title: Depth-Sensor-Based Monitoring of Therapeutic Exercises.
abstract: 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.
authors.affiliation: Department of Computes Science and Information Engineering, National Central University, Taoyuan City 32001, Taiwan. muchun@csie.ncu.edu.tw.
authors.forename: Mu-Chun
authors.initials: MC
authors.lastname: Su
authors.affiliation: Department of Computes Science and Information Engineering, National Central University, Taoyuan City 32001, Taiwan. fieldddog@gmail.com.
authors.forename: Jhih-Jie
authors.initials: JJ
authors.lastname: Jhang
authors.affiliation: Department of Computes Science and Information Engineering, National Central University, Taoyuan City 32001, Taiwan. yizeng.hsieh@gmail.com.|Department of Management and Information Technology, Southern Taiwan University of Science and Technology, Tainan City 71005, Taiwan. yizeng.hsieh@gmail.com.
authors.forename: Yi-Zeng
authors.initials: YZ
authors.lastname: Hsieh
authors.affiliation: School of Information Science and Technology, Fudan University, Shanghai 200433, China. yeshiqing@fudan.edu.cn.
authors.forename: Shih-Ching
authors.initials: SC
authors.lastname: Yeh
authors.affiliation: Department of Computes Science and Information Engineering, National Central University, Taoyuan City 32001, Taiwan. yakumolin@gmail.com.
authors.forename: Shih-Chieh
authors.initials: SC
authors.lastname: Lin
authors.affiliation: Department of Rehabilitation, Landseed Hospital, Taoyuan City 324, Taiwan. leesf@landseed.com.tw.
authors.forename: Shu-Fang
authors.initials: SF
authors.lastname: Lee
authors.affiliation: Department of Rehabilitation, Landseed Hospital, Taoyuan City 324, Taiwan. tsengkp@landseed.com.tw.
authors.forename: Kai-Ping
authors.initials: KP
authors.lastname: Tseng
mesh_terms: D000465:Algorithms; D015374:Biosensing Techniques / Q000295:instrumentation*; D016208:Databases, Factual; D005081:Exercise Therapy / Q000295:instrumentation; D005260:Female; D006801:Humans; D008297:Male; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D009038:Motion; D010300:Parkinson Disease / Q000534:rehabilitation; D010363:Pattern Recognition, Automated / Q000379:methods; D011187:Posture
keywords: SOM; motion trajectory; spatial-temporal pattern recognition; therapeutic exercise