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)