth representation of video frame immediately subsequent to the new consecutive video frames based on the updated plurality of weights ?.

Abstract: Methods and systems for determining a surface color of a target surface under an environment with an environmental light source. A plurality of images of the target surface are captured as the target surface is illuminated with a variable intensity, constant color light source and a constant intensity, constant color environmental light source, wherein the intensity of the light source on the target surface is varied by a known amount between the capturing of the images. A color feature tensor, independent of the environmental light source, is extracted from the image data, and used to infer a surface color of the target surface.

Abstract: Methods and systems for image deblurring are described. The weights of a deblurring network are first trained by meta-training the deblurring network on both a primary deblurring task and an auxiliary reconstruction task. Application-time training of the deblurring network is then performed, using an application-time blurry input image, to obtain values of application-time trained weights. Application-time training includes performing the auxiliary reconstruction task on the application-time blurry input image, and updating the weights of the deblurring network based on an auxiliary loss computed from the auxiliary reconstruction task. A deblurred output image is generated from the application-time blurry input image, using the application-time trained weights in the deblurring network.

Abstract: The present disclosure provides a semiconductor structure including a first substrate having a first surface, a first semiconductor device package disposed on the first surface of the first substrate, and a second semiconductor device package disposed on the first surface of the first substrate. The first semiconductor device package and the second semiconductor device package have a first signal transmission path through the first substrate and a second signal transmission path insulated from the first substrate. The present disclosure also provides an electronic device.

Abstract: A wearable device and method for operating the same are provided. The wearable device includes an antenna element, a first matching circuit, a second matching circuit, and a switch element. The first matching circuit has a first impedance value. The second matching circuit has a second impedance value different from the first impedance value. The switch element is configured to determine whether the antenna element is electrically connected with the first matching circuit or the second matching circuit.

Abstract: A semiconductor device package and a method for manufacturing the same are provided. The semiconductor device package includes a circuit layer and an antenna module. The circuit layer has a first surface, a second surface opposite to the first surface and a lateral surface. The lateral surface extends between the first surface and the second surface. The circuit layer has an interconnection structure. The antenna module has an antenna pattern layer and is disposed on the first surface of the circuit layer. The lateral surface of the circuit layer is substantially coplanar with a lateral surface of the antenna module.

Abstract: A semiconductor device package includes a substrate, a reflector, a radiator and a first director. The reflector is disposed on a surface of the substrate. The radiator is disposed over the reflector. The first director is disposed over the radiator. The reflector, the radiator and the first director have different elevations with respect to the surface of the substrate. The radiator and the first director define an antenna.

Abstract: A method of detecting objects on a support structure includes: obtaining a point cloud of the support structure supporting an object; obtaining a position of a back of the support structure in the point cloud; discarding a portion of the point cloud based on the position of the back of the support structure; generating a three-dimensional occupancy grid from the point cloud, the occupancy grid having a plurality of cells each indicating whether the cell is one of occupied and unoccupied; identifying a contiguous region of occupied cells in the occupancy grid corresponding to the object; and generating a detected object position based on the contiguous region.

Abstract: A semiconductor device package includes a carrier, an electronic component and a connector. The electronic component is disposed on the carrier. The connector is disposed on the carrier and electrically connected to the electronic component. A S11 parameter of the connector is less than ?20 dB.

Abstract: A method of detecting objects on a support structure includes: obtaining a point cloud of the support structure supporting an object; obtaining a position of a back of the support structure in the point cloud; discarding a portion of the point cloud based on the position of the back of the support structure; generating a three-dimensional occupancy grid from the point cloud, the occupancy grid having a plurality of cells each indicating whether the cell is one of occupied and unoccupied; identifying a contiguous region of occupied cells in the occupancy grid corresponding to the object; and generating a detected object position based on the contiguous region.

Abstract: A semiconductor device package and a method for manufacturing the same are provided. The semiconductor device package includes a circuit layer and an antenna module. The circuit layer has a first surface, a second surface opposite to the first surface and a lateral surface. The lateral surface extends between the first surface and the second surface. The circuit layer has an interconnection structure. The antenna module has an antenna pattern layer and is disposed on the first surface of the circuit layer. The lateral surface of the circuit layer is substantially coplanar with a lateral surface of the antenna module.

Abstract: A semiconductor device package includes a substrate and an antenna module. The substrate has a first surface and a second surface opposite to the first surface. The antenna module is disposed on the first surface of the substrate with a gap. The antenna module has a support and an antenna layer. The support has a first surface facing away from the substrate and a second surface facing the substrate. The antenna layer is disposed on the first surface of the support. The antenna layer has a first antenna pattern and a first dielectric layer.

Abstract: A method of detecting product facings from captured depth and image data includes: obtaining, at an imaging controller, (i) depth measurements representing a support structure supporting a plurality of product facings, (ii) image data representing the support structure, and (iii) a set of region of interest (ROI) indicators each indicating a position of a plurality of the product facings; generating a first set of candidate facing edges from the depth measurements; generating a second set of candidate facing edges from the image data; generating a third set of candidate facing edges by combining the first and second sets; generating, for each adjacent pair of the third set of candidate facing edges, a candidate facing boundary; selecting a subset of output facing boundaries from the candidate facing boundaries, based on the ROI indicators; and storing the output facing boundaries in a memory coupled to the imaging controller.