SUBMERSION DETECTION, UNDERWATER DEPTH AND LOW-LATENCY TEMPERATURE ESTIMATION USING WEARABLE DEVICE

    公开(公告)号:US20240085185A1

    公开(公告)日:2024-03-14

    申请号:US18462324

    申请日:2023-09-06

    Applicant: Apple Inc.

    CPC classification number: G01C21/165 G01C21/183

    Abstract: Embodiments are disclosed for submersion detection and underwater depth and low-latency temperature estimation. In an embodiment, a method comprises: determining a first set of vertical accelerations obtained from an inertial sensor of a wearable device; determining a second set of vertical accelerations obtained from pressure data; determining a first feature associated with a correlation between the first and second sets of vertical accelerations; and determining that the wearable device is submerged or not submerged in water based on a machine learning model applied to the first feature. In another embodiment, a method comprises: determining a submersion state of a wearable device; and responsive to the submersion state being submerged, computing a forward estimate of water temperature based on measured ambient water temperature at the water surface, a temperature error lookup table, and a rate of change of the ambient water temperature.

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