Abstract: A display apparatus includes: (i) a glasses-type frame that is mounted on the head of an observer; and (ii) an image display device that is attached to the frame, wherein the image display device includes (A) an image forming device, and (B) an optical device on which light emitted from the image forming device is incident, in which the light is guided, and from which the light is emitted, a light control device that adjusts an amount of external light incident from the outside is provided in a region of the optical device from which light is emitted, and the light control device includes two opposite transparent substrates, electrodes that are provided on the substrates, and an electrophoretic dispersion liquid that is sealed between the two substrates.

Abstract: A display device includes a substrate, a gate line and a data line. The substrate includes a first side edge and a second side edge, a curvature of the first side edge is greater than a curvature of the second side edge, and the curvature of the second side edge is not equal to zero. The gate line and the data line are disposed on the substrate, and a curvature of the gate line is different from a curvature of the data line.

Abstract: The present disclosure provides a display device and an electronic device. The display device includes a substrate, a first pixel circuitry, a first light emitting unit, a fingerprint sensor circuitry, and a fingerprint sensor unit. The first pixel circuitry and the first light emitting unit are disposed on the substrate, and the first light emitting unit is driven by the first pixel circuitry. The fingerprint sensor circuitry and the fingerprint sensor unit are disposed on the substrate, and the fingerprint sensor unit is driven by the fingerprint sensor circuitry. The first pixel circuitry and the fingerprint sensor circuitry are disposed on different planes.

Abstract: This application discloses a display device driving method and a display device. The driving method includes steps of: synchronously starting a backlight circuit, a timing control circuit and a power circuit; outputting a first signal after the timing control circuit is initialized; outputting a second signal after the power circuit is started; and controlling a gate driver to output a drive signal according to the first signal and the second signal.

Abstract: A method and system for creating hypercomplex representations of data includes, in one exemplary embodiment, at least one set of training data with associated labels or desired response values, transforming the data and labels into hypercomplex values, methods for defining hypercomplex graphs of functions, training algorithms to minimize the cost of an error function over the parameters in the graph, and methods for reading hierarchical data representations from the resulting graph. Another exemplary embodiment learns hierarchical representations from unlabeled data. The method and system, in another exemplary embodiment, may be employed for biometric identity verification by combining multimodal data collected using many sensors, including, data, for example, such as anatomical characteristics, behavioral characteristics, demographic indicators, artificial characteristics.

Abstract: The present application discloses a display panel and a display device. In each set of transmission signal lines, the line width of a transmission signal line correspondingly connected to a clock signal line close to the display area is smaller than that of a transmission signal line correspondingly connected to a clock signal line away from the display area.

Abstract: The invention provides a display equipment, an operation method thereof, and a backlight control device. The display equipment includes a display panel, a backlight module, an image processing circuit, a panel control circuit, a first backlight control circuit, and a second backlight control circuit. The image processing circuit provides a VRR video frame to the panel control circuit. The first backlight control circuit generates a main dimming signal to the backlight module during a valid data period of the VRR video frame according to a first timing information of the image processing circuit. The second backlight control circuit generates a compensation dimming signal to the backlight module during a blank period of the VRR video frame according to a second timing information of the image processing circuit. In particular, a peak current value of the compensation dimming signal is less than a peak current value of the main dimming signal.

Abstract: A pixel circuit driving method is a method for driving a pixel circuit that includes a drive transistor that supplies a current corresponding to a signal voltage supplied via a signal line, a write transistor connected between the signal line and a gate electrode of the drive transistor, and an organic EL element that emits light in accordance with the current. The pixel circuit driving method includes supplying a reference potential to the gate electrode of the drive transistor before a threshold correction preparation operation of making a gate-source voltage of the drive transistor higher than a threshold voltage of the drive transistor.

Abstract: A system translates a first biometric template of a first type to enable comparison with a second biometric template of a second type. In one example, a canonical template structure to which the first and second biometric templates adhere may be identified and used to compare corresponding portions of the first and second biometric templates. In another example, types and associated formats of the first and second biometric templates may be identified to enable both to be translated to a general format that can then be compared. In still other examples, an identification system may use the first biometric template to determine an identity associated with first biometric data to either retrieve second stored biometric data associated with the identity of a same type as the second biometric template or verify that an account in an external system having a record storing the second biometric template is associated with the identity.

Abstract: The present application discloses a cross voltage compensation method for a display panel, a display panel and a display device. The cross voltage compensation method includes steps of transmitting a preset voltage signal to in-plane data lines after scan of scanning lines of a last row of a current frame is completed and before scanning lines of a first row of a next frame are started, keeping all the scanning lines at a close state while transmitting the preset voltage signal to in-plane data lines, and keeping all the scanning lines at a close state after scan of scanning lines of a last row of a current frame is completed and before scanning lines of a first row of a next frame are started, that is, V-blank time.

Abstract: A method and an apparatus for sharing data includes an electronic device and a storage medium. The method includes displaying a data sharing interface. The data sharing interface includes triggering areas respectively corresponding to data sources and association areas respectively corresponding to associated devices. The method further includes in response to a pairing operation of a user between a triggering area and an association area, acquiring data from a target data source corresponding to the triggering area, and transmitting the acquired data to a target associated device corresponding to the association area such that the target associated device outputs the received data. An electronic device and a storage medium are also disclosed.

