The Brain Wave Signals with Eye Movement Command based on Back-Propagation Artificial Neural Network Approach for Real-time Simulation System

• Main Authors: Jia-ching Li, 李嘉清
• Other Authors: Chin-I Huang
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/11864652067073076867

碩士 === 國立高雄第一科技大學 === 系統資訊與控制研究所 === 101 === The brainwave application is far and wide. During this decade, there are more and more progresses and achievements shown in the industry. However, We hope to probe into auxiliary equipment, which is portable and compatible with certain operating system. The computer interface is specifically designed for those patients, who have problems for manipulating computers with their hands and communicating with others. Therefore, We attempt to develop a highly stable and transmitting interface that integrates the neuroscience, signal processing, and control theory. The EEG headset catches the brainwave signals of the users with their motor areas of brain. The brainwave computer interface based on back-propagation neural network(BPN) to select the behaviours of eyes movements such as up, down, left, and right motions. The figuring out the characteristic signals of eye movement, is up to 70%. The interface of brain computer combines with simulation system. In order to prove the BPN model can certainly classify the signals of eye movement. Moreover, the brain waves can be replaced by the mouse, keyboard, and the application of simulation system. In the future, the improved BPN will search for more signals of eye movement and raise its successful rate and stability.