DocumentCode :
3202196
Title :
Evaluation of the Microsoft Kinect for screening ACL injury
Author :
Stone, Erik E. ; Butler, Mairead ; McRuer, Aaron ; Gray, Alison ; Marks, Justin ; Skubic, Marjorie
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Missouri, Columbia, MO, USA
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
4152
Lastpage :
4155
Abstract :
A study was conducted to evaluate the use of the skeletal model generated by the Microsoft Kinect SDK in capturing four biomechanical measures during the Drop Vertical Jump test. These measures, which include: knee valgus motion from initial contact to peak flexion, frontal plane knee angle at initial contact, frontal plane knee angle at peak flexion, and knee-to-ankle separation ratio at peak flexion, have proven to be useful in screening for future knee anterior cruciate ligament (ACL) injuries among female athletes. A marker-based Vicon motion capture system was used for ground truth. Results indicate that the Kinect skeletal model likely has acceptable accuracy for use as part of a screening tool to identify elevated risk for ACL injury.
Keywords :
angular measurement; biomechanics; biomedical measurement; bone; injuries; motion measurement; patient treatment; physiological models; sensors; ACL injury screening; Microsoft Kinect SDK; Microsoft Kinect sensor; anterior cruciate ligament; biomechanical measure; drop vertical jump test; female athlete; frontal plane knee angle; knee valgus motion measurement; knee-to-ankle separation ratio; marker-based Vicon motion capture system; peak flexion; risk elevation identification; skeletal model evaluation; Accuracy; Biomechanics; Injuries; Integrated circuits; Joints; Knee; Motion measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6610459
Filename :
6610459
Link To Document :
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