Behavioral detection of falls using body shapes from 3D joint data

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Behavioral detection of falls using body shapes from 3D joint data

February 01, 2016

Sam Chung, director, School of Information Systems and Applied Technologies, has a peer-reviewed research paper with four co-authors titled, “FADES: Behavioral detection of falls using body shapes from 3D joint data,”  in the Journal of Ambient Intelligence and Smart Environments (JAISE)