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Volumn 8, Issue 1, 2014, Pages 5-16

Using unlabeled data to improve classification of emotional states in human computer interaction

Author keywords

Affective computing; Clustering; Partially supervised learning

Indexed keywords

CLASSIFICATION (OF INFORMATION);

EID: 84902366569     PISSN: 17837677     EISSN: 17838738     Source Type: Journal    
DOI: 10.1007/s12193-013-0133-0     Document Type: Article
Times cited : (26)

References (57)
  • 2
    • 0028806777 scopus 로고
    • Analysis of heart rate variability. Background, method, and possible use in anesthesia
    • Baumert JH, Frey AW, Adt M (1995) Analysis of heart rate variability. Background, method, and possible use in anesthesia. Der Anaesth 44(10): 677-686.
    • (1995) Der Anaesth , vol.44 , Issue.10 , pp. 677-686
    • Baumert, J.H.1    Frey, A.W.2    Adt, M.3
  • 4
    • 0028145094 scopus 로고
    • Emotions and respiratory patterns: review and critical analysis
    • Boiten FA, Frijda NH, Wientjes CJ (1994) Emotions and respiratory patterns: review and critical analysis. Int J Psychophysiol 17(2): 103-128.
    • (1994) Int J Psychophysiol , vol.17 , Issue.2 , pp. 103-128
    • Boiten, F.A.1    Frijda, N.H.2    Wientjes, C.J.3
  • 5
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman L (1996) Bagging predictors. Mach Learn 24: 123-140.
    • (1996) Mach Learn , vol.24 , pp. 123-140
    • Breiman, L.1
  • 8
    • 0023022674 scopus 로고
    • Power spectrum and turns analysis of EMG at different voluntary efforts in normal subjects
    • Christensen H, Fuglsang-Frederiksen A (1986) Power spectrum and turns analysis of EMG at different voluntary efforts in normal subjects. Electroencephalogr Clin Neurophysiol 64(6): 528-535.
    • (1986) Electroencephalogr Clin Neurophysiol , vol.64 , Issue.6 , pp. 528-535
    • Christensen, H.1    Fuglsang-Frederiksen, A.2
  • 10
    • 1942483344 scopus 로고
    • On the asymptotic improvement in the out-come of supervised learning provided by additional nonsupervised learning
    • Cooper DB, Freeman JH (1970) On the asymptotic improvement in the out-come of supervised learning provided by additional nonsupervised learning. IEEE Trans Comput 19(11): 1055-1063.
    • (1970) IEEE Trans Comput , vol.19 , Issue.11 , pp. 1055-1063
    • Cooper, D.B.1    Freeman, J.H.2
  • 11
    • 84918441630 scopus 로고
    • Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition
    • Cover TM (1965) Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition. IEEE Trans Electron 14(3): 326-334.
    • (1965) IEEE Trans Electron , vol.14 , Issue.3 , pp. 326-334
    • Cover, T.M.1
  • 12
    • 84878576045 scopus 로고    scopus 로고
    • Confidence measures in speech emotion recognition based on semi-supervised learning
    • Deng J, Schuller B (2012) Confidence measures in speech emotion recognition based on semi-supervised learning. In: proceeding of the INTERSPEECH 2012, pp 2226-2229.
    • (2012) Proceeding of the INTERSPEECH 2012 , pp. 2226-2229
    • Deng, J.1    Schuller, B.2
  • 16
    • 0020416191 scopus 로고
    • Covariation and consistency of activation parameters
    • Fahrenberg J, Foerster F (1982) Covariation and consistency of activation parameters. Biol Psychol 15(3-4): 151-169.
    • (1982) Biol Psychol , vol.15 , Issue.3-4 , pp. 151-169
    • Fahrenberg, J.1    Foerster, F.2
  • 17
    • 33745587777 scopus 로고    scopus 로고
    • Decoding mental states from brain activity in humans. Nature reviews
