Presentation | 2014-11-21 BCI-based Control of Electric Wheelchairs Nobuaki Kobayashi, Masahiro Nakagawa, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | BCI(Brain-computer Interface) has been attracting attention as an interface to connect the brain to external devices. However, it is essential to establish methods to recognize the brain state accurately in order to implement BCI, and a number of challenges still remain. Here, we suggest a novel BCI system that accurately recognizes and isolates emotions like delight, anger, sorrow, and pleasure using an Emotion Fractal Analysis Method (EFAM), which can quantify emotions based on data obtained by electroencephalography, and control an electric wheelchair using the information. With this method, a high average rate of recognizing emotions (delight, anger, sorrow, and pleasure) of 55-60% and markedly high rate of isolating them of over 97% can be achieved. We developed the BCI circuit to control an electric wheelchair based on data on emotions obtained in real-time by EFAM. Using this circuit, the speed of an electric wheelchair can be adjusted by the intensity of emotions. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Emotional Fractal Analysis Method / Brain-computer Interface(BCI) / Brain-affective Interface(BAI) |
Paper # | MBE2014-59 |
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Committee | MBE |
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Conference Date | 2014/11/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | ME and Bio Cybernetics (MBE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | BCI-based Control of Electric Wheelchairs |
Sub Title (in English) | |
Keyword(1) | Emotional Fractal Analysis Method |
Keyword(2) | Brain-computer Interface(BCI) |
Keyword(3) | Brain-affective Interface(BAI) |
1st Author's Name | Nobuaki Kobayashi |
1st Author's Affiliation | Department of Electrical Engineering, Faculty of Engineering, Nagaoka University of Technology() |
2nd Author's Name | Masahiro Nakagawa |
2nd Author's Affiliation | Department of Electrical Engineering, Faculty of Engineering, Nagaoka University of Technology |
Date | 2014-11-21 |
Paper # | MBE2014-59 |
Volume (vol) | vol.114 |
Number (no) | 325 |
Page | pp.pp.- |
#Pages | 6 |
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