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Analyzing Frequency Rhythms in Posed and Spontaneous Emotions Using Time-Intensity of EEG Signals

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Rising Threats in Expert Applications and Solutions

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 434))

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Abstract

EEG signals are established to be highly effective in spontaneous emotion recognition while subjects are exposed to some stimuli. However, it is posited that the neural signature of posed (volitional/deliberate) emotions are varying from their spontaneous counterpart. In this study, we present subject dependent analysis of spontaneous and posed emotional evocations using normalized time-intensities of higher frequency rhythms. The time-intensities with respect to posed and spontaneous neutral, happy and sad emotions are calculated and topographic distributions are plotted. The topographic time-intensity plots of subjects with respect to posed and spontaneous emotions inferring the prevailing left cerebral activation in posed evocation as compared to coherent right cerebral activation of electrodes in case of spontaneous emotional evocation.

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Correspondence to Ritesh Joshi .

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Joshi, R., Sen, P., Ingle, M. (2022). Analyzing Frequency Rhythms in Posed and Spontaneous Emotions Using Time-Intensity of EEG Signals. In: Rathore, V.S., Sharma, S.C., Tavares, J.M.R., Moreira, C., Surendiran, B. (eds) Rising Threats in Expert Applications and Solutions. Lecture Notes in Networks and Systems, vol 434. Springer, Singapore. https://doi.org/10.1007/978-981-19-1122-4_28

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