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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/106575


    題名: Depth-sensor-based monitoring of therapeutic exercises
    作者: 葉士青;Su, Mu-Chun;Jhang, Jhih-Jie;Hsieh, Yi-Zeng;Yeh, Shih-Ching;Lin, Shih-Chieh;Lee, Shu-Fang;Tseng, Kai-Ping
    貢獻者: 資訊電機學院資訊工程學系
    關鍵詞: Algorithms;Biosensing Techniques - instrumentation;Databases, Factual;Electronic mail systems;Exercise Therapy - instrumentation;Female;Humans;Male;Monitoring;Monitoring systems;Monitoring, Physiologic - instrumentation;Motion;Motion capture;motion trajectory;Neural networks;Parkinson Disease - rehabilitation;Patients;Pattern recognition;Pattern Recognition, Automated - methods;Physical therapists;Posture;Probability distribution;Sensors;SOM;spatial-temporal pattern recognition;therapeutic exercise;Voice recognition
    日期: 2015-10-09
    上傳時間: 2026-04-23 13:29:13 (UTC+8)
    出版者: MDPI Multidisciplinary Digital Publishing Institute;Switzerland: MDPI AG
    摘要: 摘要: 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.
    其他題名: Sensors (Basel)
    出版者: Switzerland: MDPI AG
    出版日期: 2015-10-09
    出處: Sensors (Basel, Switzerland), 2015-10, Vol.15 (10), p.25628-25647
    資源來源: Publicly available content database
    版權: Copyright MDPI AG 2015
    版權: 2015 by the authors; licensee MDPI, Basel, Switzerland. 2015
    識別號: ISSN: 1424-8220
    識別號: EISSN: 1424-8220
    識別號: DOI: 10.3390/s151025628
    識別號: PMID: 26473857
    顯示於類別:[資訊工程學系] 期刊論文

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