Abstract: A locking structure for an opening and closing body includes an opening and closing body that is supported to be movable between an open position where an opening formed in a device main body is opened and a closed position where the opening is closed and a push latch device that is disposed in the device main body, locks the opening and closing body at the closed position as an engaging body, which is provided on the opening and closing body to protrude in a pushing direction, pushes in a latch body, and releases locking of the opening and closing body to push out the opening and closing body in an opposite direction to the pushing direction in a case where the engaging body is further pushed in at the closed position. Even in a case where the opening and closing body is pushed at the closed position in the pushing direction, the opening and closing body does not move, and the push latch device is held in a locked state.

Abstract: Apparatuses, methods, and articles of manufacture are disclosed. An example apparatus includes processor circuitry to assign a location value hyperdimensional vector (HDV) to a location in an image of a first patch of one or more pixels, assign at least a first channel HDV to the first patch, determine at least one pixel intensity value HDV for each of the one or more pixels in the first patch, bind together each of the pixel intensity value HDVs into at least one patch intensity value HDV, bind together the at least first channel HDV and the at least one patch intensity value HDV to produce a patch consensus intensity HDV, and generate a first hyperdimensional representation patch value HDV of the first patch by binding together at least a combination of the patch consensus intensity HDV and the location value HDV.

Abstract: Provided herein is a circuit for ageing display panel, including an ageing signal input circuit, a power input circuit and a power output circuit, in which the ageing signal input circuit and the power input circuit are independently connected to the power output circuit, and the power output circuit is connected to a load; the ageing signal input circuit is configured to receive an ageing signal and output the ageing signal to the power output circuit; the power input circuit is configured to provide a supply voltage for the power output circuit; and the power output circuit is configured to output the received supply voltage to the load.

Abstract: Systems, apparatus, and methods for a gesture-based augmented reality and/or extended reality (AR/XR) user interface. Conventional image processing scales quadratically based on image resolution. Processing complexity directly corresponds to memory size, power consumption, and heat dissipation. As a result, existing smart glasses solutions have short run-times (<1 hr) and may have battery weight and heat dissipation issues that are uncomfortable for continuous wear. The disclosed solution provides a system and method for low-power image processing via the use of scalable processing. In one specific implementation, gesture detection is divided into multiple stages. Each stage conditionally enables subsequent stages for more complex processing. By scaling processing complexity at each stage, high complexity processing can be performed on an “as-needed” basis.

Abstract: A proximity sensor, including light emitters and light detectors mounted on a circuit board, two stacked lenses, positioned above the emitters and the detectors, including an extruded cylindrical lens and a Fresnel lens array, wherein each emitter projects light through the two lenses along a common projection plane, wherein a reflective object located in the projection plane reflects light from one or more emitters to one or more detectors, and wherein each emitter-detector pair, when synchronously activated, generates a greatest detection signal at the activated detector when the reflective object is located at a specific 2D location in the projection plane corresponding to the emitter-detector pair, and a processor sequentially activating the emitters and synchronously co-activating one or more detectors, and identifying a location of the object in the projection plane, based on amounts of light detected by the detector of each synchronously activated emitter-detector pair.

Abstract: An information display system according to the present disclosure includes: display device provided in a mask, the display device being configured to display a screen viewed by a person wearing the mask; and display control unit for switching a displaying mode of the screen.

Abstract: A method for 3D gesture interaction across electronic devices includes: measuring spatial location information of the electronic devices based on Location Technology; generating a 3D gesture field of the electronic devices based on the spatial location information; setting the location update method, the detection method of 3D gesture, the frequency band of detecting 3D gesture, and the time sequence of detecting gesture at different devices; detecting the cooperative gesture; generating interactive auxiliary messages based on the detection of the cooperative gesture; updating the 3D gesture field if the location of any devices have update; identifying the cooperative gesture in the 3D gesture field of the electronic devices; performing the commands corresponding to the cooperative gesture; detecting that the cooperative gesture is beyond the 3D gesture field of the electronic devices; and sending the cooperative gesture to other electronic devices based on the direction of the cooperative gesture.

Abstract: An electronic device includes a cover plate assembly, a frameless display panel assembly, and an adhesive layer. The cover plate assembly has a first major surface. A peripheral region of the first major surface has a first area. The frameless display panel assembly is disposed below the cover plate assembly and has a second major surface. A peripheral region of the second major surface has a second area smaller than the first area. The adhesive layer is disposed between the peripheral region of the first major surface and the peripheral region of the second major surface. The adhesive layer is a frame-shaped and elastic colloid. The adhesive layer, the cover plate assembly, and the frameless display panel assembly together form a closed space after being pressed together, and the closed space has a spacing smaller than 200 microns.

Abstract: Techniques are described for using computing devices to perform automated operations for determining matching buildings and using corresponding information in further automated manners, such as by determining buildings having similarities to other indicated buildings based at least in part on building floor plans and/or other attributes, and by automatically generating descriptions of the similarities. In some situations, such matching building determinations are based on generating and using adjacency graphs for floor plans that represent inter-connections between rooms and other attributes of the buildings, and further generating and comparing vector-based embeddings that concisely represent the information of the adjacency graphs for use in performing inter-building comparisons and generating the descriptions. Information about such determined buildings may be used in various automated manners, including for controlling device navigation (e.g.