    • Haynes JDD, Rees G (2006) Decoding mental states from brain activity in humans. Nature reviews. Neuroscience 7(7): 523-534.
    • (2006) Neuroscience , vol.7 , Issue.7 , pp. 523-534
    • Haynes, J.D.D.1    Rees, G.2
  • 18
    • 70450051249 scopus 로고    scopus 로고
    • Transductive support vector machines
    • The MIT Press, London
    • Joachims T (2006) Transductive support vector machines. In: Semi-supervised learning. The MIT Press, London, pp 105-117.
    • (2006) Semi-supervised learning , pp. 105-117
    • Joachims, T.1
  • 20
    • 79952104621 scopus 로고    scopus 로고
    • Sensitivity of temporal heart rate variability in poincar plot to changes in parasympathetic nervous system activity
    • Karmakar C, Khandoker A, Voss A, Palaniswami M (2011) Sensitivity of temporal heart rate variability in poincar plot to changes in parasympathetic nervous system activity. BioMed Eng Online 10: 1-14.
    • (2011) BioMed Eng Online , vol.10 , pp. 1-14
    • Karmakar, C.1    Khandoker, A.2    Voss, A.3    Palaniswami, M.4
  • 21
    • 85006832338 scopus 로고
    • An empirical methodology for writing user-friendly natural language computer applications
    • Kelley JF (1983) An empirical methodology for writing user-friendly natural language computer applications. In: SIGCHI conference on human factors in computing systems, pp 193-196.
    • (1983) SIGCHI conference on human factors in computing systems , pp. 193-196
    • Kelley, J.F.1
  • 24
    • 56649124649 scopus 로고    scopus 로고
    • Emotion recognition based on physiological changes in music listening
    • Kim J, André E (2008) Emotion recognition based on physiological changes in music listening. IEEE Trans Pattern Anal 12(12): 2067-2083.
    • (2008) IEEE Trans Pattern Anal , vol.12 , Issue.12 , pp. 2067-2083
    • Kim, J.1    André, E.2
  • 25
    • 0025227924 scopus 로고
    • The QRS complex
    • Krikler DM (1990) The QRS complex. Ann N Y Acad Sci 601(1): 24-30.
    • (1990) Ann N Y Acad Sci , vol.601 , Issue.1 , pp. 24-30
    • Krikler, D.M.1
  • 26
    • 0037403516 scopus 로고    scopus 로고
    • Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
    • Kuncheva LI, Whitaker CJ (2003) Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy. Mach Learn 51(2): 181-207.
    • (2003) Mach Learn , vol.51 , Issue.2 , pp. 181-207
    • Kuncheva, L.I.1    Whitaker, C.J.2
  • 27
    • 34249077512 scopus 로고    scopus 로고
    • Individual differences in core affect variability and their relationship to personality and psychological adjustment
    • Kuppens P, van Mechelen I, Nezlek JB, Dossche D, Timmermans T (2007) Individual differences in core affect variability and their relationship to personality and psychological adjustment. Emotion 7(2): 262-274.
    • (2007) Emotion , vol.7 , Issue.2 , pp. 262-274
    • Kuppens, P.1    van Mechelen, I.2    Nezlek, J.B.3    Dossche, D.4    Timmermans, T.5
  • 28
    • 0027523286 scopus 로고
    • Looking at pictures: affective, facial, visceral, and behavioral reactions
    • Lang PJ, Greenwald MK, Bradley MM, Hamm AO (1993) Looking at pictures: affective, facial, visceral, and behavioral reactions. Psychophysiology 30(3): 261-273.
    • (1993) Psychophysiology , vol.30 , Issue.3 , pp. 261-273
    • Lang, P.J.1    Greenwald, M.K.2    Bradley, M.M.3    Hamm, A.O.4
  • 29
    • 10244240638 scopus 로고    scopus 로고
    • Using noninvasive wearable computers to recognize human emotions from physiological signals
