LEARNING MODE FOR CONTEXT IDENTIFICATION

    公开(公告)号:US20230140011A1

    公开(公告)日:2023-05-04

    申请号:US18089028

    申请日:2022-12-27

    Abstract: Wearable devices that predict the context in which they are used based on previously tracked context data, and methods associated with the same, are provided. A wearable device may include a processor, a sensor that records data associated with a user of the wearable device, and memory storing executable instructions. By way of executing the instructions, the wearable device may receive context data representing a first context from the user. The wearable device may correlate the received context data with a first set of recorded sensor data. A second set of recorded sensor data may be recorded subsequent to recording the first set of recorded sensor data. The wearable device may then predict a second context associated with the second set of recorded sensor data based on the correlation between the context data received from the user and the first set of recorded sensor data.

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