Methods and systems for sequential micro-activity based driver detection on smart devices

    公开(公告)号:US11834051B2

    公开(公告)日:2023-12-05

    申请号:US17270672

    申请日:2020-02-14

    CPC classification number: B60W40/08 B60L3/12 B60W40/10 B60W2540/223

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for driver detection are described. One example method includes monitoring data provided by an accelerometer associated with a client device. It is determined whether the data indicates a particular event associated with a vehicle. In response to determining that the data indicates the particular event associated with the vehicle, one or more micro-activities associated with the vehicle are determined based on data from at least one of the accelerometer and one or more other sensors associated with the client device. Results from each of the one or more micro-activities are provided to a trained model associated with the client device. In response to providing the results to the trained model, one or more vehicular events in a time sequence are identified based on the one or more micro-activities associated with the vehicle.

    MOBILE DEVICE HAVING MULTIPLE CORRESPONDING SENSORS

    公开(公告)号:US20230094615A1

    公开(公告)日:2023-03-30

    申请号:US18060772

    申请日:2022-12-01

    Inventor: Yurong Xu

    Abstract: A mobile device such as a smart phone, tablet computer, Internet of things (IoT) device, and/or wearable device includes a sensor module coupled to multiple corresponding sensors. The multiple corresponding sensors include multiple instances of the same type of motion sensor in different physical locations on the mobile device. The sensor module includes a software architecture/algorithm that can configure the multiple corresponding sensors to provide sensor measurements having a higher sampling frequency and/or an improved accuracy. In addition, the sensor module may provide sensor measurements having additional degrees of freedom and/or lower power consumption than can be provided by existing sensor modules. In one example, the multiple corresponding sensors include multiple accelerometers that operate at relatively low power to provide linear acceleration samples, the sensor module processes the multiple linear acceleration samples to generate a measure of angular acceleration used to activate the mobile device.

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