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http://dx.doi.org/10.21288/resko.2016.10.3.199

Development of Gait Monitoring System Based on 3-axis Accelerometer and Foot Pressure Sensors  

Ryu, In-Hwan (인하대학교 컴퓨터정보공학과)
Lee, Sunwoo (인하대학교 컴퓨터정보공학과)
Jeong, Hyungi (인하대학교 컴퓨터정보공학과)
Byun, Kihoon (인하대학교 컴퓨터정보공학과)
Kwon, Jang-Woo (인하대학교 컴퓨터정보공학과)
Publication Information
Journal of rehabilitation welfare engineering & assistive technology / v.10, no.3, 2016 , pp. 199-206 More about this Journal
Abstract
Most Koreans walk having their toes in or out, because of their sedentary lifestyles. In addition, using smartphone while walking makes having a desirable walking posture even more difficult. The goal of this study is to make a simple system which easily analyze and inform any person his or her personal walking habit. To discriminate gait patterns, we developed a gait monitoring system using a 3-axis accelerometer and a foot pressure monitoring system. The developed system, with an accelerometer and a few pressure sensors, can acquire subject's foot pressure and how tilted his or her torso is. We analyzed the relationship between type of gate and sensor data using this information. As the result of analysis, we could find out that statistical parameters like standard deviation and root mean square are good for discriminating among torso postures, and k-nearest neighbor algorithm is good at clustering gait patterns. The developed system is expected to be applicable to medical or athletic fields at a low price.
Keywords
accelerometer; pressure sensor; gait analaysis; k-nearest neighbor clustering; posture;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
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