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US 2022/0036716 A1Published application
Fall validation with privacy-aware monitoring
AssigneeHealthcare Integrated Technologies, Inc.
InventorsKenneth M. GREENWOOD, Scott Michael BORUFF, Jurgen Klaus VOLLRATH
Life of this patent
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Abstract
A method and system for detecting a person falling, confirming a potential fall, and taking action to mitigate the effects of a fall.
Claims14
A fall detector, comprising
- an image capture device,
- a microphone, and
- a processor connected to a memory that includes machine-readable code defining an algorithm for controlling the image capture device and microphone to monitor a person for purposes of detecting falls, wherein the image capture device is adapted to capture only select information, and the algorithm is configured to identify flagging events based on falls detected by the image capture device, and to capture sound data from the microphone to supplement information not captured by the image capture device and to corroborate potential falls detected by the image capture device.
A fall detector comprising
- a video camera to capture video data,
- a processor, and
- a memory connected to the processor, wherein the memory includes machine-readable code adapted to parse the video data to identify fall events, to obfuscate the video data, and to keep a record of at least one of the video data and the obfuscated video data.
A method of enhancing the safety of a user in a dwelling, comprising
- monitoring the user for falls in the dwelling by capturing image and sound data, and
- corroborating the image data and the sound data in the event of a suspected fall, respectively with sound data and image data captured over a corresponding time frame.
Dependencies are inferred from the claim text.