Abstract: A fingerprint identification module includes a light guiding member, a flexible circuit board, two light emitting members, and a fingerprint identification chip. The light guiding member includes a bottom and a protruding edge. The protruding edge surrounds to form a first space. A first through-hole is formed on the bottom. The flexible circuit board is disposed in the first space and has a first portion, a second portion, a third portion, and a fourth portion connected in sequence. The first portion goes out of the light guiding member through the first through-hole. The third portion faces a direction opposite to the bottom. The second portion and the fourth portion face the bottom of the light guiding member. The light emitting members are disposed on the flexible circuit board and face the light guiding member. The fingerprint identification chip is disposed on the third portion of the flexible circuit board.

Abstract: A sensing device includes a first substrate, a first sensing element, a first light-shielding layer, a second light-shielding layer and an insulating layer. The first sensing element is disposed on the first substrate. The first light-shielding layer is disposed on the first sensing element and has a first opening, wherein the first opening is completely overlapped with the first sensing element. The second light-shielding layer is disposed on the first light-shielding layer and includes an upper light-shielding part and a lateral light-shielding part, wherein the upper light-shielding part is overlapped with the first light-shielding layer and has a second opening, and the lateral light-shielding part is separated from the upper light-shielding part. The insulating layer is disposed between the first light-shielding layer and the second light-shielding layer, and the lateral light-shielding part covers a sidewall of the insulating layer.

Abstract: In one aspect, an example method includes (i) receiving, by a computing system and from an input device associated with the computing system, a command to map a customized gesture with a particular action of a plurality of actions that a media player is configured to perform; (ii) in response to receiving the command, monitoring, by the computing system and using a camera, a viewing environment of the media player to detect performance by a person of the customized gesture; and (iii) in response to detecting performance of the customized gesture: generating, by the computing system, a classification for use by the computing system for detecting the customized gesture, and storing, by the computing system, in memory, mapping data that correlates the detected customized gesture with the particular action.

Abstract: Methods and systems for providing computer implemented services using user input are disclosed. To obtain the user input, a human interface device may be used. Interpretation of actuation of the human interface device may be customized to the types of actuations that users are able to perform. To customize the types of the actuations, users may perform actuations of the human interface device for various types of user input to establish associations between the actuations and the user input. The associations may be used to train an inference model usable to identify user input based on performed actions of the human interface device.

Abstract: One implementation involves a device receiving a stream of pixel events output by an event camera. The device derives an input image by accumulating pixel events for multiple event camera pixels. The device generates a gaze characteristic using the derived input image as input to a neural network trained to determine the gaze characteristic. The neural network is configured in multiple stages. The first stage of the neural network is configured to determine an initial gaze characteristic, e.g., an initial pupil center, using reduced resolution input(s). The second stage of the neural network is configured to determine adjustments to the initial gaze characteristic using location-focused input(s), e.g., using only a small input image centered around the initial pupil center. The determinations at each stage are thus efficiently made using relatively compact neural network configurations. The device tracks a gaze of the eye based on the gaze characteristic.

Abstract: A detection device includes a sensor area provided with a plurality of detection elements each comprising a photoelectric conversion element in a detection area, and a detector configured to detect a potential difference between a voltage generated in a first detection element and a voltage generated in a second detection element adjacent to the first detection element in the detection area.

Abstract: A person may attempt to gain access to a facility via transaction data, such as images of a hand of the person or other identifying information as acquired by an input device. Possible fraud may be detected by comparing the transaction data with previously stored exclusion data. The exclusion data may include known bad data or synthetic trained data for detecting possible fraud. If the biometric input matches or is similar to the exclusion data, possible fraud is detected and the person is prompted for additional data. The reply data acquired from the person is compared with the exclusion data to determine if possible fraud is still detected. If so, additional prompts are presented to the person until the reply data provides enough confidence of no fraud or until the transaction is terminated.

Abstract: A method for matching an image of a palm of an individual with at least one image from a plurality of reference palm images, which includes: creation of a reference base from the plurality of reference palm images comprising, for each reference palm image, a selection of at least one reference palm region and a coding into a reference regional biometric information item, determination of an individual palmary biometric information item from the image of the palm of the individual comprising a selection of at least one individual palm region and the coding thereof into individual regional biometric information item, for each image, comparison of each individual regional biometric information item with each reference regional biometric information item, and matching of the image of the palm of the individual with at least one image from the plurality of reference palm images, as a function of a result of the comparison.

Abstract: An array substrate, a manufacturing method thereof, and a display device are provided. The array substrate includes a substrate, a metal electrode layer, a first passivation layer, a first electrode layer, a photosensitive semiconductor layer, a second passivation layer, and a second electrode layer. The first electrode layer and the photosensitive semiconductor layer are both disposed on a surface of the first passivation layer away from the metal electrode layer.

Abstract: The fingerprint sensing circuit includes pixel sensors with photo sensors. Sensing currents produced by first pixel sensors are averaged. The average current is subtracted from sensing current produced by second pixel sensors to generate a difference current. During a capture period, a converting circuit outputs a digital signal in response to the difference current. This circuit aims to reduce noise in fingerprint recognition technology.

Abstract: A method, an apparatus, a device, and a storage medium for early warning of an unsafe behavior in drilling operation. The method includes obtaining eye movement data of a drilling operator in a sensitive area, obtaining a value of an eye movement parameter of the drilling operator about a drilling operation station according to the eye movement data, inputting the value of the eye movement parameter to an early warning model to obtain an operation type of the drilling operator in working on the drilling operation station, and transmitting an early warning message to a preset terminal when the operation type is a preset type. The method achieves a rapid and accurate identification of unsafe behaviors of drilling operators, thereby avoiding the occurrence of drilling accidents.

