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US Patent 10319209 Method and system for motion analysis and fall prevention

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Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10319209
Patent Inventor Names
John Carlton-Foss0
Date of Patent
June 11, 2019
Patent Application Number
15613623
Date Filed
June 5, 2017
Patent Citations Received
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US Patent 12133724 Machine vision to predict clinical patient parameters
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US Patent 11495110 Systems and methods for detecting a medical emergency event
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US Patent 11935651 Alert systems for senior living engagement and care support platforms
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US Patent 11996194 Senior living engagement and care support platforms
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US Patent 12095940 Hearing devices using proxy devices for emergency communication
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US Patent 11462094 Sensing peripheral heuristic evidence, reinforcement, and engagement system
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US Patent 11568262 Neural network based radiowave monitoring of fall characteristics in injury diagnosis
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US Patent 10942939 Systems and methods for unsupervised streaming feature selection in social media
...
Patent Primary Examiner
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Laura N Nguyen
Patent abstract

A system and method of motion analysis, fall detection, and fall prediction using machine learning and classifiers. A wearable motion sensor for collecting and transmitting motion data for use in a fall prediction model using features and parameters to classify the motion data and notify when a fall is emergent. Using machine learning, the fall prediction model can be created, implemented, evaluated, and it can evolve over time with additional data. The system and method can use individual data or pool data from various individuals for use in fall prediction.

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