Abstract
Emotions are complex occurrence that is felt at each instant and are entrenched in the underlying state of physiological processes. The cardiac activity reproduces direct quantitative analysis of the induced emotion. The objective of this study is to determine the effect of cardiac response in order to assess the intensity of induced emotion. Ten adult participants are participated in this study. The stimulus to provoke emotion was selected from the International Affective Picture System (IAPS). The positive valence low/high arousal images were selected. The perceived emotion was measured using Self-Assessment Manikin Scale (SAM scale) and physiological response to the stimulus was evaluated using heart rate. The heart rate while viewing positive valence and low arousal pictures was significantly low (p = 0.05) for when compared with non-image appearance period, whereas it was significantly high (p = 0.05) for positive valence and high arousal images. The two-dimensional model of emotion study concludes that the subjective perceived emotion correlates with the induced emotion for the selected categories with arousal playing the most significant role in inducing the changes in cardiac reactions.
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References
Hosseini SA, Naghibi-Sistani MB (2011) Classification of emotional stress using brain activity. INTECH Open Access Publisher
Russell JA (1980) A circumplex model of affect. J Pers Soc Psychol 39(6):1161
Chanel G, Kronegg J, Grandjean D, Pun T (2006) Emotion assessment: arousal evaluation using EEG’s and peripheral physiological signals. In: Multimedia content representation, classification and security, pp 530–537
Bradley MM, Lang PJ (1994) Measuring emotion: the self-assessment manikin and the semantic differential. J Behav Ther Exp Psychiatry 25(1):49–59
Hockenbury DH, Hockenbury SE (2010) Discovering psychology. Macmillan
Juslin PN, Laukka P (2004) Expression, perception, and induction of musical emotions: a review and a questionnaire study of everyday listening. J New Music Res 33(3):217–238
Lang PJ, Bradley MM, Cuthbert BN (1999) International affective picture system (IAPS): instruction manual and affective ratings. The center for research in psychophysiology, University of Florida
Bradley MM, Lang PJ (2000) Emotion and motivation. In: Handbook of psychophysiology, vol 2, pp 602–642
Courtney CG, Dawson ME, Schell AM, Parsons TD (2009) Affective computer-generated stimulus exposure: psychophysiological support for increased elicitation of negative emotions in high and low fear subjects. In: Foundations of augmented cognition. neuroergonomics and operational neuroscience. Springer, Berlin, Heidelberg, pp 459–468
Guhan Seshadri NP, Geethanjali B and Muthumeenakshi S (2016). Visualizing the brain connectivity during negative emotion processing—an EEG study. Front Hum Neurosci (Conference abstract: SAN2016 meeting) https://doi.org/10.3389/conf.fnhum.2016.220.00005
Guhan Seshadri NP, Geethanjali B, Pravinkumar S, Adalarasu K (2015) Wavelet based EEG analysis of induced emotion on South Indians. Aust J Basic Appl Sci 9(33):156–161
Vorobiof G, Blaxall BC, Bisognano JD (2006) The future of endothelin-receptor antagonism as treatment for systemic hypertension. Curr Hypertens Rep 8(1):35–44
Boiten F, Frijda N, Wientjes C (1994) Emotions and respiratory patterns: review and critical analysis. Int J Psychophysiol 17:103–128
O’Kelly J, James L, Palaniappan R, Taborin J, Fachner J, Magee WL (2013) Neurophysiological and behavioral responses to music therapy in vegetative and minimally conscious states. Front Hum Neurosci 7(884)
Luft CDB, Bhattacharya J (2015) Aroused with heart: modulation of heartbeat evoked potential by arousal induction and its oscillatory correlates. Sci Rep 5
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Menon, S., Geethanjali, B., Guhan Seshadri, N.P., Muthumeenakshi, S., Nair, S. (2018). Evaluating the Induced Emotions on Physiological Response. In: Nandi, A., Sujatha, N., Menaka, R., Alex, J. (eds) Computational Signal Processing and Analysis. Lecture Notes in Electrical Engineering, vol 490. Springer, Singapore. https://doi.org/10.1007/978-981-10-8354-9_19
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DOI: https://doi.org/10.1007/978-981-10-8354-9_19
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