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US Patent 10055961 Surveillance system and method for predicting patient falls using motion feature patterns

Patent 10055961 was granted and assigned to Careview Communications on August, 2018 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Careview Communications
Careview Communications
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Current Assignee
Careview Communications
Careview Communications
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
100559610
Patent Inventor Names
Steven Gail Johnson0
Derek del Carpio0
Date of Patent
August 21, 2018
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Patent Application Number
158245520
Date Filed
November 28, 2017
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Patent Citations Received
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US Patent 12106654 Surveillance system and method for predicting patient falls using motion feature patterns
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US Patent 11837363 Remote management of patient environment
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US Patent 11908581 Patient risk assessment based on data from multiple sources in a healthcare facility
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US Patent 12008880 Utilizing artificial intelligence to detect objects or patient safety events in a patient room
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US Patent 12070324 Contactless sleep detection and disturbance attribution for multiple users
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US Patent 11504071 Patient risk assessment based on data from multiple sources in a healthcare facility
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US Patent 10276019 Surveillance system and method for predicting patient falls using motion feature patterns
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US Patent 10482321 Methods and systems for identifying the crossing of a virtual barrier
...
Patent Primary Examiner
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Kim Vu
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Patent abstract

A method and system for detecting a fall risk condition, the system comprising a surveillance camera configured to generate a plurality of frames showing an area in which a patient at risk of falling is being monitored, and a computer system comprising memory and logic circuitry configured to store motion feature patterns that are extracted from video recordings, the motion feature patterns are representative of motion associated with real alarm cases and false-alarm cases of fall events, receive a fall alert from a classifier, determine motion features of one or more frames from the plurality of frames that correspond to the fall alert; compare the motion features of the one or more frames with the motion feature patterns, and determine whether to confirm the fall alert based on the comparison.

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