Distinguishing the four Directions in Meditation through Linear Disciminant Analysis

• Main Authors: Shi-Ping Shen, 沈世評
• Other Authors: Zong-Mu Yeh
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/58643320855089493712

碩士 === 國立臺灣師範大學 === 機電科技研究所 === 93 === The brain-computer interface (brain-computer interface) is a kind of new technology of utilizing brain signals to communicate with the external world. Its purpose is to help the person who is hindered take action because his neural muscle is damaged. Internal stimuli, such as imaging right-hand, left-hand, and foot moving, have been studied, but imaging four directions in meditation is worth being studied. For this reason, a system is developed, and the EEG of the four directions in meditation is taken as input signals and a fast Fourier analysis is used to find the features of the EEG. Then a linear discriminant analysis is adopted to classify the features. Finally, a set of brain waves, which can distinguish four directions in meditation, is obtained. From the experimental results, it is better to use the data which the accuracy of the classification is the highest in the experiment to be the reference material. The best classification rate in the experiment data is more than 80%. In the future study, the system can be applied to brain-computer interface to benefit neural disease persons or disabled persons.