뇌파를 이용한 소셜네트워크 게임의 개발
(주)코리아스칼라
- 최초 등록일
- 2023.04.05
- 최종 저작일
- 2013.03
- 6페이지/ 어도비 PDF
- 가격 4,000원
* 본 문서는 배포용으로 복사 및 편집이 불가합니다.
서지정보
ㆍ발행기관 : 한국컴퓨터게임학회
ㆍ수록지정보 : 한국컴퓨터게임학회 논문지 / 26권 / 1호
ㆍ저자명 : 김태현, 심재연, 유환수, 김성환
목차
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
영어 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.
참고 자료
없음
"한국컴퓨터게임학회 논문지"의 다른 논문
더보기 (5/10)