| Summary: | 碩士 === 國立臺南大學 === 資訊教育研究所碩士班 === 94 === This research developed the tools of the Brain-Computer Interface, and enable the experimenters to control the upper and lower movements of the cursor through dealing with, analysing and distinguishing brain wave signals.Besides system, this research compared with different movements too (move the right hand thumb, hold the right fist and lift the arm) with Statistical analysis, Event-related desynchronization , the accuracy.he developed Research tool have the online system ,the offline system , the preprocessing system, and cursor control system We collect move right hand thumb, hold right fist and lift arm respectively 5 times, used for the offline analysing. The movement way were keep pushing down the thumb ,clenching fist or raising one''s hand, but not repeated movements. Cursor control system use μ activity to control the cussor movement. The process have Fouier transformation , Laplacian operation , and Artificial Neural Network algorithm. The significant frequencies of three movement ways have 11Hz, 12Hz , 13Hz,14Hz,22Hz, 23Hz, 24Hz.These frequencies were in Frequency band of μ activity (8- 13Hz),and β activity (18∼26Hz). All of three movement ways seen the Event-related desynchronization of activity (-50%). moving the thumb and clenching fist control easier than moving the arm. The accuracy was better. This research showed that three movement ways have Event-related desynchronization of μ activity after moving .the Event-related desynchronization of μ activity could use to Brain-Computer Interface
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