a cyber-physical system for senior collapse detection
DESCRIPTION
A cyber-physical system for senior collapse detection . Lynne Grewe , Steven Magaña-Zook CSUEB, [email protected]. Seniors Falling. O ver 1/3rd of seniors above 65 fall each year Lead to serious injury and even death - PowerPoint PPT PresentationTRANSCRIPT
Consumer-oriented social data fusion: controlled learning in social environments, social advertising and more
Lynne Grewe, Steven Magaa-ZookCSUEB, [email protected] cyber-physical system for senior collapse detection
Seniors FallingOver 1/3rd of seniors above 65 fall each yearLead to serious injury and even deathFalls 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 differenceMany falls do not result in injuries, yet a large percentage of non-injured fallers (47%) cannot get up without assistance.
Cost of Falling?2005, CDC study Cost for Falls leading to fatality
Goalcreate a smart home system to predict and detect the falling of senior/geriatric participants in home environments More seniors living at home autonomously
SCD: Senior Collapse Detection Overview
SCD: uses Kinect SensorInexpensive, commercial, well tested, good API support
Modalityexample2D 3D Audio
Feature ExtractionPerform Skeleton TrackingIdeal fall indicators often involve joint locations and range of motionGood Resolution 21 joints
Skeleton Tracking Has NoiseDegrading performance with occlusionGeneral TwitchingAlso degrades as more occlusion from being on floor