HUMAN-MACHINE INTERACTION COLLECTION METHOD, APPARATUS, AND SYSTEM FOR WEARABLE EXTENDED REALITY DEVICE

    公开(公告)号:US20250095292A1

    公开(公告)日:2025-03-20

    申请号:US18970972

    申请日:2024-12-06

    Abstract: Provided are a human-machine interaction collection method, apparatus, and system for a wearable extended reality device. Human body state information is obtained by analyzing human body perception data collected. A three-dimensional environment scene corresponding to environmental perception data collected is obtained by modeling the environmental perception data collected. The human body state information and the three-dimensional environment scene are displayed in an integrated manner using an extended reality device. The human body state information and the three-dimensional environment scene that are obtained are transmitted to a cloud center.

    MULTI-LIGHT SOURCE HEART RATE MEASUREMENT APPARATUS, METHOD AND WEARABLE DEVICE

    公开(公告)号:US20250049335A1

    公开(公告)日:2025-02-13

    申请号:US18931145

    申请日:2024-10-30

    Abstract: Disclosed is a multi-light source heart rate measurement apparatus. The measurement apparatus includes: a first optical receiving group, a second optical receiving group, a first light source and a second light source. Distances between the first light source and the first optical receiving group and the second optical receiving group respectively are both a preset resting and first dynamic heart rate measurement interval; the distance between the second light source and the first optical receiving group is a preset resting heart rate measurement interval, and the resting heart rate measurement interval is less than or equal to the resting and first dynamic heart rate measurement interval; the distance between the second light source and the second optical receiving group is a preset second dynamic heart rate measurement interval, and the second dynamic heart rate measurement interval is greater than the resting and first dynamic heart rate measurement interval.

    PHOTOELECTRIC PHYSIOLOGICAL SIGNAL ACQUIRING AND PROCESSING DEVICE

    公开(公告)号:US20240215874A1

    公开(公告)日:2024-07-04

    申请号:US18379908

    申请日:2023-10-13

    CPC classification number: A61B5/1455 A61B5/72

    Abstract: The present disclosure provides a photoelectric physiological signal acquiring and processing device including a light source, a photoelectric sensing device, an acquisition unit, an analog-to-digital device, and a microprocessing unit. The acquisition unit includes a current-to-voltage conversion module, a filtering device, and an amplification circuit. The photoelectric sensing device acquires a light transmitted through or reflected by the light source through the human physiological signal acquisition site, and converts it into a current signal. The current-to-voltage conversion module converts the current signal into a voltage signal, the filtering device and the amplification circuit process the voltage signal in sequence, the analog-to-digital device converts a processed voltage signal into a digital signal, and the physiological signal is obtained by the microprocessing unit.

    HUMAN-COMPUTER INTERACTION MOVEMENT TRACK DETECTION METHOD, APPARATUS, DEVICE, AND READABLE STORAGE MEDIUM

    公开(公告)号:US20240077954A1

    公开(公告)日:2024-03-07

    申请号:US18088894

    申请日:2022-12-27

    CPC classification number: G06F3/0304

    Abstract: Disclosed are a human-computer interaction movement track detection method, device, apparatus, and computer-readable storage medium. The method comprises: segmenting a movement path of a movement target to obtain one or more sub paths; monitoring and recording movement of the movement target in each of the sub paths to obtain a human-computer interaction movement track of the movement target in each of the sub paths; identifying the human-computer interaction movement track of the movement target in each of the sub paths with a determination model corresponding to each of the sub paths; and detecting a human-computer interaction movement track of the movement target based on identification of the human-computer interaction movement track in each of the sub paths.

    DETECTION CIRCUIT AND APPARATUS BASED ON EQUIPOTENTIAL SHIELDING

    公开(公告)号:US20240036091A1

    公开(公告)日:2024-02-01

    申请号:US18088931

    申请日:2022-12-27

    CPC classification number: G01R27/02 G01R1/30 G01L1/18

    Abstract: Disclosed are a detection circuit and apparatus based on equipotential shielding. A first connection end of a row control circuit, configured to be connected to a row lead of an array piezoresistive sensor; a control end of the row control circuit, connected to a main control chip for outputting a control signal; a second connection end of the row control circuit, connected to a first power supply terminal; and a row pull-up resistor, with an end connected to the row lead and another end connected to a second power supply terminal. Herein, each row lead corresponds to one row pull-up resistor; each column lead of the array piezoresistive sensor is connected to an input end of an inverse adder; an output end of the inverse adder is connected to a first connection end of the column control circuit.

    FINGER INTERACTION TRAJECTORY ACQUISITION METHOD AND SYSTEM, AND STORAGE MEDIUM

    公开(公告)号:US20250123743A1

    公开(公告)日:2025-04-17

    申请号:US19002784

    申请日:2024-12-27

    Abstract: A finger interaction trajectory acquisition method and system, and a storage medium are provided. The method includes: acquiring, in response to an individual hand interacting with a target object through a finger, motion posture information continuously collected by a three-dimensional motion capture system to obtain three-dimensional position coordinates of a to-be-measured joint or bone of the individual hand; sequentially determining whether a finger position at each timestamp is located on the target object in a predetermined coordinate system, and storing, in response to determining that a finger interaction occurs, the position coordinates of the distal phalanx as an interaction position point and storing the corresponding timestamp; and drawing a finger trajectory and a finger interaction trajectory.

    EYE MOVEMENT DATA VISUALIZATION METHOD, DEVICE, AND STORAGE MEDIUM BASED ON GAZE TRAJECTORY

    公开(公告)号:US20250069296A1

    公开(公告)日:2025-02-27

    申请号:US18939616

    申请日:2024-11-07

    Abstract: The present application provides a method, device, and storage medium for visualizing eye movement data based on gaze trajectories. The method obtains the gaze point position, gaze point sequence, and gaze point trajectory of a subject through collected eye movement data. Based on the angle of the line connecting two adjacent gaze points, the line connecting the two adjacent gaze points is mapped to a visualization graph, and the vertices of the corresponding line connecting individual angles in the visualization graph are connected to form a visualization graph of the frequency of eye movement scanning direction. The present application provides an eye gaze trajectory algorithm through visualization graphs of eye movement scanning direction frequency, which can intuitively and accurately reflect individual eye movement and gaze characteristics.

    BIOELECTRICAL SIGNAL ABNORMALITY MONITORING METHOD AND APPARATUS

    公开(公告)号:US20250049367A1

    公开(公告)日:2025-02-13

    申请号:US18932701

    申请日:2024-10-31

    Abstract: A bioelectrical signal abnormality monitoring method comprises: generating a noise signal having a preset constant frequency; superposing the noise signal onto a right leg drive electrode; using a front-end circuit to preprocess analog signals from a reference electrode and a collecting electrode, and outputting the analog signals to an analog-to-digital converter; using the analog-to-digital converter to convert into digital signals, and transmitting the digital signals to an operation analysis unit; the operation analysis, unit performing band-stop filtering on the digital signals, performing a subtraction operation on the digital signals before and after the band-stop filtering processing to obtain a difference value, storing the difference value in a queue, periodically solving for the RMS of the data in the queue, and based on the RMS and a fitting formula, calculating the impedance of the human body; and judging an electrode connection state according to the impedance of the human body.

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