Presentation 2013-05-26
Electroencephalogram Frequency Analysis on Pseudo-Haptic for Skill Learning
Keijiro SAKAGAMI, Yuki SETO, Shunpei AKO, Hirokazu MIURA, Noriyuki MATSUDA, Hirokazu TAKI,
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Abstract(in English) This paper describes the brain states of haptic and pseudo-haptic recognition in the skill learning supporting system. It is difficult to evaluate human cognition of haptic state only from the observation of human behavior. Therefore, to measure the biological signal of the brain, we have used electroencephalogram. We have evaluated the brain activity in the sensing tasks in order to make a comparison among the several states of the sensing of pseudo-haptic.
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Keyword(in English) Pseudo-Haptic / Brain-Machine Interface / Electroencephalogram / Principal Component Analysis / Neural Network
Paper # ET2013-8
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Committee ET
Conference Date 2013/5/19(1days)
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Registration To Educational Technology (ET)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Electroencephalogram Frequency Analysis on Pseudo-Haptic for Skill Learning
Sub Title (in English)
Keyword(1) Pseudo-Haptic
Keyword(2) Brain-Machine Interface
Keyword(3) Electroencephalogram
Keyword(4) Principal Component Analysis
Keyword(5) Neural Network
1st Author's Name Keijiro SAKAGAMI
1st Author's Affiliation Graduate School of Systems Engineering, Wakayama University()
2nd Author's Name Yuki SETO
2nd Author's Affiliation Graduate School of Systems Engineering, Wakayama University
3rd Author's Name Shunpei AKO
3rd Author's Affiliation Graduate School of Systems Engineering, Wakayama University
4th Author's Name Hirokazu MIURA
4th Author's Affiliation Faculty of Systems Engineering, Wakayama University
5th Author's Name Noriyuki MATSUDA
5th Author's Affiliation Faculty of Systems Engineering, Wakayama University
6th Author's Name Hirokazu TAKI
6th Author's Affiliation Faculty of Systems Engineering, Wakayama University
Date 2013-05-26
Paper # ET2013-8
Volume (vol) vol.113
Number (no) 67
Page pp.pp.-
#Pages 4
Date of Issue