Journal article

Capturing Upper Limb Gross Motor Categories Using the Kinect (R) Sensor

Na Jin Seo, Vincent Crocher, Egli Spaho, Charles R Ewert, Mojtaba F Fathi, Pilwon Hur, Sara A Lum, Elizabeth M Humanitzki, Abigail L Kelly, Viswanathan Ramakrishnan, Michelle L Woodbury

American Journal of Occupational Therapy | AMER OCCUPATIONAL THERAPY ASSOC, INC | Published : 2019


Importance: Along with growth in telerehabilitation, a concurrent need has arisen for standardized methods of tele-evaluation. Objective: To examine the feasibility of using the Kinect sensor in an objective, computerized clinical assessment of upper limb motor categories. Design: We developed a computerized Mallet classification using the Kinect sensor. Accuracy of computer scoring was assessed on the basis of reference scores determined collaboratively by multiple evaluators from reviewing video recording of movements. In addition, using the reference score, we assessed the accuracy of the typical clinical procedure in which scores were determined immediately on the basis of visual observa..

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University of Melbourne Researchers


Awarded by National Institutes of Health

Funding Acknowledgements

This research was supported by the National Institutes of Health (Grants 5R24HD065688-04 and P20GM109040). Part of this work was presented at the 37th Annual Meeting of the American Society of Biomechanics, Omaha, Nebraska, and the Medical University of South Carolina 2015 Research Day student poster presentation. The authors declare no conflict of interest.