| 研究実績の概要 |
A Brain Machine Interface (BMI) system that integrates an Android robot was sucessfully developed. The android robot provided realistic visual feedback to the user so that he/she could concentrate better and modulate his/her brain activity. A new training protocol that addresses the deficiencies of the classical approach and takes advantage of body-abled user capabilities was proposed. Experimental results suggest that android feedback based BCI training improves the modulation of sensorimotor rhythms during motor imagery task. Moreover, we discovered that the influence of body ownership transfer illusion towards the android induced thrhough a haptic interface might have an effect in the modulation of event related desynchronization/synchronization (ERD/ERS) activity.
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