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Volumn , Issue , 2012, Pages 297-298

GamEMO: How physiological signals show your emotions and enhance your game experience

Author keywords

Affective computing; Classification; Emotion assessment; Games; Pattern recognition; Physiological signal processing

Indexed keywords

AFFECTIVE COMPUTING; EMOTION ASSESSMENT; EMOTIONAL STATE; EXPERIMENTAL PROTOCOLS; FEATURE EXTRACTION AND CLASSIFICATION; GAME EXPERIENCE; GAMES; PHYSIOLOGICAL SIGNALS; TETRIS GAME;

EID: 84870153619     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2388676.2388738     Document Type: Conference Paper
Times cited : (6)

References (8)
  • 5
    • 10244240638 scopus 로고    scopus 로고
    • Using noninvasive wearable computers to recognize human emotions from physiological signals
    • Lisetti, C. L. and Nasoz, F. 2004. Using noninvasive wearable computers to recognize human emotions from physiological signals. J. Appl. Signal. Process. no. 11. pp. 1672-1687.
    • (2004) J. Appl. Signal. Process. , Issue.11 , pp. 1672-1687
    • Lisetti, C.L.1    Nasoz, F.2
  • 6
    • 70449561526 scopus 로고    scopus 로고
    • Dynamic difficulty adjustment in computer games throughh real anxiety-based affective feedback
    • Liu, C., Agrawal, P., Sarkar, N. and Chen, S., 2009 . Dynamic Difficulty Adjustment in Computer Games Throughh Real Anxiety-Based Affective Feedback. Intil. Journal Of Human-Computer Interaction. vol. 25. pp. 506- 529.
    • (2009) Intil. Journal of Human-Computer Interaction , vol.25 , pp. 506-529
    • Liu, C.1    Agrawal, P.2    Sarkar, N.3    Chen, S.4
  • 8
    • 33744758706 scopus 로고    scopus 로고
    • An empirical study of machine learning techniques for affect recognition in human-robot interaction
    • Rani, P., Liu, C., Sarkar, N. and Vanman, E. 2006. An empirical study of machine learning techniques for affect recognition in human-robot interaction. Pattern Anal. Appl. vol. 9. pp. 58-69.
    • (2006) Pattern Anal. Appl. , vol.9 , pp. 58-69
    • Rani, P.1    Liu, C.2    Sarkar, N.3    Vanman, E.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.