Earticle

초록

영어

Computer games are steadily one of major way to enjoy leisure time. Main goal of game entertainment is to keep the player’s immersion. Thus, balance design taking game difficulty into account has an important role in game design. In recent years, a number of studies tried to adaptive difficulty by using various algorithms which detect player dependent difficulty. Most of these algorithms need customizing itself for each game. Measuring features which determine game difficulty is the major problem of these ways of game balancing. But, it can be easy by using the player’s immersion during playing games. And, player’s immersion is detected by analyzing electroencephalogram (EEG) signals. In this paper, we propose a dynamic game difficulty control system, by using this emotion recognition technique with PAD model by using players’ EEG signals during playing a rhythm game which has three different difficulty levels.

목차

Abstract
 1. Introduction
 2. Backgrounds
 3. System Design
 4. Experiment
 5. Results and Discussion
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Sangyong Park [ Chung-Ang University, Republic of Korea ]
• Hanmoi Sim [ Chung-Ang University, Republic of Korea ]
• Wonhyung Lee [ Chung-Ang University, Republic of Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605