Dynamic Wearable Tightness Suggestions
AssigneeGoogle Inc.
InventorJonathan D. Hurwitz
Life of this patent
Estimating the term…
Abstract
A trained model running on a wearable device can be used to analyze PPG inputs and error/confidence levels, internal and/or external temperature inputs, and motion sensor data to determine whether the wearable device can be more tightly secured to the body of a user to improve PPG or other health sensor signals. A clustering model can be used to analyze data in real time or close to real time, and provide a notification to the user. The notifications can indicate steps to be taken to improve the signal quality from the wearable device, such as tightening the device.
Claims20
A method for providing information related to fit of a wearable device, the method comprising:
- receiving external temperature sensor data from one or more sensors configured to obtain an external temperature of the wearable device
- receiving health data from one or more health sensors of the wearable device;
- analyzing, using a trained machine learning model, metrics related to the external temperature sensor data and the health data, to obtain an output;
- determining, from the output, whether to suggest adjusting the fit of the wearable device;
- and
- generating a notification based on the determining.
A wearable device, comprising:
- a communications interface;
- a display;
- and
- one or more computing devices coupled to one or more memory devices, the one or more memory devices containing instructions that cause the one or more computing devices to:
- receive external temperature sensor data from one or more sensors configured to obtain an external temperature of the wearable device
- receive health data from one or more health sensors of the wearable device;
- receive motion sensor data from one or more motion sensors of the wearable device;
- analyze, using a trained machine learning model, metrics related to the external temperature sensor data and, the health data, and the motion sensor data, to obtain an output;
- determine, from the output, whether to suggest adjusting the fit of the wearable device;
- and
- generate a notification based on the determining.
A non-transient computer readable medium containing program instructions, the instructions when executed perform the steps of:
- receiving external temperature sensor data from one or more sensors configured to obtain an external temperature of a wearable device
- receiving health data from one or more health sensors of the wearable device;
- analyzing, using a trained machine learning model, metrics related to the external temperature sensor data and the health data, to obtain an output;
- determining, from the output, whether to suggest adjusting the fit of the wearable device;
- and
- generating a notification based on the determining.
Dependencies are inferred from the claim text.