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Sensors 2015, 15(10), 25628-25647;

Depth-Sensor-Based Monitoring of Therapeutic Exercises

Department of Computes Science and Information Engineering, National Central University, Taoyuan City 32001, Taiwan
Department of Management and Information Technology, Southern Taiwan University of Science and Technology, Tainan City 71005, Taiwan
School of Information Science and Technology, Fudan University, Shanghai 200433, China
Department of Rehabilitation, Landseed Hospital, Taoyuan City 324, Taiwan
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 21 July 2015 / Revised: 24 September 2015 / Accepted: 30 September 2015 / Published: 9 October 2015
(This article belongs to the Section Physical Sensors)
Full-Text   |   PDF [2018 KB, uploaded 9 October 2015]   |  


In this paper, we propose a self-organizing feature map-based (SOM) monitoring system which is able to evaluate whether the physiotherapeutic exercise performed by a patient matches the corresponding assigned exercise. It allows patients to be able to perform their physiotherapeutic exercises on their own, but their progress during exercises can be monitored. The performance of the proposed the SOM-based monitoring system is tested on a database consisting of 12 different types of physiotherapeutic exercises. An average 98.8% correct rate was achieved. View Full-Text
Keywords: SOM; motion trajectory; spatial-temporal pattern recognition; therapeutic exercise SOM; motion trajectory; spatial-temporal pattern recognition; therapeutic exercise

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Su, M.-C.; Jhang, J.-J.; Hsieh, Y.-Z.; Yeh, S.-C.; Lin, S.-C.; Lee, S.-F.; Tseng, K.-P. Depth-Sensor-Based Monitoring of Therapeutic Exercises. Sensors 2015, 15, 25628-25647.

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