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Volumn 2, Issue 1, 2012, Pages 1-26

Affect recognition based on physiological changes during the watching of music videos

Author keywords

Affective computing; EEG; Emotion classification; Pattern classification; Physiological signals; Signal processing

Indexed keywords

CLASSIFICATION (OF INFORMATION); ELECTROENCEPHALOGRAPHY; PATTERN RECOGNITION; PHYSIOLOGY; SIGNAL PROCESSING; SPEECH RECOGNITION; VIDEO CAMERAS;

EID: 84983569154     PISSN: 21606455     EISSN: 21606463     Source Type: Journal    
DOI: 10.1145/2133366.2133373     Document Type: Article
Times cited : (40)

References (51)
  • 1
    • 4344603789 scopus 로고    scopus 로고
    • Analysis ofevoked EEG synchronization and desynchronization in conditions of emotional activation in humans: Temporal and topographic characteristics
    • AFTANAS, L., REVA, N., VARLAMOV, A., PAVLOV, S., AND MAKHNEV, V. 2004. Analysis ofevoked EEG synchronization and desynchronization in conditions of emotional activation in humans: Temporal and topographic characteristics. Neurosci. Behav. Physiol. 34, 8, 859-867..
    • (2004) Neurosci. Behav. Physiol. , vol.34 , Issue.8 , pp. 859-867
    • Aftanas, L.1    Reva, N.2    Varlamov, A.3    Pavlov, S.4    Makhnev, V.5
  • 2
    • 0001384773 scopus 로고    scopus 로고
    • Time-Frequency analysis of electroen-cephalogram series. III. Wavelet packets and information cost function
    • BLANCO, S., FIGLIOLA, A., QUIROGA, R., ROSSO, O., AND SERRANO, E. 1998. Time-Frequency analysis of electroen-cephalogram series. III. Wavelet packets and information cost function. Phys. Rev. E 57, 1, 932-940..
    • (1998) Phys. Rev. e , vol.57 , Issue.1 , pp. 932-940
    • Blanco, S.1    Figliola, A.2    Quiroga, R.3    Rosso, O.4    Serrano, E.5
  • 5
    • 2342531081 scopus 로고    scopus 로고
    • Frontal EEG asymmetry as a moderator and mediator of emotion
    • COAN, J. AND ALLEN, J. 2004. Frontal EEG asymmetry as a moderator and mediator of emotion. Biol. Psychol. 67, 1-2, 7-50..
    • (2004) Biol. Psychol. , vol.67 , Issue.1-2 , pp. 7-50
    • Coan, J.1    Allen, J.2
  • 9
    • 0020518550 scopus 로고
    • Autonomic nervous system activity distinguishes among emotions
    • EKMAN, P., LEVENSON, R. W., AND FRIESEN, W. V. 1983. Autonomic nervous system activity distinguishes among emotions. Sci. 221, 1208-1210..
    • (1983) Sci. , vol.221 , pp. 1208-1210
    • Ekman, P.1    Levenson, R.W.2    Friesen, W.V.3
  • 10
    • 21544458365 scopus 로고    scopus 로고
    • Emotion recognition in human-computer interaction
    • FRAGOPANAGOS, N. AND TAYLOR, J. 2005. Emotion recognition in human-computer interaction. Neural Netw. 18, 4, 389-405..
    • (2005) Neural Netw. , vol.18 , Issue.4 , pp. 389-405
    • Fragopanagos, N.1    Taylor, J.2
  • 13
    • 13144279345 scopus 로고    scopus 로고
    • Affective video content representation and modeling
    • HANJALIC, A. AND XU, L. 2005. Affective video content representation and modeling. IEEE Trans. Multimedia 7, 1, 143-154..
    • (2005) IEEE Trans. Multimedia , vol.7 , Issue.1 , pp. 143-154
    • Hanjalic, A.1    Xu, L.2
  • 16
    • 34548206204 scopus 로고    scopus 로고
    • Multimodal human-computer interaction: A survey
    • JAIMES, A. AND SEBE, N. 2007. Multimodal human-computer interaction: A survey. Comput. Vis. Image Under-stand. 108, 1-2, 116-134..
    • (2007) Comput. Vis. Image Under-stand. , vol.108 , Issue.1-2 , pp. 116-134
    • Jaimes, A.1    Sebe, N.2
  • 17
    • 56649124649 scopus 로고    scopus 로고
    • Emotion recognition based on physiological changes in music listening
    • KIM, J. AND ANDRÉ, E. 2008. Emotion recognition based on physiological changes in music listening. IEEE Trans. Pattern Anal. Mach. Intell. 30, 12, 2067-2083..
    • (2008) IEEE Trans. Pattern Anal. Mach. Intell. , vol.30 , Issue.12 , pp. 2067-2083
    • Kim, J.1    André, E.2
  • 18
    • 2942731250 scopus 로고    scopus 로고
    • Emotion recognition system using short-term monitoring ofphysiological signals
