A novel classification method for motor imagery based on wireless brain-computer interface

• Main Authors: Wu, Chun-Wei, 吳駿偉
• Other Authors: Lin, Chin-Teng
• Format: Others
• Language: en_US
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/60167119807465477012

碩士 === 國立交通大學 === 影像與生醫光電研究所 === 101 === Brain computer interface (BCI) is known as a good way to communicate between brain and computer or other device. There are many kinds of physiological signal can operate BCI systems. Motor imagery (MI) has been demonstrated to be a good way to operate a BCI system. In some recent studies about MI based BCI systems, low accuracy rate and time consuming are common problems. In this study, a novel motor imagery algorithm is proposed to improve the accuracy rate and computational efficiency at the same time. This novel algorithm with high accuracy rate and efficiency can be applied to real time BCI system in real-life applications. In addition, this study applies the algorithm on a portable wireless BCI system – Mindo, makes BCI more closer to daily life.