Abstract: An electronic circuit adapted to drive a display panel including touch sensors and fingerprint sensors is provided. The electronic circuit includes a first circuit, a second circuit, a first switch circuit and a control circuit. The first circuit generates display driving signals for driving the display panel. The second circuit receives fingerprint sensing signals from the fingerprint sensors. The first switch circuit is coupled to a second switch circuit on the display panel. The control circuit generates control signals for controlling the first switch circuit and the second switch circuit, so as to control the electronic circuit to transmit the display driving signals from the first circuit to the data lines through the first and the second switch circuits in a first time interval, and control the electronic circuit to receive the fingerprint sensing signals from the fingerprint sensors through the first and the second switch circuits in a second time interval.

Abstract: A fingerprint recognition device including: a sensing panel including a plurality of sensing blocks, wherein each of the sensing blocks includes a plurality of sensors; a scan driving unit configured to provide a scan signal to the sensors; and a timing controller configured to provide a second initiation signal to the scan driving unit, wherein each of the sensors includes a reference capacitor and a sensing capacitor, the scan driving unit includes scan drivers that correspond to rows of the sensing blocks, in a fingerprint recognition mode, the timing controller provides the second initiation signal to a scan driver corresponding to a sensing block where a touch input is generated, and in a touch mode, the timing controller sequentially provides the second initiation signal to the scan drivers.

Abstract: Systems and methods for predicting road conditions and traffic volume is provided. The method includes generating a graph of one or more road regions including a plurality of road intersections and a plurality of road segments, wherein the road intersections are represented as nodes and the road segments are represented as edges. The method can also include embedding the nodes from the graph into a node space, translating the edges of the graph into nodes of a line graph, and embedding the nodes of the line graph into the node space. The method can also include aligning the nodes from the line graph with the nodes from the graph, and optimizing the alignment, outputting a set of node and edge representations that predicts the traffic flow for each of the road segments and road intersections based on the optimized alignment of the nodes.

Abstract: In some embodiments, the present disclosure provides an exemplary technically improved system and method for controlling the body movements and facial expressions of a digital character in real time by using: a body-motion capture system comprising a headset configured to be worn on a head of a user and comprising controllers and sensors that can be used to track at least one head or body motion of the user (including arms and hands); and correspondingly control at least one head or body motion (including arms and hands) of a digital character in real time based, at least in part, on the captured motion data; a mobile computing device configured to track and capture facial expression data relating to at least one facial expression of the user, and use at least that data to correspondingly control at least one facial expression of the digital character in real time; a microphone configured to capture an audio output of the user, and control an audio output of the digital character in real-time based, at least

Abstract: Disclosed is an electronic device including a processor configured to set a wake-up luminance of a display, based on a wake-up illuminance, to set, upon detecting an illuminance change through the illuminance sensor, a first target luminance of the display by using a first threshold illuminance value at a time point of detecting the illuminance change, to identify whether a flag setting related to an update of a threshold illuminance value is changed, while changing a luminance of the display based on the first target luminance, to determine the first target luminance as a final luminance of the display when there is no change in the flag setting, to update the first threshold illuminance value to a second threshold illuminance value when there is a change in the flag setting, and to change a target luminance of the display from the first target luminance to a second target luminance by using the second threshold illuminance value.

Abstract: According to an embodiment, an electronic device comprises at least one processor and a memory, wherein the memory stores instructions that, when executed, cause the at least one processor to control the electronic device to: obtain data to be classified, obtain a feature vector from the data by performing convolution on the data and a plurality of filters using a classification model stored in the memory, identify outputs corresponding to subfeatures using a split layer including the subfeatures resulting from splitting the feature vector, and output a class corresponding to the data based on the outputs.

Abstract: An embodiment relates to an LED driving technique. The embodiment provides a technique of measuring a forward voltage reaching time of a currently driven LED by comparing a forward voltage sensed in a previous scan line and an LED voltage sensed in a current scan line, and compensating an ON period of a pulse width modulation (PWM) signal by the measured forward voltage reaching time.

Abstract: Systems and methods for designing a hybrid neural network comprising at least one physical neural network component and at least one digital neural network component. A loss function is defined within a design space composed of a plurality of voxels, the design space encompassing one or more physical structures of the at least one physical neural network component and one or more architectural features of the digital neural network. Values are determined for at least one functional parameter for the one or more physical structures, and the at least one architectural parameter for the one or more architectural features, using a domain solver to solve Maxwell's equations so that a loss determined according to the loss function is within a threshold loss. Final structures are defined for the at least one physical neural network component and the digital neural network component based on the values.

Abstract: A method and an apparatus for processing layers in a neural network fetch Input Feature Map (IFM) tiles of an IFM tensor and kernel tiles of a kernel tensor, perform a convolutional operation on the IFM tiles and the kernel tiles by exploiting IFM sparsity and kernel sparsity, and generate a plurality of OFM tiles corresponding to the IFM tiles.