[Legacy Report] EMBS Chapter Seminar on A Smartphone-based Fall Detection System for Elderly People
IEEE Northern Jersey Section EMBS Chapter Seminar
A Smartphone-based Fall Detection System for Elderly People
Dr. Jin-Shyan Lee, Ph.D. & Associate Professor
Department of Electrical Engineering
National Taipei University of Technology
Place: ECE 202
Time: 4:00pm, Jan. 28, 2016
Abstract: For elderly people, falls are the leading cause of injury deaths. In this talk, a smartphone-based fall detection system for the elderly will be presented. To realize the proposed fall detection approach, measured signals from a built-in triaxial accelerometer of the smartphone are used as system inputs. The acquired waveforms are then adopted to determine the fall accident event. Moreover, when a fall event is detected, the user's location would be obtained by a built-in global positioning system (GPS) sensor, and then transmitted to a rescue center via communication network so that the user could have medical help immediately.
Bio: Dr. Jin-Shyan Lee received his Ph.D. degree in electrical and control engineering from National Chiao-Tung University in Taiwan in 2004. During 2005-2009, he was a researcher at the information and communications research laboratory, Industrial Technology Research Institute (ITRI). He then joined the department of electrical engineering at National Taipei University of Technology (Taipei Tech.), where he is currently an Associate Professor. During 2003-2004 (one year) and 2015-2016 (six months), he was a visiting scholar at the Department of Electrical and Computer Engineering, New Jersey Institute of Technology (NJIT). His current research interests include wireless sensor networks, remote monitoring and control, supervisory control, and Petri nets.
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