    • Lisetti CL, Nasoz F (2004) Using noninvasive wearable computers to recognize human emotions from physiological signals. EURASIP J Appl Signal Process 2004(4): 1672-1687.
    • (2004) EURASIP J Appl Signal Process , vol.2004 , Issue.4 , pp. 1672-1687
    • Lisetti, C.L.1    Nasoz, F.2
  • 30
    • 0029928495 scopus 로고    scopus 로고
    • Heart rate variability: standards of measurement, physiological interpretation, and clinical use
    • Malik M (1996) Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Circulation 93(5): 1043-1065.
    • (1996) Circulation , vol.93 , Issue.5 , pp. 1043-1065
    • Malik, M.1
  • 31
    • 21344454051 scopus 로고    scopus 로고
    • Pleasure-arousal-dominance: a general framework for describing and measuring individual differences in temperament
    • Mehrabian A (1996) Pleasure-arousal-dominance: a general framework for describing and measuring individual differences in temperament. Curr Psychol 14(4): 261-292.
    • (1996) Curr Psychol , vol.14 , Issue.4 , pp. 261-292
    • Mehrabian, A.1
  • 34
    • 0035481502 scopus 로고    scopus 로고
    • Toward machine emotional intelligence: analysis of affective physiological state
    • Picard RW, Vyzas E, 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
  • 35
    • 0026015905 scopus 로고
    • Approximate entropy as a measure of system complexity
    • Pincus SM (1991) Approximate entropy as a measure of system complexity. Natl Acad Sci USA 88(6): 2297-2301.
    • (1991) Natl Acad Sci USA , vol.88 , Issue.6 , pp. 2297-2301
    • Pincus, S.M.1
  • 36
    • 0036681029 scopus 로고    scopus 로고
    • Indexing chromatic and achromatic patterns for content-based colour image retrieval
    • Qiu G (2002) Indexing chromatic and achromatic patterns for content-based colour image retrieval. Pattern Recogn 35(8): 1675-1686.
    • (2002) Pattern Recogn , vol.35 , Issue.8 , pp. 1675-1686
    • Qiu, G.1
  • 37
    • 0033949457 scopus 로고    scopus 로고
    • Physiological time-series analysis using approximate entropy and sample entropy
    • Richman JS, Moorman JR (2000) Physiological time-series analysis using approximate entropy and sample entropy. Am J Physiol Heart C 278(6): H2039-H2049.
    • (2000) Am J Physiol Heart C , vol.278 , Issue.6
    • Richman, J.S.1    Moorman, J.R.2
  • 41
    • 4644280844 scopus 로고
    • A circumplex model of affect
    • Russell J (1980) A circumplex model of affect. J Pers Soc Psychol 39: 1161-1178.
    • (1980) J Pers Soc Psychol , vol.39 , pp. 1161-1178
    • Russell, J.1
  • 42
    • 84857401318 scopus 로고    scopus 로고
    • Classification of emotional states in a Woz scenario exploiting labeled and unlabeled bio-physiological data
    • Schels M, Kächele M, Schwenker F (2012) Classification of emotional states in a Woz scenario exploiting labeled and unlabeled bio-physiological data. In: Proceedings of partially supervised learning 2011, pp 138-147.
    • (2012) Proceedings of partially supervised learning 2011 , pp. 138-147
    • Schels, M.1    Kächele, M.2    Schwenker, F.3
  • 43
    • 27944495684 scopus 로고    scopus 로고
    • What are emotions? and how can they be measured?
    • Scherer KR (2005) What are emotions? and how can they be measured? Soc Sci Inf 44(4): 693-727.
    • (2005) Soc Sci Inf , vol.44 , Issue.4 , pp. 693-727
    • Scherer, K.R.1
  • 45
    • 0035015680 scopus 로고    scopus 로고
    • Three learning phases for radial-basis-function networks
    • Schwenker F, Kestler HA, Palm G (2001) Three learning phases for radial-basis-function networks. Neural Netw 14: 439-458.
