Motion estimation based on EMG and EEG signals to control wearable robots

Kazuo Kiguchi, Yoshiaki Hayashi

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

12 Citations (Scopus)

Abstract

An EMG signal shows almost one-to-one relationship with the corresponding muscle. Therefore, each joint motion can be estimated relatively easily based on the EMG signals to control wearable robots. However, necessary EMG signals are not always able to be measured with every user. On the other hand, an EEG signal is one of the strongest candidates for the additional input signals to control wearable robots. Since the EEG signals are available with almost all people, an EEG based method can be applicable to many users. However, it is more difficult to estimate the user's motion intention based on the EEG signals compared with the EMG signals. In this paper, a user's motion estimation method is proposed to control the wearable robots based on the user's motion intention. In the proposed method, the motion intention of the user is estimated based on the user's EMG and EEG signals. The EMG signals are used as main input signals because the EMG signals have higher correlation with the motion. Furthermore, the EEG signals are used to estimate the part of the motion which is not able to be estimated based on EMG signals because of the muscle unavailability.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
Pages4213-4218
Number of pages6
DOIs
Publication statusPublished - Dec 1 2013
Event2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 - Manchester, United Kingdom
Duration: Oct 13 2013Oct 16 2013

Publication series

NameProceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013

Other

Other2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
CountryUnited Kingdom
CityManchester
Period10/13/1310/16/13

Fingerprint

Motion estimation
Electroencephalography
Robots
Muscle

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction

Cite this

Kiguchi, K., & Hayashi, Y. (2013). Motion estimation based on EMG and EEG signals to control wearable robots. In Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 (pp. 4213-4218). [6722471] (Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013). https://doi.org/10.1109/SMC.2013.718

Motion estimation based on EMG and EEG signals to control wearable robots. / Kiguchi, Kazuo; Hayashi, Yoshiaki.

Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013. 2013. p. 4213-4218 6722471 (Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013).

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

Kiguchi, K & Hayashi, Y 2013, Motion estimation based on EMG and EEG signals to control wearable robots. in Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013., 6722471, Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, pp. 4213-4218, 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, Manchester, United Kingdom, 10/13/13. https://doi.org/10.1109/SMC.2013.718
Kiguchi K, Hayashi Y. Motion estimation based on EMG and EEG signals to control wearable robots. In Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013. 2013. p. 4213-4218. 6722471. (Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013). https://doi.org/10.1109/SMC.2013.718
Kiguchi, Kazuo ; Hayashi, Yoshiaki. / Motion estimation based on EMG and EEG signals to control wearable robots. Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013. 2013. pp. 4213-4218 (Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013).
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