Networked Gait Rehabilitation: A Cyber-Physical System Approach
Wenlong Zhang
Department of Mechanical Engineering
University of California, Berkeley
Wednesday, March 18, 2015
1:30 p.m.
Peralta (PRLTA) 130, Polytechnic campus [map]
Abstract
Our society is witnessing an unprecedented, enduring and pervasive aging process. With more people requiring walking assistance, the demand for gait physical therapy and rehabili-tation has increased rapidly over the years. Current gait rehabilitation therapy relies on physical therapists to make evaluations and provide manual assistance, which is cost and labor intensive. In this talk, design of a networked gait rehabilitation system will be introduced to achieve in-home rehabilitation. The first part of the talk focuses on the design and clinical evaluations of a wireless human motion monitoring system to provide real-time visual feedback to patients. The second part of the talk introduces the design of network infrastructures and motion controllers to achieve real-time and high-speed wireless control of a robotic assistive device. As a conclusion, Zhang will summarize the sensing and control methodologies for designing a general class of cyber-physical systems, and their potential applications in multi-agent systems, human-robot interactions, and autonomous systems.
Biosketch
Wenlong Zhang is currently a Ph.D. candidate in mechanical engineering department at the University of California, Berkeley. He received the B.Eng. degree (Hons.) in automation from Harbin Institute of Technology in 2010, and the M.S. degree in mechanical engineering and the M.A. degree in statistics both from the University of California, Berkeley in 2012 and 2013, respectively. His re-search interests include gait analysis and rehabilitation, human-involved cyber-physical systems, networked and distributed systems, and statistical data analysis. Zhang received the Best Paper Award at the IEEE Real-time System Symposium in 2013 and was among the Semi-plenary Paper Award Finalists at the ASME Dynamic Systems and Control Conference in 2012. He received the Berkeley Fellowship for Graduate Study at UC Berkeley from 2010 to 2012.
