Single-trial analysis of readiness potentials for lower limb exoskeleton control

Ji Hoon Jeong, Min Ho Lee, No Sang Kwak, Seong Whan Lee

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

3 Citations (Scopus)

Abstract

Bran-machine interface (BMI) can be used for controlling of external devices such as the exoskeleton, robot arm, etc. For efficient communication between a user and machine, fast and accurate detection of user intention is important elements in the BMI application. For this reason, readiness potential (RP) is a useful feature that is possible to detect movement intention before the movement onset. To our knowledge, however, the analysis of single-Trial RP component has not been sufficiently investigated in the real-world application (e.g. powered exoskeleton or robot arm). In our study, we first validate a single-Trial RP performance in the lower limb exoskeleton environment where the user allows for voluntary walking. The experiments are executed in the two different walking conditions which are normal and exoskeleton walking. The Laplacian and common average reference (CAR) filters are applied to reduce spatial noise and regularized linear discriminant analysis (RLDA) is used as a classifier. Our results show the averaged classification accuracy of80.7% for 5 subjects. This study demonstrates a feasibility of RP-based BMI system for controlling of a lower limb exoskeleton.

Original languageEnglish
Title of host publication5th International Winter Conference on Brain-Computer Interface, BCI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages50-52
Number of pages3
ISBN (Electronic)9781509050963
DOIs
Publication statusPublished - 2017 Feb 16
Event5th International Winter Conference on Brain-Computer Interface, BCI 2017 - Gangwon Province, Korea, Republic of
Duration: 2017 Jan 92017 Jan 11

Other

Other5th International Winter Conference on Brain-Computer Interface, BCI 2017
CountryKorea, Republic of
CityGangwon Province
Period17/1/917/1/11

Fingerprint

Robots
Discriminant analysis
Classifiers
Communication
Experiments
Exoskeleton (Robotics)

Keywords

  • Brain-machine interface
  • Lower limb exoskeleton
  • Readiness potential
  • Single-Trial analysis

ASJC Scopus subject areas

  • Signal Processing
  • Human-Computer Interaction

Cite this

Jeong, J. H., Lee, M. H., Kwak, N. S., & Lee, S. W. (2017). Single-trial analysis of readiness potentials for lower limb exoskeleton control. In 5th International Winter Conference on Brain-Computer Interface, BCI 2017 (pp. 50-52). [7858156] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWW-BCI.2017.7858156

Single-trial analysis of readiness potentials for lower limb exoskeleton control. / Jeong, Ji Hoon; Lee, Min Ho; Kwak, No Sang; Lee, Seong Whan.

5th International Winter Conference on Brain-Computer Interface, BCI 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 50-52 7858156.

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

Jeong, JH, Lee, MH, Kwak, NS & Lee, SW 2017, Single-trial analysis of readiness potentials for lower limb exoskeleton control. in 5th International Winter Conference on Brain-Computer Interface, BCI 2017., 7858156, Institute of Electrical and Electronics Engineers Inc., pp. 50-52, 5th International Winter Conference on Brain-Computer Interface, BCI 2017, Gangwon Province, Korea, Republic of, 17/1/9. https://doi.org/10.1109/IWW-BCI.2017.7858156
Jeong JH, Lee MH, Kwak NS, Lee SW. Single-trial analysis of readiness potentials for lower limb exoskeleton control. In 5th International Winter Conference on Brain-Computer Interface, BCI 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 50-52. 7858156 https://doi.org/10.1109/IWW-BCI.2017.7858156
Jeong, Ji Hoon ; Lee, Min Ho ; Kwak, No Sang ; Lee, Seong Whan. / Single-trial analysis of readiness potentials for lower limb exoskeleton control. 5th International Winter Conference on Brain-Computer Interface, BCI 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 50-52
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