    • (2001) Neural Netw , vol.14 , pp. 439-458
    • Schwenker, F.1    Kestler, H.A.2    Palm, G.3
  • 46
    • 0019431045 scopus 로고
    • Use of signals in the terminal QRS complex to identify patients with ventricular tachycardia after myocardial infarction
    • Simson M (1981) Use of signals in the terminal QRS complex to identify patients with ventricular tachycardia after myocardial infarction. Circulation 64(2): 235-242.
    • (1981) Circulation , vol.64 , Issue.2 , pp. 235-242
    • Simson, M.1
  • 47
    • 62949123026 scopus 로고    scopus 로고
    • Affective characterization of movie scenes based on multimedia content analysis and user's physiological emotional responses
    • Soleymani M, Chanel G, Kierkels J, Pun T (2008) Affective characterization of movie scenes based on multimedia content analysis and user's physiological emotional responses. In: IEEE international symposium on multimedia, pp 228-235.
    • (2008) IEEE international symposium on multimedia , pp. 228-235
    • Soleymani, M.1    Chanel, G.2    Kierkels, J.3    Pun, T.4
  • 48
    • 0024797749 scopus 로고
    • The autonomic differentiation of emotions revisited: convergent and discriminant validation
    • Stemmler G (1989) The autonomic differentiation of emotions revisited: convergent and discriminant validation. Psychophysiology 26(6): 617-632.
    • (1989) Psychophysiology , vol.26 , Issue.6 , pp. 617-632
    • Stemmler, G.1
  • 49
    • 0035064561 scopus 로고    scopus 로고
    • Constraints for emotion specificity in fear and anger: the context counts
    • Stemmler G, Heldmann M, Pauls CA, Scherer T (2001) Constraints for emotion specificity in fear and anger: the context counts. Psychophysiology 38(2): 275-291.
    • (2001) Psychophysiology , vol.38 , Issue.2 , pp. 275-291
    • Stemmler, G.1    Heldmann, M.2    Pauls, C.A.3    Scherer, T.4
  • 51
    • 84864143712 scopus 로고    scopus 로고
    • Facial EMG as a tool for inferring affective states
    • van Boxtel A (2010) Facial EMG as a tool for inferring affective states. In: Proceedings of measuring behavior, pp 104-108.
    • (2010) Proceedings of measuring behavior , pp. 104-108
    • van Boxtel, A.1
  • 53
    • 70450177657 scopus 로고    scopus 로고
    • Exploring the benefits of discretization of acoustic features for speech emotion recognition
    • Vogt T, André E (2009) Exploring the benefits of discretization of acoustic features for speech emotion recognition. In: Proceeding of the interspeech, pp 328-331.
    • (2009) Proceeding of the interspeech , pp. 328-331
    • Vogt, T.1    André, E.2
  • 55
    • 0027457714 scopus 로고
    • Blood pressure responses and incentive appraisals as a function of perceived ability and objective task demand
    • Wright RA, Dill JC (1993) Blood pressure responses and incentive appraisals as a function of perceived ability and objective task demand. Psychophysiology 30(2): 152-160.
    • (1993) Psychophysiology , vol.30 , Issue.2 , pp. 152-160
    • Wright, R.A.1    Dill, J.C.2
  • 57
    • 84878381243 scopus 로고    scopus 로고
    • Active learning by sparse instance tracking and classifier confidence in acoustic emotion recognition
    • Zhang Z, Schuller B (2012) Active learning by sparse instance tracking and classifier confidence in acoustic emotion recognition. In: Proceeding of the INTERSPEECH 2012, pp 362-365.
    • (2012) Proceeding of the INTERSPEECH 2012 , pp. 362-365
    • Zhang, Z.1    Schuller, B.2


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