Impact of human emotions on physiological characteristics

P. Partila; M. Voznak; T. Peterek; M. Penhaker; V. Novak; J. Tovarek; Miralem Mehic; L. Vojtech

doi:10.1117/12.2050679

22 May 2014 Impact of human emotions on physiological characteristics

P. Partila, M. Voznak, T. Peterek, M. Penhaker, V. Novak, J. Tovarek, Miralem Mehic, L. Vojtech

Author Affiliations +

Proceedings Volume 9118, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XII; 91180W (2014) https://doi.org/10.1117/12.2050679
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

Emotional states of humans and their impact on physiological and neurological characteristics are discussed in this paper. This problem is the goal of many teams who have dealt with this topic. Nowadays, it is necessary to increase the accuracy of methods for obtaining information about correlations between emotional state and physiological changes. To be able to record these changes, we focused on two majority emotional states. Studied subjects were psychologically stimulated to neutral - calm and then to the stress state. Electrocardiography, Electroencephalography and blood pressure represented neurological and physiological samples that were collected during patient’s stimulated conditions. Speech activity was recording during the patient was reading selected text. Feature extraction was calculated by speech processing operations. Classifier based on Gaussian Mixture Model was trained and tested using Mel-Frequency Cepstral Coefficients extracted from the patient's speech. All measurements were performed in a chamber with electromagnetic compatibility. The article discusses a method for determining the influence of stress emotional state on the human and his physiological and neurological changes.

Citation Download Citation

P. Partila, M. Voznak, T. Peterek, M. Penhaker, V. Novak, J. Tovarek, Miralem Mehic, and L. Vojtech "Impact of human emotions on physiological characteristics", Proc. SPIE 9118, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XII, 91180W (22 May 2014); https://doi.org/10.1117/12.2050679

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