Fall Risk Assessment for a User
AssigneeGoogle Inc.
InventorsBoyan Bonev, Jung Ook Hong
Life of this patent
Estimating the term…
Abstract
A computer-implemented method for assessing a fall risk of a user is provided. The computer-implemented method includes obtaining data indicative of the user engaging in a fall risk activity. The computer-implemented method includes adjusting a fall detection threshold of a wearable computing device worn by the user based, at least in part, on the data indicative of the user engaging in the fall risk activity. The method includes providing a notification indicative of the user being at risk of falling due, at least in part, to the user engaging in the fall risk activity.
Claims20
A computer-implemented method for assessing a fall risk of a user, the method comprising:
- obtaining, by one or more processors, sleep data from one or more sensors of a wearable computing device, the sleep data associated with a sleep event of a user wearing the wearable computing device;
- obtaining, by the one or more processors, motion data from the one or more sensors of the wearable computing device, the motion data indicative of a pace at which the user walks after waking from the sleep event;
- adjusting, by the one or more processors, a fall detection threshold of the wearable computing device according to the sleep data and the motion data;
- and
- providing, by the one or more processors, a notification to the user based on the fall detection threshold being indicative of an increased risk of falling.
A wearable computing device, comprising:
- a plurality of sensors;
- and
- one or more processors communicatively coupled with the plurality of sensors, the one or more processors configured to perform operations, the operations comprising:
- obtaining sleep data from one or more of the plurality of sensors for a sleep event associated with a user of the wearable computing device;
- obtaining motion data from one or more of the plurality of sensors, the motion data indicative of a pace at which the user walks after waking from the sleep event;
- and
- adjusting a fall detection threshold based on the sleep data and the motion data;
- and
- providing a notification to the user based on the fall detection threshold being indicative of an increased risk of falling.
A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations, the operations comprising:
- obtaining sleep data from one or more sensors of a wearable computing device, the sleep data associated with a sleep event of a user wearing the wearable computing device;
- obtaining motion data from the one or more sensors of the wearable computing device, the motion data indicative of a pace at which the user walks after waking from a sleep event;
- adjusting a fall detection threshold of the wearable computing device according to the sleep data and the motion data;
- and
- providing, by the one or more processors, a notification to the user based on the fall detection threshold being indicative of an increased risk of falling.
Dependencies are inferred from the claim text.