Impact of human emotions on physiological characteristics

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86090920" target="_blank" >RIV/61989100:27240/14:86090920 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21230/14:00220711 RIV/61989100:27740/14:86090920

Výsledek na webu

<a href="http://dx.doi.org/10.1117/12.2050679" target="_blank" >http://dx.doi.org/10.1117/12.2050679</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1117/12.2050679" target="_blank" >10.1117/12.2050679</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Impact of human emotions on physiological characteristics

Popis výsledku v původním jazyce

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 thento 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 meas

Název v anglickém jazyce

Impact of human emotions on physiological characteristics

Popis výsledku anglicky

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 thento 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 meas

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of SPIE - The International Society for Optical Engineering. Volume 9118

ISBN

978-1-62841-055-6

ISSN

0277-786X

e-ISSN

—

Počet stran výsledku

5

Strana od-do

527-531

Název nakladatele

SPIE

Místo vydání

Bellingham

Místo konání akce

Baltimore

Datum konání akce

7. 5. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000343127000022