뇌파를 이용한 소셜네트워크 게임의 개발

• 영문명: Design and Implementation of Social Network Game using Electroencephalogram
• 발행기관: 한국컴퓨터게임학회
• 저자명: 김태현(Tae Hyun Kim) 심재연(Jae Youn Shim) 유환수(Hwan Soo Yoo) 김성환(Seong Whan Kim)
• 간행물 정보: 『한국컴퓨터게임학회논문지』제26권 1호, 183~188쪽, 전체 6쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2013.03.30

영문 초록

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.

목차

ABSTRACT

1. 서론

2. 관련 연구

3. 개발 및 디자인

4. 구현

5. 결론

참고문헌

키워드

EEG (Electroencephalogram) BCI (Brain computer interface) SNS (Social Network Service) SNG (Social Network Game)