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http://dx.doi.org/10.5392/JKCA.2022.22.03.593

Development of Personalized Exercise Prescription System based on Kinect Sensor  

Woo, Hyun-Ji (전북대학교 대학원 헬스케어공학과)
Yu, Mi (전북대학교 공과대학 바이오메디컬공학부)
Hong, Chul-Un (전북대학교 공과대학 바이오메디컬공학부)
Kwon, Tae-Kyu (전북대학교 공과대학 바이오메디컬공학부)
Publication Information
The Journal of the Korea Contents Association / v.22, no.3, 2022 , pp. 593-605 More about this Journal
Abstract
The purpose of this study is to investigate the personalized treacmill exercise analysis using a smart mirror based on Kinect sensor. To evaluate the performance of the development system, 10 health males were used to measure the range of the hip joint, knee joint, and ankle joint using a smart mirror when walking on a treadmill. For the validity and reliability of the development system, the validity and reliability were analyzed by comparing the human movement data measured by the Kinect sensor with the human movement data measured by the infrared motion capture device. As a result of validity verification, the correlation coefficient r=0.871~0.919 showed a high positive correlation, and through linear regression analysis, the validity of the smart mirror system was 88%. Reliability verification was conducted by ICC analysis. As a result of reliability verification, the correlation coefficient r=0.743~0.916 showed high correlation between subjects, and the consistency for repeated measurement was also very high at ICC=0.937. In conclusion, despite the disadvantage that Kinect sensor is less accurate than the motion capture system, Kinect is it has the advantage of low price and real-time information feedback. This means that the Kinect sensor is likely to be used as a tool for evaluating exercise prescription through human motion measurement and analysis.
Keywords
Smart Mirror; Exercise Prescription; Bio-feedback; Kinect Sensor; Gait Analysis;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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