The Interpretation System of the Brain Wave(EEG) by Artificial Neural Network and Pattern Recognition

• Main Authors: Ching-Hao Liu, 劉景浩
• Other Authors: 張榮森
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/tx7y57

碩士 === 國立中央大學 === 照明與顯示科技研究所 === 106 === This study based on two major technologies: Artificial Neural netw-ork and pattern recognition. By using these technologies, we can analyze, interpret, and learn brainwave signals; furthermore, interpret the subject's thoughts. At first, the study measured with a high-precision electroencep-halogram OpenBCI and captured eight wavebands of physiological brain-wave signals. Then we use Google's open source API-Teachable Machine to train the system recognizing brainwave pattern. After learning, it can n-ot only distinguish between focused and relaxed from the subject's mental state, but also distinguish between left and right from the subject's thinki-ng. This research result can be regarded as a major development in the in-terpretation of brain science.