Abstract: Collaborative sessions in which access to a collaborative object and added virtual content is selectively provided to participants/users. In one example of the collaborative session, a participant crops media content by use of a hand gesture to produce an image segment that can be associated to the collaborative object. The hand gesture resembles a pair of scissors and the camera and processor of the client device track a path of the hand gesture to identify an object within a displayed image to create virtual content of the identified object. The virtual content created by the hand gesture is then associated to the collaborative object.

Abstract: Embodiments of the present disclosure relate to a display apparatus. The display apparatus includes: a display; a user interface; and a controller, configured to perform: in response to a user input, synchronizing menu content data set under a current source to other sources, so that the other sources can obtain the same display effect as that under the current source. Unnecessary repeated setting is avoided, and convenience is brought to users in use.

Abstract: An example assembly includes a core module including a processor, a display, a touch user interface (UI) element extending around at least a portion of an outer periphery of the display, and a non-transitory computer-readable medium storing instructions; a housing configured to removably receive the core module; and a cover selectively positionable in a first position to expose the touch UI element and the display, and in a second position to cover at least a portion of the touch UI element and at least a portion of the display, wherein the instructions, when executed by the processor, cause the core module to: when the cover is positioned in the first position, operate the display and the touch UI element according to a first functionality UI mode and, when the cover is positioned in the second position, the display and the touch UI element according to a second functionality UI mode.

Abstract: A head-mounted display, unlocking method, and non-transitory computer readable storage medium thereof are provided. The head-mounted display generates a wearing position distribution based on a plurality of real-time images including a user wearing at least one wearable device on at least one finger position, wherein the wearing position distribution indicates a wearing position of the at least one wearable device wear worn by the user. The head-mounted display generates an unlocking signal to unlock the head-mounted display based on the wearing position distribution.

Abstract: A gesture-based device activation system is provided. The system may include a user computing device and a gesture application operable on the user computing device. The system may operate to allow the user computing device to capture gestures performed by a user, wherein the gestures are associated with user selected device functionality. The gestures performed by the user result in operation of the user computing device in accordance with the gestures and functions previously entered and stored by the user.

Abstract: Electrodes that can be formed in a flexible band of a wrist-worn device to detect hand gestures are disclosed. Multiple rows of electrodes can be configured to detect electromyography (EMG) signals produced by activity of muscles and tendons. The band can include removable electrical connections (e.g., pogo pins) to enable the electrode signals to be routed to processing circuitry in the housing of the wrist-worn device. Measurements between signals from the active electrodes and one or more reference electrodes can be obtained to capture EMG signals at a number of locations on the band. The measurement method and mode of operation (lower power coarse detection or higher power fine detection) can determine the location and number of electrodes to be measured. These EMG signals can be processed to identify hand movements and recognize gestures associated with those hand movements.

Abstract: An apparatus and/or method for providing an augmented reality service in an electronic device. The electronic device may include a memory configured to store first gesture information and second gesture information, a camera, a display, and a processor, wherein the processor may be configured to detect a gesture on the basis of image information obtained via the camera, identify the gesture on the basis that a detection location of the gesture is included in a first region different from a second region corresponding to a viewing angle of a user wearing the electronic device, from among the image information obtained via the camera, output a first visual effect related to the gesture via the display when the gesture corresponds to the first gesture information, and output guide information related to the gesture via the display when the gesture corresponds to the second gesture information. Other embodiments may also be possible.

Abstract: A first behaviometric user profile for a first user is generated and stored, by detecting a position and velocity of the first user relative to the mobile device based on a received response from a radar transmission while the first user uses the mobile device, the received response over time indicating a position and velocity of the first user. Based on further received responses of additional radar transmissions an additional behavioral pattern of an unknown user is determined. The additional behavioral pattern is then compared to the first behaviometric user profile, and based on the comparison, a measure of similarity between the first behaviometric user profile and the additional behavioral pattern, measuring if the first user and the unknown user are a same user is heuristically determined. As a result of the comparison, operation or access to at least some data stored on the mobile device is prevented.

Abstract: A patient communication system comprises a hand-held data input subsystem and a display subsystem. The data input subsystem may be configured to sense, and wirelessly convey, information associated with 3-D movement of the data input subsystem, and actuation of a signaling element within the data input subsystem. The display subsystem may receive the information and to present a visual representation of the information in a graphical user interface (GUI). The display subsystem may adaptively interpret the information with respect to range of motion sensitivity and orientation of the data input subsystem, and movement of the data input subsystem with respect to its prior state. The system may map the conveyed information to the GUI, generate and display images on the GUI with which a patient may interact by manipulating the data input subsystem, and capture one or more selections executed by the patient through actuation of the signaling element.

Abstract: Systems and methods are described in which a “one-of-N” selection may be produced based on one or more associations made by a human between a selected object from a group of “N” objects, and visual or acoustic cues produced by a handheld device. Objects may be comprised of real or virtual (i.e., displayed) objects in the environment of the handheld device user. Visual and/or acoustic cues may be generated by the handheld device under the control of the device user. Upon determining a perceived association between a cue and a selected object, the user may indicate a selection using one or more handheld device sensing elements such as a pushbutton, touch sensor, or inertial force measurement. Systems and methods may provide simple and intuitive methods to produce selected actions on the handheld device or on a connected device.