    • KIM, K., BANG, S., AND KIM, S. 2004. Emotion recognition system using short-term monitoring ofphysiological signals. Med. Biol. Engin. Comput. 42, 3, 419-427..
    • (2004) Med. Biol. Engin. Comput. , vol.42 , Issue.3 , pp. 419-427
    • Kim, K.1    Bang, S.2    Kim, S.3
  • 20
    • 0030737684 scopus 로고    scopus 로고
    • Time-frequency analysis reveals multiple functional components during oddball P300
    • KOLEV, V., DEMIRALP, T., YORDANOVA, J., ADEMOGLU, A., AND ISOGLU-ALKAÇ, Ü. 1997. Time-frequency analysis reveals multiple functional components during oddball P300. NeuroRep. 8, 8, 2061-2065..
    • (1997) NeuroRep. , vol.8 , Issue.8 , pp. 2061-2065
    • Kolev, V.1    Demiralp, T.2    Yordanova, J.3    Ademoglu, A.4    Isoglu-Alkaç, Ü.5
  • 21
    • 0030180211 scopus 로고    scopus 로고
    • Frequency characteristics of EEG spectra in the emotions
    • KOSTYUNINA, M. AND KULIKOV, M. 1996. Frequency characteristics of EEG spectra in the emotions. Neurosci. Behav. Physiol. 26, 4, 340-343..
    • (1996) Neurosci. Behav. Physiol. , vol.26 , Issue.4 , pp. 340-343
    • Kostyunina, M.1    Kulikov, M.2
  • 22
    • 0034716956 scopus 로고    scopus 로고
    • Relative electroencephalographic desynchronization and synchronization in humans to emotional film content: An analysis of the 4-6, 6-8 8-10 and 10-12 Hz frequency bands
    • KRAUSE, C., VIEMERÖ, V., ROSENQVIST, A., SILLANMÄKI, L., AND ASTRÖM, T. 2000. Relative electroencephalographic desynchronization and synchronization in humans to emotional film content: An analysis of the 4-6, 6-8, 8-10 and 10-12 Hz frequency bands. Neurosci. Lett. 286, 1, 9-12..
    • (2000) Neurosci. Lett. , vol.286 , Issue.1 , pp. 9-12
    • Krause, C.1    Viemerö, V.2    Rosenqvist, A.3    Sillanmäki, L.4    Aström, T.5
  • 23
    • 0029304079 scopus 로고
    • The emotion prob: Studies of motivation and attention
    • LANG, P. 1995. The emotion prob: Studies of motivation and attention.Amer. Psychol. 50, 5, 372-385..
    • (1995) Amer Psychol. , vol.50 , Issue.5 , pp. 372-385
    • Lang, P.1
  • 25
    • 0027523286 scopus 로고
    • Looking at pictures- affective, facial, visceral, and behavioral reactions
    • LANG, P., GREENWALD, M., BRADELEY, M., AND HAMM, A. 1993. Looking at pictures- affective, facial, visceral, and behavioral reactions. Psychophysiol. 30, 3, 261-273..
    • (1993) Psychophysiol. , vol.30 , Issue.3 , pp. 261-273
    • Lang, P.1    Greenwald, M.2    Bradeley, M.3    Hamm, A.4
  • 27
    • 10244240638 scopus 로고    scopus 로고
    • Using noninvasive wearable computers to recognize human emotions from physiologicalsignals
    • LISETTI, C. L. AND NASOZ, F 2004. Using noninvasive wearable computers to recognize human emotions from physiologicalsignals.EURASIPJ.Appl. SignalProcess., 1, 1672-1687..
    • (2004) EURASIPJ.Appl SignalProcess. , vol.1 , pp. 1672-1687
    • Lisetti, C.L.1    Nasoz, F.2
  • 28
    • 0022236138 scopus 로고
    • Relationship of skin temperature changes to the emotions accompanying music
    • MCFARLAND, R. A. 1985. Relationship of skin temperature changes to the emotions accompanying music. Biofeedback Self-Regul. 10, 3, 255-267..
    • (1985) Biofeedback Self-Regul. , vol.10 , Issue.3 , pp. 255-267
    • McFarland, R.A.1
  • 29
    • 0000596361 scopus 로고
    • Note on the sampling error of the difference between correlated proportions or percentages
    • MCNEMAR, E. L. 1947. Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika 12, 153-157..
    • (1947) Psychometrika , vol.12 , pp. 153-157
    • McNemar, E.L.1
  • 30
    • 0013132331 scopus 로고
    • SAM: The self-assessment manikin. An efficient cross-cultural measurement of emotional response
    • MORRIS, J. D. 1995. SAM: the self-assessment manikin. An efficient cross-cultural measurement of emotional response. J. Advertis. Res. 35, 8, 63-68..
    • (1995) J. Advertis. Res. , vol.35 , Issue.8 , pp. 63-68
    • Morris, J.D.1
  • 33
    • 0035481502 scopus 로고    scopus 로고
    • Toward machine emotional intelligence: Analysis of affective physiological state
