Intention recognition method for sit-to-stand and stand-to-sit from electromyogram signals for overground lower-limb rehabilitation robots

Sang Hun Chung, Jong Min Lee, Seung-Jong Kim, Yoha Hwang, Jinung An

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

2 Citations (Scopus)

Abstract

This paper presents a framework for classifying sit-to-stand and stand-to-sit from just two channel EMG signals taken from the left leg. Our proposed framework uses linear discriminant analysis (LDA) as the classifier and a multi-window feature extraction approach termed Consecutive Time-Windowed Feature Extraction (CTFE). We present the prelimnary results from 2 healthy subjects as a proof of concept. With the two tested subjects, we got predictive accuracies above 90%. The results show promise for a framework capable of recognizing the user's intention of sit-to-stand and stand-to-sit. Potential applications include rehabilitation robots for hemiparesis patients and exoskeleton control.

Original languageEnglish
Title of host publicationAIM 2015 - 2015 IEEE/ASME International Conference on Advanced Intelligent Mechatronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages418-421
Number of pages4
ISBN (Electronic)9781467391078
DOIs
Publication statusPublished - 2015 Aug 25
Externally publishedYes
EventIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2015 - Busan, Korea, Republic of
Duration: 2015 Jul 72015 Jul 11

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume2015-August

Other

OtherIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2015
CountryKorea, Republic of
CityBusan
Period15/7/715/7/11

Fingerprint

Patient rehabilitation
Robots
Feature extraction
Discriminant analysis
Classifiers

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Chung, S. H., Lee, J. M., Kim, S-J., Hwang, Y., & An, J. (2015). Intention recognition method for sit-to-stand and stand-to-sit from electromyogram signals for overground lower-limb rehabilitation robots. In AIM 2015 - 2015 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (pp. 418-421). [7222568] (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM; Vol. 2015-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AIM.2015.7222568

Intention recognition method for sit-to-stand and stand-to-sit from electromyogram signals for overground lower-limb rehabilitation robots. / Chung, Sang Hun; Lee, Jong Min; Kim, Seung-Jong; Hwang, Yoha; An, Jinung.

AIM 2015 - 2015 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Institute of Electrical and Electronics Engineers Inc., 2015. p. 418-421 7222568 (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM; Vol. 2015-August).

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

Chung, SH, Lee, JM, Kim, S-J, Hwang, Y & An, J 2015, Intention recognition method for sit-to-stand and stand-to-sit from electromyogram signals for overground lower-limb rehabilitation robots. in AIM 2015 - 2015 IEEE/ASME International Conference on Advanced Intelligent Mechatronics., 7222568, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, vol. 2015-August, Institute of Electrical and Electronics Engineers Inc., pp. 418-421, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2015, Busan, Korea, Republic of, 15/7/7. https://doi.org/10.1109/AIM.2015.7222568
Chung SH, Lee JM, Kim S-J, Hwang Y, An J. Intention recognition method for sit-to-stand and stand-to-sit from electromyogram signals for overground lower-limb rehabilitation robots. In AIM 2015 - 2015 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Institute of Electrical and Electronics Engineers Inc. 2015. p. 418-421. 7222568. (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM). https://doi.org/10.1109/AIM.2015.7222568
Chung, Sang Hun ; Lee, Jong Min ; Kim, Seung-Jong ; Hwang, Yoha ; An, Jinung. / Intention recognition method for sit-to-stand and stand-to-sit from electromyogram signals for overground lower-limb rehabilitation robots. AIM 2015 - 2015 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 418-421 (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM).
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