Abstract: Systems, methods, and non-transitory computer readable media including instructions for selectively operating a wearable extended reality appliance are disclosed. Selectively operating the wearable extended reality appliance includes establishing a link between a wearable extended reality appliance and a keyboard device; receiving sensor data from at least one sensor associated with the wearable extended reality appliance, the sensor data being reflective of a relative orientation of the wearable extended reality appliance with respect to the keyboard device; based on the relative orientation, selecting from a plurality of operation modes a specific operation mode for the wearable extended reality appliance; identifying a user command based on at least one signal detected by the wearable extended reality appliance; and executing an action responding to the identified user command in a manner consistent with the selected operation mode.

Abstract: A sensing circuit includes initialization switches, shield switches, signal selection switches and a signal current integrator. The initialization switches apply an initialization voltage to sensing channels based on an initialization control signal. The shield switches apply a shield voltage different from the initialization voltage to the sensing channels based on shield control signals. The signal selection switches sequentially output sensing currents received from the sensing channels based on sensing control signals. The signal current integrator sequentially converts the sensing currents into sensing voltages. When a target sensing current is to be detected from a target sensing channel from the sensing channels, the shield voltage is applied to at least one shield sensing channel adjacent to the target sensing channel from the sensing channels.

Abstract: Aspects of the present invention relate to providing see-through computer display optics.

Abstract: A method for recognizing a human hand comprises: recognizing a human body target by using a plurality of frames of detection information acquired by a millimeter wave radar within a preset time period; determining whether a new detection target satisfying setting conditions exists within a preset range centering on the human body target, according to a current frame of detection information, the setting conditions including: having a radial velocity; if so, determining the new detection target satisfying the setting conditions as a hand corresponding to the human body target; and if not, determining that the hand corresponding to the human body target does not exist in the current frame.

Abstract: The electronic device according to an embodiment includes: an input device; and a mobile device configured to communicate with the input device, wherein the mobile device determines a position of the mobile device or a position of a first external device as reference coordinates, receives relative position information of the input device, with respect to the reference coordinates, and motion information of the input device, determines a movement trajectory based on the relative position information and the motion information, and displays the movement trajectory or transmits the movement trajectory to a second external device.

Abstract: The present disclosure relates to an information processing apparatus, an information processing method, and a program capable of, when accepting hand-based operation inputs from a plurality of users, performing appropriate pairing of left and right hands for each user. An image of an operation surface from above is acquired, the operation surface being configured to accept a hand-based operation input from users, left and right hands of the users and arms corresponding to the respective hands are detected from the image, a base position of one of the arms is set as a benchmark position, a base position of the arm that is closest adjacent along a periphery of the operation surface is set as a reference position when the one of the arms is a left hand, and pairing of the hand of the arm at the benchmark position and the hand of the arm at the reference position is performed. The present disclosure can be applied to an information processing system.

Abstract: A wearable device and its control method, a gesture recognition method, a movable platform control system and a storage medium are provided. The control method may include acquiring key point information of a gesture action of a target user, recognizing an input instruction based upon the key point information, and generating a control instruction based upon the input instruction and executing a task operation according to the control instruction.

Abstract: A system and associated methods/processes includes a sensor operable to capture sensor data indicative of a gesture; and a processor in communication with a memory and the sensor. The processor is configured to execute instructions stored in the memory, which, when executed, cause the processor to access the sensor data and decompose the gesture into a canonical gesture form defining a string of gesture components arranged in a spatio-temporal order.

Abstract: A human machine interface for an industrial automation control system includes at least one touchless input device that is adapted to be in a first state in which said human machine interface provides a first input to said industrial automation control system or a second state in which said human machine interface provides a second input to said industrial automation control system. The at least one touchless input device includes first and second touchless input sensors each configured to detect hand gestures of an operator's hand to provide input to said human machine interface based upon said gestures. The first and second touchless input sensors can be identical with respect to each other or different. In one example, one or both of the sensors are both time-of-flight sensors and one of the sensors can be an electric field proximity sensor. A method of providing a human machine interface with at least one touchless input device is provided.

Abstract: A method for evaluating gesture input comprises receiving input data for sequential data frames, including hand tracking data for hands of a user. A first neural network is trained to recognize features indicative of subsequent gesture interactions and configured to evaluate input data for a sequence of data frames and to output an indication of a likelihood of the user performing gesture interactions during a predetermined window of data frames. A second neural network is trained to recognize features indicative of whether the user is currently performing one or more gesture interactions and configured to adjust parameters for gesture interaction recognition during the predetermined window based on the indicated likelihood. The second neural network evaluates the predetermined window for performed gesture interactions based on the adjusted parameters, and outputs a signal as to whether the user is performing one or more gesture interactions during the predetermined window.

Abstract: An information processing apparatus includes a processor configured to receive biopotential information of each of a plurality of users, and transmit, to a device, operation information indicating operation content determined by comparing the operation contents of the device, the operation contents being recognized from the biopotential information of the plurality of users.