
基本信息:
- 专利标题: Detection and Classification of Unknown Motions in Wearable Devices
- 申请号:US17631788 申请日:2020-07-30
- 公开(公告)号:US20220269350A1 公开(公告)日:2022-08-25
- 发明人: Nicholas Gillian , Daniel Lee Giles
- 申请人: Google LLC
- 申请人地址: US CA Mountain View
- 专利权人: Google LLC
- 当前专利权人: Google LLC
- 当前专利权人地址: US CA Mountain View
- 国际申请: PCT/US2020/044182 WO 20200730
- 主分类号: G06F3/01
- IPC分类号: G06F3/01 ; G06N3/02 ; G06F1/16 ; D03D15/533 ; D03D15/25 ; D03D1/00
摘要:
Computing systems and related methods are provided for discovery of undefined user movements. Sensor data associated with one or more sensors of a wearable device can be obtained and input into one or more machine-learned models that have been trained to learn a continuous embedding space based at least in part on one or more target criteria. Data indicative of a position of the sensor data within the continuous embedding space can be obtained as an output of the one or more machine-learned models. A functionality associated with the position of the sensor data within the continuous embedding space can be determined. The functionality associated with the position of the sensor data within the continuous embedding space can be initiated.