Lynne Grewe, Steven Magaña-Zook CSUEB, [email protected] A cyber-physical system for senior collapse detection.
Dec 18, 2015
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- Lynne Grewe, Steven Magaa-Zook CSUEB, [email protected] A cyber-physical system for senior collapse detection
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- Seniors Falling Over 1/3rd of seniors above 65 fall each year Lead to serious injury and even death Falls account for 25% of all hospital admissions, and 40% of all nursing home admissions 40% of those admitted do not return to independent living; 25% die within a year. Fast medical attention can make a difference Many falls do not result in injuries, yet a large percentage of non-injured fallers (47%) cannot get up without assistance.
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- Cost of Falling? 2005, CDC study Cost for Falls leading to fatality
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- Goal create a smart home system to predict and detect the falling of senior/geriatric participants in home environments More seniors living at home autonomously
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- SCD: Senior Collapse Detection Overview
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- SCD: uses Kinect Sensor Inexpensive, commercial, well tested, good API support Modalityexample 2D 3D Audio
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- Feature Extraction Perform Skeleton Tracking Ideal fall indicators often involve joint locations and range of motion Good Resolution 21 joints
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- Skeleton Tracking Has Noise Degrading performance with occlusion General Twitching Also degrades as more occlusion from being on floor
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