Because of advent of social network, not only many applications have been introduced but also many relationships have been made newly and rapidly. That one of the biggest factors of being made many relationships is plurality of social network game. Moreover the researches of EEG based game are increasing along with cheaper EEG (electroencephalogram) devices. Through Brain biofeedback training, peoples can gain concentration degrees and postpone Alzheimer's disease which have been became an object of public concern in aging society. In this paper, we proposed SNS-based game using EEG. Using BCI we can understand the degree of user's concentration and it will be used in SNS-based game. Our EEG-based SNS game will be used to postpone Alzheimer's disease and the thanks of nature of SNS, people can be leveraged to using the game to compete to others.

ABSTRACT   1. 서론   2. 관련 연구    2.1 Electroencephalogram    2.2 Brain computer interface    2.3 집중도 측정    2.4 BCI기반의 기능성 연구    2.5 Social Network Game   3. 개발 및 디자인    3.1 시스템 구성    3.2 EEG Device    3.3 Game    3.4 Game Server   4. 구현   5. 결론   감사의 글   참고문헌

• 김태현(서울시립대학교 컴퓨터과학부 박사과정) | Tae-Hyun Kim
• 심재연(서울시립대학교 컴퓨터과학부 석 박사과정) | Jae-Youn Shim
• 유환수(서울시립대학교 컴퓨터과학부 박사 수료) | Hwan-Soo Yoo
• 김성환(서울시립대학교 컴퓨터공학부 부교수) | Seong-Whan Kim Correspondence to