Recognition delay and recognition rate of knee motor intention recognized by electromyogram and continuous hidden Markov model

Hyeong Jin Jeon, Seung-Jong Kim, Yoha Hwang, Changhwan Kim, Jong Min Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A motor rehabilitation robot applied patient's intention can enhance the rehabilitation efficacy. Continuous hidden Markov models of knee flexion and extension are trained using autoregressive model coefficients of knee flexor and extensor electromyograms. The patient's intention of knee movement are recognized by the trained continuous hidden Markov models and the user's knee flexor and extensor electromyograms. The suggested method was applied to a knee joint rehabilitation robot for identifying the suggested classification method in real time. A nondisabled healthy subject wore the robot, and its knee joint was extended when the subject's intention was recognized as 'Extension.' The robot's knee joint was bended when the subject's intention was recognized as 'Flexion'. If the user's intention wasn't recognized as 'Extension' nor 'Flexion', the robot's knee joint was remained stationary. The robot had followed properly the subject's knee joint motor intention. As a result of hidden Markov model classification, the robot reflects the subject's intensions with the recognition delay shorter than 200 msec and the recognition rate of 94.23 %. The results show the suggested method has good potential as a bio-signal classification method for a motor rehabilitation robot.

Original languageEnglish
Title of host publicationInternational Conference on Control, Automation and Systems
PublisherIEEE Computer Society
Pages357-360
Number of pages4
ISBN (Electronic)9788993215069
DOIs
Publication statusPublished - 2014 Dec 16
Externally publishedYes
Event2014 14th International Conference on Control, Automation and Systems, ICCAS 2014 - Gyeonggi-do, Korea, Republic of
Duration: 2014 Oct 222014 Oct 25

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833

Other

Other2014 14th International Conference on Control, Automation and Systems, ICCAS 2014
CountryKorea, Republic of
CityGyeonggi-do
Period14/10/2214/10/25

Keywords

  • Continuous hidden Markov model
  • Electromyogram
  • Knee joint rehabilitation robot
  • Motor intention recognition
  • Recognition delay
  • Recognition rate

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Recognition delay and recognition rate of knee motor intention recognized by electromyogram and continuous hidden Markov model'. Together they form a unique fingerprint.

  • Cite this

    Jeon, H. J., Kim, S-J., Hwang, Y., Kim, C., & Lee, J. M. (2014). Recognition delay and recognition rate of knee motor intention recognized by electromyogram and continuous hidden Markov model. In International Conference on Control, Automation and Systems (pp. 357-360). [6988022] (International Conference on Control, Automation and Systems). IEEE Computer Society. https://doi.org/10.1109/ICCAS.2014.6988022