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    In-vehicle mid-air gesture-based interaction method, electronic apparatus, and system
    2.
    发明授权
    In-vehicle mid-air gesture-based interaction method, electronic apparatus, and system 有权

    公开(公告)号：US12164697B2

    公开(公告)日：2024-12-10

    申请号：US18147608

    申请日：2022-12-28

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Qiuyuan Tang ,  Shuaihua Peng ,  Hao Li

    IPC: G06F3/01 ,  G06V40/20

    Abstract: This disclosure provides an in-vehicle mid-air gesture-based interaction method, an electronic apparatus, and a system, and relates to the field of intelligent vehicle technologies. The method includes: obtaining a first mid-air gesture detected by a camera; and starting, when a preset response operation corresponding to the first mid-air gesture matches a first user who initiates the first mid-air gesture, the preset response operation corresponding to the first mid-air gesture in response to the first mid-air gesture. The method can be used in an in-vehicle mid-air gesture-based interaction scenario, reduce a mid-air gesture operation rate, and improve driving safety and interaction experience.

    VEHICLE SUMMONING METHOD, INTELLIGENT VEHICLE, AND DEVICE
    4.
    发明公开
    VEHICLE SUMMONING METHOD, INTELLIGENT VEHICLE, AND DEVICE 审中-公开

    公开(公告)号：US20230331259A1

    公开(公告)日：2023-10-19

    申请号：US18341514

    申请日：2023-06-26

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Hao Wu ,  Qiuyuan Tang ,  Shuaihua Peng

    IPC: B60W60/00

    CPC classification number: B60W60/0025 ,  B60W60/00272

    Abstract: A vehicle summoning method may be applied to an intelligent vehicle. The vehicle summoning method includes obtaining, when a vehicle is in a parking state, identifier information of a person in a first range around the vehicle, and determining, when the identifier information of the person in the first range meets a preset condition, that the person who meets the preset condition is a target person. The method further includes obtaining a body movement of the target person and, when a first distance is less than a first threshold, controlling, based on the body movement, the vehicle to travel to a first location. The first distance is used to indicate a distance between the target person and the vehicle. According to the vehicle summoning method, a user can summon a vehicle by using a body movement, which improves user experience of the vehicle.

    IN-VEHICLE MID-AIR GESTURE?BASED INTERACTION METHOD, ELECTRONIC APPARATUS, AND SYSTEM
    5.
    发明公开
    IN-VEHICLE MID-AIR GESTURE?BASED INTERACTION METHOD, ELECTRONIC APPARATUS, AND SYSTEM 审中-公开

    公开(公告)号：US20230244320A1

    公开(公告)日：2023-08-03

    申请号：US18147608

    申请日：2022-12-28

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Qiuyuan Tang ,  Shuaihua Peng ,  Hao Li

    IPC: G06F3/01 ,  G06V40/20

    CPC classification number: G06F3/017 ,  G06V40/28

    Abstract: This disclosure provides an in-vehicle mid-air gesture-based interaction method, an electronic apparatus, and a system, and relates to the field of intelligent vehicle technologies. The method includes: obtaining a first mid-air gesture detected by a camera; and starting, when a preset response operation corresponding to the first mid-air gesture matches a first user who initiates the first mid-air gesture, the preset response operation corresponding to the first mid-air gesture in response to the first mid-air gesture. The method can be used in an in-vehicle mid-air gesture-based interaction scenario, reduce a mid-air gesture operation rate, and improve driving safety and interaction experience.

    Prediction method, terminal, and server
    7.
    发明授权
    Prediction method, terminal, and server 有权

    公开(公告)号：US11580457B2

    公开(公告)日：2023-02-14

    申请号：US16863110

    申请日：2020-04-30

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Fei Chen ,  Zhenhua Dong ,  Zhenguo Li ,  Xiuqiang He ,  Li Qian ,  Shuaihua Peng

    IPC: G06N5/02 ,  G06N20/00

    Abstract: Example prediction methods and apparatus are described. One example includes sending a first model parameter and a second model parameter by a server to a plurality of terminals. The first model parameter and the second model parameter are adapted to a prediction model of the terminal. The server receives a first prediction loss sent by at least one of the plurality of terminals. A first prediction loss sent by each of the at least one terminal is calculated by the terminal based on the prediction model that uses the first model parameter and the second model parameter. The server updates the first model parameter based on the first prediction loss sent by the at least one terminal to obtain an updated first model parameter. The server updates the second model parameter based on the first prediction loss sent by the at least one terminal to obtain an updated second model parameter.

    Image recognition via brain-computer collabration with variable image presentation times
    9.
    发明授权
    Image recognition via brain-computer collabration with variable image presentation times 有权

    公开(公告)号：US11307660B2

    公开(公告)日：2022-04-19

    申请号：US17007869

    申请日：2020-08-31

    Applicant: HUAWEI TECHNOLOGIES CO., LTD.

    Inventor： Hui Yang ,  Peng Yuan ,  Weidong Tang ,  Shuaihua Peng

    IPC: G06F3/01 ,  G06K9/00 ,  G06K9/46 ,  G06K9/62 ,  G06T1/00

    Abstract: This application provides an image recognition method and device. The image recognition method includes: setting a presentation time sequence corresponding to an image sequence includes N images, the presentation time sequence includes unequal presentation times, a difference between any two presentation times of the unequal presentation times is k×Δ, k is a positive integer, and Δ is a preset time period value; processing the image sequence by using a computer vision algorithm, to obtain a computer vision signal corresponding to each image in the image sequence; obtaining a feedback signal that is corresponding to each image in the image sequence generated when an observation object watches the image sequence displayed in the presentation time sequence; and fusing, for each image in the image sequence, a corresponding computer vision signal and a corresponding feedback signal to obtain a target recognition signal of each image in the image sequence.

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