| Summary: | 碩士 === 逢甲大學 === 自動控制工程所 === 96 === Some diseases will break the interconnection between brain and muscles then result in the inconvenience of patient’s daily life. Brain-computer Interface is to provide an access for those seriously handicapped to control computer or other assisting apparatus by their own will. However, EEG signals are weak and complicated, and how to induce by specific events and capture signal at the right moment will be the key factor in developing BCI system. This research is to capture event-related P300 Potentials and analyze with support vector machine, then a system combined with vision and consciousness events for P300 Potentials is designed. The experimental result showed that P300 potentials are successfully induced and recognized, and the relation between iterative number and accuracy is also discussed. We deeply hope the result of this research will be a great help in developing BCI system and benefit more handicapped patient suffered from diseases or accidents.
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