Depth-Sensor-Based Monitoring of Therapeutic Exercises
| Autor: | Yi-Zeng Hsieh, Mu-Chun Su, Shih-Ching Yeh, Kai Ping Tseng, Jhih Jie Jhang, Shih-Chieh Lin, Shu Fang Lee |
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| Rok vydání: | 2015 |
| Předmět: |
Male
Engineering Databases Factual motion trajectory Posture Biosensing Techniques lcsh:Chemical technology Machine learning computer.software_genre Biochemistry Article Pattern Recognition Automated Analytical Chemistry Motion Humans lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation Simulation Monitoring Physiologic therapeutic exercise business.industry Parkinson Disease Exercise therapy Monitoring system SOM spatial-temporal pattern recognition Atomic and Molecular Physics and Optics Exercise Therapy Feature (computer vision) Therapeutic exercise Female Artificial intelligence business computer Algorithms |
| Zdroj: | Sensors, Vol 15, Iss 10, Pp 25628-25647 (2015) Sensors (Basel, Switzerland) Sensors Volume 15 Issue 10 Pages 25628-25647 |
| ISSN: | 1424-8220 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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