    • PICARD, R. W., VYZAS, E., AND HEALEY, J. 2001. Toward machine emotional intelligence: Analysis of affective physiological state. IEEE Trans. Pattern Anal. Mach. Intell. 23, 10, 1175-1191..
    • (2001) IEEE Trans. Pattern Anal. Mach. Intell. , vol.23 , Issue.10 , pp. 1175-1191
    • Picard, R.W.1    Vyzas, E.2    Healey, J.3
  • 34
    • 0035570837 scopus 로고    scopus 로고
    • The nature of emotions
    • PLUTCHIK, R. 2001. The nature of emotions.Amer. Sci. 89, 344..
    • (2001) Amer Sci. , vol.89 , pp. 344
    • Plutchik, R.1
  • 36
    • 4644280844 scopus 로고
    • A circumplex model of affect
    • RUSSELL, J. A. 1980. A circumplex model of affect. J. Personal. Social Psychol. 39, 6, 1161-1178..
    • (1980) J. Personal. Social Psychol. , vol.39 , Issue.6 , pp. 1161-1178
    • Russell, J.A.1
  • 40
    • 84963788609 scopus 로고    scopus 로고
    • A mathematical theory of communication. ACM SIGMOBILE Mob
    • SHANNON, C. 2001. A mathematical theory of communication. ACM SIGMOBILE Mob. Comput. Comm. Rev. 5, 1, 3-55..
    • (2001) Comput. Comm. Rev. , vol.5 , Issue.1 , pp. 3-55
    • Shannon, C.1
  • 41
    • 0346938412 scopus 로고    scopus 로고
    • Prefrontal brain asymmetry: A biological substrate of the behavioral approach and inhibition systems
    • SUTTON, S. AND DAVIDSON, R. 1997. Prefrontal brain asymmetry: A biological substrate of the behavioral approach and inhibition systems. Psychol. Sci. 8, 3, 204-210..
    • (1997) Psychol. Sci. , vol.8 , Issue.3 , pp. 204-210
    • Sutton, S.1    Davidson, R.2
  • 42
    • 0002999362 scopus 로고    scopus 로고
    • Splines: A perfect fit for signal and image processing
    • UNSER, M. 2002. Splines: A perfect fit for signal and image processing. IEEE Signal Process. Mag. 16, 6, 22-38..
    • (2002) IEEE Signal Process. Mag. , vol.16 , Issue.6 , pp. 22-38
    • Unser, M.1
  • 43
    • 33746410556 scopus 로고    scopus 로고
    • Emotional speech recognition: Resources, features, and methods
    • VERVERIDIS, D. AND KOTROPOULOS, C. 2006. Emotional speech recognition: Resources, features, and methods. Speech Comm. 48, 9, 1162-1181..
    • (2006) Speech Comm. , vol.48 , Issue.9 , pp. 1162-1181
    • Ververidis, D.1    Kotropoulos, C.2
  • 45
    • 0001884644 scopus 로고
    • Individual comparisons by ranking methods
    • WILCOXON, F. 1945. Individual comparisons by ranking methods. Biomet. Bull. 1, 6, 80-83..
    • (1945) Biomet. Bull. , vol.1 , Issue.6 , pp. 80-83
    • Wilcoxon, F.1
  • 49
    • 33646731184 scopus 로고    scopus 로고
    • Recognition offacial expressions and measurement of levels of interest from video
    • YEASIN, M., BULLOT, B., AND SHARMA, R. 2006. Recognition offacial expressions and measurement of levels of interest from video. IEEE Trans. Multimedia 8, 3, 500-508..
    • (2006) IEEE Trans. Multimedia , vol.8 , Issue.3 , pp. 500-508
    • Yeasin, M.1    Bullot, B.2    Sharma, R.3
  • 50
    • 0037198388 scopus 로고    scopus 로고
    • Wavelet entropy analysis of event-related potentials indicates modality-independent theta dominance
    • YORDANOVA, J., KOLEV, V., ROSSO, O., SCHÜRMANN, M., SAKOWITZ, O., ÖZGÖREN, M., AND BASAR, E. 2002.Wavelet entropy analysis of event-related potentials indicates modality-independent theta dominance. J. Neurosci. Methods 117, 1, 99-109..
    • (2002) J. Neurosci. Methods , vol.117 , Issue.1 , pp. 99-109
    • Yordanova, J.1    Kolev, V.2    Rosso, O.3    Schürmann, M.4    Sakowitz, O.5    Özgören, M.6    Basar, E.7
  • 51
    • 57149144228 scopus 로고    scopus 로고
    • A survey of affect recognition methods: Audio, visual, and spontaneous expressions
    • ZENG, Z., PANTIC, M., ROISMAN, G. I., AND HUANG, T. S. 2009. A survey of affect recognition methods: Audio, visual, and spontaneous expressions. IEEE Trans. Pattern Anal. Mach. Intell. 31, 1, 39-58..
    • (2009) IEEE Trans. Pattern Anal. Mach. Intell. , vol.31 , Issue.1 , pp. 39-58
    • Zeng, Z.1    Pantic, M.2    Roisman, G.I.3    Huang, T.S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.