SYSTEM AND METHOD FOR DETERMINING REFERENCE GAZE DATA

    公开(公告)号:US20220313082A1

    公开(公告)日:2022-10-06

    申请号:US17699588

    申请日:2022-03-21

    申请人: Tobii AB

    IPC分类号: A61B3/11 A61B3/00 A61B3/14

    摘要: The invention is related to an eye tracking system for determining reference gaze data of a user in a scene exposing a pupil of the user. The eye tracking system comprising processing circuitry configured to obtain a first eye image comprising the pupil of the user, the first eye image being captured during a first time period; determine, based on the first eye image, a first pupil size; obtain a second eye image comprising the pupil of the user, the second eye image being captured during a second time period; determine, based on the second eye image, a second pupil size; obtain scene information of the scene exposing the pupil of the user, the scene information comprising at least the first luminance level, the second luminance level and spatial information of the second region during the second time period; determine a pupil size change between the first pupil size and the second pupil size, the pupil size change indicating that the user is looking at the second region; determine reference gaze data of the user during the second time period, if the pupil size change is larger than a pupil size change threshold. The invention further relates to a head-mounted device, a method, a computer program and a carrier.

    Turn-taking
    4.
    发明申请

    公开(公告)号:US20210256980A1

    公开(公告)日:2021-08-19

    申请号:US17129188

    申请日:2020-12-21

    申请人: Tobii AB

    摘要: Method for voice-based interactive communication using a digital assistant, wherein the method comprises, an attention detection step, in which the digital assistant detects a user attention and as a result is set into a listening mode; a speaker detection step, in which the digital assistant detects the user as a current speaker; a speech sound detection step, in which the digital assistant detects and records speech uttered by the current speaker, which speech sound detection step further comprises a lip movement detection step, in which the digital assistant detects a lip movement of the current speaker; a speech analysis step, in which the digital assistant parses said recorded speech and extracts speech-based verbal informational content from said recorded speech; and a subsequent response step, in which the digital assistant provides feed-back to the user based on said recorded speech