DocumentCode :
41594
Title :
Reliability and Validity of Kinect RGB-D Sensor for Assessing Standing Balance
Author :
Yang Yang ; Fang Pu ; Yan Li ; Shuyu Li ; Yubo Fan ; Deyu Li
Author_Institution :
Key Lab. for Biomech. & Mechanobiology of Minist. of Educ., Beihang Univ., Beijing, China
Volume :
14
Issue :
5
fYear :
2014
fDate :
May-14
Firstpage :
1633
Lastpage :
1638
Abstract :
Microsoft Kinect uses a built-in RGB-D sensor and the skeleton tracking algorithm to capture 3-D movements of the human body. It also has the potential for assessing postural stability, which is fundamental for most motor activities. The aim of this paper was to investigate whether standing balance can be evaluated reliably and validly by this low-cost device. Nine healthy subjects were required to maintain balance during three standing positions (double limb stance with feet apart, double limb stance with feet together and single limb stance). The center of mass (COM) was calculated from the body´s kinematic data acquired by the Kinect system and Optotrak Certus motion capture system. The position variability and average velocity of the COM in the horizontal plane were calculated and used to evaluate the subject´s balance. These COM parameters from the two systems showed excellent and comparable test-retest reliability (intraclass correlation coefficient ). In addition, although the average velocity of the COM calculated from Kinect was significantly lower, each COM parameter showed excellent concurrent validity and a significant linear relationship existed between the two systems, which meant that biases may be corrected using linear calibration equations. Therefore, Kinect may be a valid, reliable, and convenient device for assessing standing balance when its measured COM parameters are properly calibrated.
Keywords :
calibration; data acquisition; gait analysis; image capture; image motion analysis; image sensors; object tracking; pose estimation; reliability; 3D movement capture; COM parameter calibration; Kinect system; Microsoft Kinect RGB-D sensor; Optotrak Certus motion capture system; body kinematic data acquisition; center of mass; linear calibration equations; motor activity; position variability; postural stability assessment; reliability; skeleton tracking algorithm; standing balance assessment; standing position; Educational institutions; Kinematics; Sensors; Stability criteria; Standards; Three-dimensional displays; Assessment; Microsoft Kinect; RGB-D sensor; center of mass; postural stability; standing balance;
fLanguage :
English
Journal_Title :
Sensors Journal, IEEE
Publisher :
ieee
ISSN :
1530-437X
Type :
jour
DOI :
10.1109/JSEN.2013.2296509
Filename :
6695766
Link To Document :
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