Statistical data mining of streaming motion data for activity and fall recognition in assistive environments - Tasoulis, S.K.; Doukas, C.N.; Plagianakos, V.P.; Maglogiannis, I. (Neurocomputing (Amsterdam), 2013)
Keywords: Applied sciences; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Cumulative sum (CUSUM) algorithm; Data processing. List processing. Character string processing; Exact sciences and technology; Fall detection; Memory organisation. Data processing; Software; Streaming motion data; Visual data; Cumulative sum (CUSUM) algorithm; Streaming motion data; Fall detection; Visual data; Classification scheme; Mobile phone; Event detection; Mobility; Activity; Data mining; Statistical data; CUSUM method; Displacement measurement; Human; Multimedia; Streaming; Data analysis; Statistical analysis; Motion estimation; Measurement sensor; Distributed system; Real time; Physical handicap; Body area network; Scene analysis; Alarm; Body movement; Emergency; Motion analysis; Elderly; Central unit; Mobile computing