Paper Abstract and Keywords |
Presentation |
2014-11-21 10:20
Classification of finger movements using EEG Ryutaro Okushita, Natsue Yoshimura, Hiroyuki Kambara, Duk Shin, Abdelkader Nasreddine Belkacem, Yasuharu Koike (Tokyo Inst. Tech.) NC2014-25 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently, It has been reported that classification the behavior and motor images, such as the wrist movements by using the brain activity. However, It had not been reported classified in the strength of the forces and finger movements from electroencephalogram (EEG). In this study, It was confirmed that it can be classified with finger flexion and extension, high force and low force using estimated cortex signal source current from EEG. Cortex signal source current was estimated at primary motor cortex, premotor cortex, supplementary motor area by using the brain data of EEG and nuclear Magnetic Resonance Imaging (MRI), Variational Bayesian Multimodal Encephalography (VBMEG). Furthermore, it was confirmed that high classification rate is achieved by using the frequency spectrum of the waveform since the firing rate of neurons varies with movements. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Brain computer interface(BCI) / Electroencephalogram (EEG) / Magnetic Resonance Imaging (MRI) / Finger / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 326, NC2014-25, pp. 1-6, Nov. 2014. |
Paper # |
NC2014-25 |
Date of Issue |
2014-11-14 (NC) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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NC2014-25 |
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