Abstract: A display panel and a display device are disclosed in the present application. The display panel includes a driving chip set, a pad set, and a cell test circuit, which can determine a binding state between each pin and a corresponding pad according to timing and states of binding detection signals output in correspondence with a first binding detection line and a second binding detection line, improving detection accuracy of the binding state; compared with relying on a microscope to check the binding state of each pin one by one, detection efficiency of the binding state is improved.

Abstract: An electronic keyboard comprises a plurality of keys and a housing comprising a cavity. The cavity accommodates a circuit board, a pressing layer and at least one pressure sensor arranged therein. Each pressure sensor is provided between a lower portion of the cavity and the circuit board, the pressing layer is moveably connected to each of the keys and the circuit board is provided between the pressing layer and the lower portion. Each pressure sensor is connected to the circuit board, and a force-receiving surface of each pressure sensor aligns with a projection area of the corresponding one of the keys.

Abstract: A driving method of a display panel and a display panel are provided. Time for displaying one frame includes N times of first node potential adjustment stages, a data writing stage, and at least one first bias stress stage; the data writing stage is after the first node potential adjustment stage and before the first bias stress stage; the N times first node potential adjustment stage include N reset stages and N first adjustment voltage writing stages; and an i-th first voltage writing stage is after an i-th reset stage. In the reset stage, the first reset module is turned on to write a reset signal to the first node; in the first adjustment voltage writing phase, the first reset module is turned off, and the compensation module is turned on to write a first adjustment voltage into the first node to adjust the bias state of the driving transistor.

Abstract: The present disclosure is directed to devices and methods for detecting dimming gestures using infrared detection. Infrared signals are detected using a thermal metal-oxide-semiconductor (TMOS) infrared (IR) sensor solution. The TMOS IR sensor is highly accurate and has low power consumptions compared to traditional IR sensors that utilize IR receivers.

Abstract: A method for end-to-end dynamic gesture recognition using mmWave radar is provided. The method includes triggering an electronic device to activate a gesture recognition mode in response to detecting that a condition for activating the gesture recognition mode is satisfied. The method includes obtaining radar data while the gesture recognition mode is activated, wherein the radar data includes time-velocity data (TVD). The method includes detecting a start and an end of a gesture based on the TVD of the obtained radar data. To classify the gesture, the method includes determining a gesture, from among a set of gesture, that corresponds to a portion of the TVD between the start and the end of the gesture. The method includes outputting an event indicator indicating that a user of the electronic device performed the gesture classified.

Abstract: Methods and apparatuses for controlling a user interface with a wearable device, such as a smart watch, are disclosed. In some embodiments, the method includes detecting, by an extend reality (XR) device, a wearable device, communicably connecting the XR device to the wearable device, and manipulating a user interface in a virtual environment displayed on a display in the XR device with the wearable device.

Abstract: The present application discloses a method, apparatus and apparatus device for performing brightness attenuation compensation of a display panel. The method includes: acquiring a first light-emitting count value corresponding to a first light-emitting block and count offset values corresponding to the light-emitting blocks; determining a brightness difference between each of the light-emitting blocks and the first light-emitting block based on the first light-emitting count value, the count offset values corresponding to the light-emitting blocks and a first correspondence; and performing brightness attenuation compensation of each of the light-emitting blocks based on the brightness difference between each of the light-emitting blocks and the first light-emitting block.

Abstract: Systems and methods are provided for predicting an eye gaze location of an operator of a computing device. In particular, the method generates an image grid that includes regions of interest based on a facial image. The facial image is based on a received image frame of a video stream that captures the operator using the computing device. The image grid further includes a region that indicate rotation information of the face. The method further uses a combination of trained neural networks to extract features of the regions of interest in the image grid and predict the eye gaze location on the screen of the computing device. The trained set of neural networks includes a convolutional neural network. The method optionally generate head pose pitch, roll, and yaw information to improve accuracy of predicting the location of an eye gaze.

Abstract: A wearable human-machine interface may include a support element to attach to a skin area of a human or animal body, a flexible layer, with magnetic properties, attached to the support element on the face facing the skin area so as to contact the surface of the skin area, the flexible layer having a flexibility configured to follow deformations of the surface of the skin area, and the magnetic properties of the flexible layer configured such that a deformation of the surface of the skin area leads to a measurable change in the magnetic properties, a detection unit to measure changes in the magnetic properties of the flexible layer, and a processing unit to carry out an algorithm that assigns the measured change in the magnetic properties to a configuration, movement and/or intensity thereof. A method is also disclosed which can be carried out using the human-machine interface.

Abstract: Methods and systems for gesture-based control of a device are described. A virtual gesture-space is determined in a received input frame. The virtual gesture-space is associated with a primary user from a ranked user list of users. The received input frame is processed in only the virtual gesture-space, to detect and track a hand. Using a hand bounding box generated by detecting and tracking the hand, gesture classification is performed to determine a gesture input associated with the hand. A command input associated with the determined gesture input is processed. The device may be a smart television, a smart phone, a tablet, etc.