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    Vehicle system and method for adjusting interior control settings based on driver emotion and environmental context
    4.
    发明授权
    Vehicle system and method for adjusting interior control settings based on driver emotion and environmental context 有权

    公开(公告)号：US12280727B2

    公开(公告)日：2025-04-22

    申请号：US18055190

    申请日：2022-11-14

    Applicant: GM Global Technology Operations LLC

    Inventor： Aravind Gangumalla ,  Vikramaditya Nimmagadda ,  Arun Adiththan

    IPC: B60R16/037 ,  B60W10/30 ,  B60W40/08 ,  G06V20/59

    Abstract: A method is provided for operating a vehicle having an interior control setting system with a computer. One or more occupant input devices generate an occupant input signal associated with sensor data, which indicates a total number of occupants, a classification, and a current emotion for each occupant disposed in the vehicle. One or more processors uses multiple occupant profiles, with each occupant profile mapped to a unique occupant identification and a plurality of actuated interior control settings, to determine an n-occupant emotion vector based on the total number of the occupants and the classification for each occupant. The processor maps the n-occupant emotion vector to interior control settings and determines a predicted interior control setting for the occupant. The processor generates an actuation signal associated with the predicted interior control setting, such that one or more actuators actuate a vehicle component based on the predicted interior control setting.

    DRIVER ATTENTION DETECTION
    5.
    发明申请
    DRIVER ATTENTION DETECTION 有权

    公开(公告)号：US20250065896A1

    公开(公告)日：2025-02-27

    申请号：US18455118

    申请日：2023-08-24

    Applicant: GM Global Technology Operations LLC

    Inventor： Arun Adiththan ,  Vikramaditya Nimmagadda ,  Aravind Gangumalla

    IPC: B60W50/08 ,  B60W40/08 ,  B60W50/14 ,  B60W60/00 ,  G08B21/02

    Abstract: A system for monitoring a driver in a vehicle includes a driver monitoring system adapted to monitor the driver of the vehicle, a system controller in communication with the driver monitoring system and adapted to collect data from the driver monitoring system related to gaze behavior of the driver, classify the driver as one of a plurality of driver attention statuses based on the data from the driver monitoring system, the driver attention statuses including safe, borderline and unsafe, and, when the driver status is unsafe, prompt the driver, via a human machine interface (HMI), with questions adapted to test the alertness of the driver, receive, via the HMI, from the driver, responses to the questions, analyze the responses, and initiate responsive actions based on the responses from the driver.

    Exposure risk assessment and countermeasure systems
    10.
    发明授权
    Exposure risk assessment and countermeasure systems 有权

    公开(公告)号：US11842310B2

    公开(公告)日：2023-12-12

    申请号：US17118933

    申请日：2020-12-11

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Roy J. Mathieu ,  Omer Tsimhoni ,  Aravind Gangumalla

    IPC: G06Q10/0635 ,  C11D11/00 ,  G06Q50/30 ,  G16H50/80

    CPC classification number: G06Q10/0635 ,  C11D11/0041 ,  G06Q50/30 ,  G16H50/80

    Abstract: A risk assessment system is provided and includes a transceiver, an output device, and activity, localization, tracking, and risk assessment modules. The activity module: receives signals from sensors or electrical devices of a supporting structure; and tracks activities in or within a set distance of the supporting structure to generate an activity history log. The localization module relates the activities to aspects of the supporting structure and generates corresponding localization data. The transceiver receives a notification key identifying a network device used by a user exposed to a contaminant. The tracking module, in response to the notification key, tracks contamination states of the aspects of the supporting structure contacted directly or indirectly by the user. The risk assessment module determines and reports an exposure risk level of an occupant of the supporting structure based on the contamination states, the localization data and the activity history log.

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