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EP-127 - Using Wearable Sensors to Evaluate Daily Activities of Older Adults

Monday, April 30
9:35 AM - 9:50 AM
Location: Education Zone, Booth 2416, Screen 3

Monitoring of activities of daily living (ADL) using wearable sensors can provide an objective indication of the activity levels or restrictions experienced by patients or elderly. The proposed study will present a two-sensor ADL classification method designed and tested specifically with elderly subjects.The findings of the current study will be used as the first step towards a more comprehensive activity monitoring technology specifically designed for the aging population.

Learning Objectives:

Sukwon Kim

Associate Professor
Chonbuk National University

Dr. Kim is an associate professor of department of physical education, Chonbuk National University, South Korea. His research interests are in the areas of mechanisms of slips and falls, fall risk assessment of the elderly, fall injury prevention, gait analysis.

Presentation(s):

Send Email for Sukwon Kim

Jian Liu

Associate Professor
Marshall University

Dr. Liu is an associate professor of College of Information Technology and Engineering, Marshall University. Dr. Liu completed a master’s and Ph.D. from Virginia Tech. His research interests are in the areas of: Biomechanical mechanisms of slips and falls, Fall risk assessment of the elderly, Fall injury prevention via ambulatory fall event detection technology, Gait analysis (e.g., normal and pathological gait, aging, dynamic stability).

Presentation(s):

Send Email for Jian Liu


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