The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2018
Session ID : 1A1-E11
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Study on Identification of Motion through Electroencephalogram
- Improvement of identification accuracy by increasing number of electrodes for independent component analysis -
*Sho SATOMinato TAJIMAChiharu ISHII
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

In this paper, in order to enhance the identification accuracy of grasping behavior via electroencephalogram (EEG), we attempted to solve the problem of indeterminacy of the estimated EEG, which is a drawback of independent component analysis (ICA) used to restore the EEG before mixture from the measured EEG, and we also attempted to increase the number of electrodes for EEG measurement. Specifically, the separating matrix in ICA was determined in advance through preliminary experiments and was fixed uniquely, and the number of electrodes was increased from 2 to 6. Then, identification experiments were conducted, in which existence or nonexistence of the grasping behavior and right grasping or left grasping were identified. As a result of the experiments, the identification accuracy was improved. Thus, the validity of fixing the separating matrix and increasing the number of electrodes was verified.

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© 2018 The Japan Society of Mechanical Engineers
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