PSYCHOMOTOR VIGILANCE TESTING FOR PERSONS TASKED WITH MONITORING AUTONOMOUS VEHICLES

    公开(公告)号:US20240041372A1

    公开(公告)日:2024-02-08

    申请号:US18490306

    申请日:2023-10-19

    Applicant: Waymo LLC

    CPC classification number: A61B5/18 A61B5/162 A61B5/165 A61B5/7267

    Abstract: Assessing a likelihood of a person experiencing a fatigue event when the person tasked with monitoring a vehicle operating in an autonomous driving mode may include receiving a set of response times for a psychomotor vigilance test administered to the person. The test may include a plurality of trials which involve a person lifting a finger from a user input device. Whether the person passed or failed each trial of the set of trials may be determined. A model trained using data from prior psychomotor vigilance tests administered to the person may be identified for the person. Results of the determinations of whether the person passed or failed each trial of the set of trials may be input into the model in order to determine a value representative of a likelihood of a fatigue event. An intervention response may be initiated based on the value.

    PSYCHOMOTOR VIGILANCE TESTING FOR PERSONS TASKED WITH MONITORING AUTONOMOUS VEHICLES

    公开(公告)号:US20210106266A1

    公开(公告)日:2021-04-15

    申请号:US16598752

    申请日:2019-10-10

    Applicant: Waymo LLC

    Abstract: Assessing a likelihood of a person experiencing a fatigue event when the person tasked with monitoring a vehicle operating in an autonomous driving mode may include receiving a set of response times for a psychomotor vigilance test administered to the person. The test may include a plurality of trials which involve a person lifting a finger from a user input device. Whether the person passed or failed each trial of the set of trials may be determined. A model trained using data from prior psychomotor vigilance tests administered to the person may be identified for the person. Results of the determinations of whether the person passed or failed each trial of the set of trials may be input into the model in order to determine a value representative of a likelihood of a fatigue event. An intervention response may be initiated based on the value.

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