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- W2076916164 abstract "Low cost depth sensors could potentially allow for home-based care and rehabilitation using virtual systems. Currently, no publicly available and peer-reviewed assessment has been made on the accuracy of joint position data determined by the Microsoft Kinect <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>TM</sup> for assessment of upper extremity movements. We devised and validated clinically-based angle classifications for random arm movements in 3D-space, specifically, the shoulder joint flexion/extension angle, shoulder joint abduction/adduction angle, and 3-dimensional shoulder joint angle of 19 subjects at a distance of 2.0m using an eight camera Vicon Motion Capture system. Results show an average absolute error of these angle measurements not exceeding 10.0%." @default.
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- W2076916164 date "2013-08-01" @default.
- W2076916164 modified "2023-10-03" @default.
- W2076916164 title "Quantitative evaluation of the Microsoft Kinect<sup>TM</sup> for use in an upper extremity virtual rehabilitation environment" @default.
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- W2076916164 doi "https://doi.org/10.1109/icvr.2013.6662131" @default.
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