Apply Brainwaves to Robot System with Automatic Traking and Obstacle Avoidance

• Main Authors: YANG,HUI-WEN, 楊惠文
• Other Authors: SUN,KOUN-TEM
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/852au6

碩士 === 國立臺南大學 === 數位學習科技學系碩博士班 === 104 === Recent studies have shown good results in brainwave control system based on the N200 potentials and the P300 potentials of event-related potentials (ERPs). In this study, the N2P3 component of event-related potentials is used to develop a brainwave-controlled automatic tracking and the obstacle avoidance robot system. In the robot system, this study used PID control theory and decision-tree obstacle avoidance algorithm for automatic tracking and obstacle avoidance function. In the brainwave control system, we choose the electrode point O1 of 10-20 system to collect EEG data. The experimental results show the significant differences between target andnon-target, among N200, P300 and N2P3 of the event-related potentials. The results prove that the significant differences of N2P3 is higher than that of the N200 or P300. This new component of ERPs used in our research, and then generated a faster brainwave control system. Twenty subjects voluntarily attend the experiment. The system’s averaged correct rate is 83.4% which confirms the value of brainwave control system for providing severe physical disabilities as a assistive devices. The cooperative approaches between robot and brainwave control is feasible and verified in the research.