Depth-Sensor-Based Monitoring of Therapeutic Exercises

Sensors (Basel). 2015 Oct 9;15(10):25628-47. doi: 10.3390/s151025628.

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.

Keywords: SOM; motion trajectory; spatial-temporal pattern recognition; therapeutic exercise.

Publication types

  • Clinical Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Biosensing Techniques / instrumentation*
  • Databases, Factual
  • Exercise Therapy* / instrumentation
  • Female
  • Humans
  • Male
  • Monitoring, Physiologic / instrumentation*
  • Motion
  • Parkinson Disease / rehabilitation
  • Pattern Recognition, Automated / methods
  • Posture