Depth-sensor-based monitoring of therapeutic exercises

Mu Chun Su, Jhih Jie Jhang, Yi Zeng Hsieh, Shih Ching Yeh, Shih Chieh Lin, Shu Fang Lee, Kai Ping Tseng

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


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.

Original languageEnglish
Pages (from-to)25628-25647
Number of pages20
JournalSensors (Switzerland)
Issue number10
StatePublished - 9 Oct 2015


  • Motion trajectory
  • SOM
  • Spatial-temporal pattern recognition
  • Therapeutic exercise


Dive into the research topics of 'Depth-sensor-based monitoring of therapeutic exercises'. Together they form a unique fingerprint.

Cite this