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Authors: Kazuo Kiguchi 1 and Yoshiaki Hayashi 2

Affiliations: 1 Kyushu University, Japan ; 2 Saga University, Japan

Keyword(s): Motion Estimation, EEG Signals, EMG Signals.

Related Ontology Subjects/Areas/Topics: Human-Robots Interfaces ; Informatics in Control, Automation and Robotics ; Robotics and Automation

Abstract: A surface EMG signal is one of the most widely used signals as input signals for wearable robots. However, EMG signals are not always available to all users. On the other hand, an EEG signal has drawn attention as input signals for those robots in recent years. However, the EEG signal does not have straightforward relationships with the corresponding brain part. Therefore, it is more difficult to find the required signals for the control of the robot in accordance with the user’s motion intention using the EEG signals compared with that using the EMG signals. In this paper, both the EMG and EEG signals are used to estimate the user’s motion intention. The EMG signals are used as main input signals because the EMG signals have higher relative to the motion of a user. The EEG signals are used as sub signals in order to cover the estimation of the user’s motion intention when all required EMG signals cannot be measured. The effectiveness of the proposed method has been evaluated by perf orming experiments. (More)

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Paper citation in several formats:
Kiguchi, K. and Hayashi, Y. (2013). Estimation of User’s Motion Intention of Hand based on Both EMG and EEG Signals. In Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-8565-71-6; ISSN 2184-2809, SciTePress, pages 447-452. DOI: 10.5220/0004590604470452

@conference{icinco13,
author={Kazuo Kiguchi. and Yoshiaki Hayashi.},
title={Estimation of User’s Motion Intention of Hand based on Both EMG and EEG Signals},
booktitle={Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2013},
pages={447-452},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004590604470452},
isbn={978-989-8565-71-6},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Estimation of User’s Motion Intention of Hand based on Both EMG and EEG Signals
SN - 978-989-8565-71-6
IS - 2184-2809
AU - Kiguchi, K.
AU - Hayashi, Y.
PY - 2013
SP - 447
EP - 452
DO - 10.5220/0004590604470452
PB - SciTePress

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