Abstract: An active matrix substrate includes a gate driver including a shift register including a plurality of unit circuits connected in multiple stages. Each of the plurality of unit circuits includes an output node, a first node, a first TFT including a first gate terminal supplied with the set signal, a first source terminal connected to the first node, and a first drain terminal supplied with a first power supply potential higher than a low-level potential of the set signal, and a second TFT including a second gate terminal connected to the first node, a second source terminal connected to the output node, and a second drain terminal supplied with the clock signal. The first TFT includes a semiconductor layer, and a first and a second gate electrodes disposed on a side of the semiconductor layer opposite to the substrate and connected to the first gate terminal.

Abstract: A tactile presentation device comprising: a contact face; a plurality of electrodes arranged along the contact face; a first control unit controlling operations of the electrodes for detecting contact or approach of an object toward the 5 contact face; a second control unit controlling operations of the electrodes for presenting a tactile sense to the contact face; and a third control unit causing a part of the plurality of the electrodes to be controlled by the first control unit, sequentially changing the electrode to be controlled by 10 the first control unit to another electrode among the plurality of the electrodes, and causing electrodes other than the electrode that is controlled by the first control unit to be controlled by the second control unit.

Abstract: A minutia features generation apparatus comprises: an input part to input an image formed as a curved stripe pattern by a ridge line(s); a generation part to generate a skeleton image formed by extracting a skeleton(s) from the image; an extraction part to extract a plurality of minutiae from the skeleton image; and a calculation part configured to calculate a relation minutia feature(s) representing relationship between a first minutia and a second minutia among the plurality of minutiae, wherein the calculation part calculates as one of the relation minutia features defined by a crossing count of the skeleton(s) and a straight line connecting from the second minutia to a nearest neighbor point which is a point on a trace line traced by tracing starting from the first minutia, which point is located at a shortest line distance from the second minutia.

Abstract: A fingerprint authentication device includes a biometric sensor configured to generate a sensing signal by sensing biometric information, an image processor configured to generate a fingerprint image based on the sensing signal, a singular point determiner circuit configured to select at least one fingerprint piece based on the fingerprint image or the sensing signal, and determine a singular point of the fingerprint image by analyzing the selected at least one fingerprint piece, and an authenticator circuit. The image processor is further configured to extract an interest region including the singular point from the fingerprint image based on a coordinate of the singular point, and the authenticator circuit is configured to perform fingerprint authentication by comparing the interest region with registered fingerprint information.

Abstract: An electronic device is provided. The electronic device includes a light source, a fingerprint sensor, a memory configured to record an image of a reflected light detected when the light source is turned on, and a processor configured to operatively coupled to the light source, the fingerprint sensor, and the memory, wherein the light source may form an irradiation area on a display surface by light irradiation to a display, the irradiation area may include a fingerprint recognition area formed on the display, at least one surface may match the fingerprint recognition area or at least one vertex coincides, and the matched area may form a first area. The memory may store instructions allowing the processor to irradiate light in a designated direction using the light source, obtain a first image and analyze the first image to distinguish whether the object detected by the fingerprint sensor is flat or three-dimensional.

Abstract: Embodiments of the present disclosure provide a fingerprint identification method, apparatus, and an electronic product. The method comprises: acquiring a touch signal of a finger to be identified on a display component; determining a touch zone; determining a fingerprint identification bright zone and a fingerprint identification dark zone on the display component based on the touch zone, wherein the fingerprint identification dark zone is close to and at least partially surrounds the fingerprint identification bright zone; and performing a fingerprint identification of the finger to be identified based on a bright zone fingerprint detection signal corresponding to the fingerprint identification bright zone and a dark zone fingerprint detection signal corresponding to the fingerprint identification dark zone.

Abstract: An electronic device includes a memory storing a plurality of fingerprint reference data files and one or more sensors identifying whether a mechanical support condition of the electronic device is a hand supported condition or a surface supported condition. A fingerprint sensor receives fingerprint data while the electronic device is in the mechanical support condition. One or more processors select a prioritized fingerprint data reference file from the plurality of fingerprint reference data files as a function of the mechanical support condition and authenticate an authorized user of the electronic device by comparing the fingerprint data to the prioritized fingerprint data reference file before comparing the fingerprint data to any other fingerprint reference data files of the plurality of fingerprint reference data files. The prioritized fingerprint reference data file can also be selected as a function of a geometric form factor of the electronic device.

Abstract: Calibration of eye tracking is improved by collecting additional calibration pairs when user is using apps with eye tracking. A user input component is presented on a display of an electronic device, detecting a dwelling action for user input component, and in response to detecting the dwelling action, obtaining a calibration pair comprising an uncalibrated gaze point and a screen location of the user input component, wherein the uncalibrated gaze point is determined based on an eye pose during the dwelling action. A screen gaze estimation is determine based on the uncalibrated gaze point, and in response to determining that the calibration pair is a valid calibration pair, training a calibration model using the calibration pair.

Abstract: An image processing method and apparatus, a storage medium, and a display device are provided in the present disclosure. The image processing method is used for image processing on the display device. The method includes the following. Target image data is received. Picture detection is performed on the target image data. Polarity adjustment is executed on a signal transmission line of the display device when the target image data satisfies a first grayscale-condition and/or a first area-condition. Exit polarity adjustment when the target image data satisfies a second grayscale-condition or a second area-condition, where a condition range in which the second grayscale-condition is satisfied is less than a condition range in which the first grayscale-condition is not satisfied, and a range in which the second area-condition is satisfied is less than a range in which the first area-condition is not satisfied. A non-transitory computer-readable storage medium and a display device are provided.