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공지사항
논문명 |
A Framework for Electroencephalogram Process at Real-Time using Brainwave |
논문종류 |
국내 등재지 |
저자 |
Yunsick Sung, Kyungeun Cho, Kyhyun Um |
게재학술지명 |
한국멀티미디어학회논문지 |
게재일 |
2011.09 |
Neurofeedback training using ElectroEncephaloGrams (EEGs) is commonly utilized in the treatment of Alzheimer"s disease, and Attention Deficit Hyperactivity Disorder (ADHD). Recently, BCI (Brain- computer Interface) contents have developed, not for the purpose of treatment, but for concentration improvement or brain relaxation training. However, as each user has different wave forms, it is hard to develop contents controlled by such different wave. Therefore, an EEG process that allows the ability to transform the variety of wave Forms into one standard signal and use it without taking a user"s characteristic of EEG into account, is required. In this paper, a framework that can reduce users" characteristics by nom1ali zing and converting measured EEGs is proposed for contents. This framework also contains the process that controls different brainwave measuring dev ices. In experiment a handling process applying the proposed framework to the developed BCI contents is introduced. |
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