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

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available