Complexity-based analysis of the variations in skin reaction in different emotional states
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F29142890%3A_____%2F25%3A00052458" target="_blank" >RIV/29142890:_____/25:00052458 - isvavai.cz</a>
Výsledek na webu
<a href="https://www-worldscientific-com.ezproxy.lib.cas.cz/doi/10.1142/S0218348X25500094" target="_blank" >https://www-worldscientific-com.ezproxy.lib.cas.cz/doi/10.1142/S0218348X25500094</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/S0218348X25500094" target="_blank" >10.1142/S0218348X25500094</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Complexity-based analysis of the variations in skin reaction in different emotional states
Popis výsledku v původním jazyce
Analyzing the skin's response to different external conditions is a significant area of research in biomedical engineering. This paper examines the variations in skin activity across different emotional states. We employed the concepts of complexity, calculating the approximate entropy (ApEn) and sample entropy (SampEn) of galvanic skin response (GSR) signals from 12 subjects who were exposed to 21 stimulus videos (three sessions), in total, categorized under six basic emotions: surprise, anger, fear, happiness, sadness, disgust, and an additional neutral state. The results demonstrated significant variations in the complexity of GSR signals across these emotional states. The methodology used in this study can also be extended to analyze other physiological signals, such as EEG, EMG, and ECG, to potentially understand the responses of various organs like the brain, muscles, and heart to different emotional stimuli.
Název v anglickém jazyce
Complexity-based analysis of the variations in skin reaction in different emotional states
Popis výsledku anglicky
Analyzing the skin's response to different external conditions is a significant area of research in biomedical engineering. This paper examines the variations in skin activity across different emotional states. We employed the concepts of complexity, calculating the approximate entropy (ApEn) and sample entropy (SampEn) of galvanic skin response (GSR) signals from 12 subjects who were exposed to 21 stimulus videos (three sessions), in total, categorized under six basic emotions: surprise, anger, fear, happiness, sadness, disgust, and an additional neutral state. The results demonstrated significant variations in the complexity of GSR signals across these emotional states. The methodology used in this study can also be extended to analyze other physiological signals, such as EEG, EMG, and ECG, to potentially understand the responses of various organs like the brain, muscles, and heart to different emotional stimuli.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10700 - Other natural sciences
Návaznosti výsledku
Projekt
—
Návaznosti
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Fractals - Complex Geometry Patterns and Scaling in Nature and Society
ISSN
0218-348X
e-ISSN
—
Svazek periodika
33
Číslo periodika v rámci svazku
01
Stát vydavatele periodika
SG - Singapurská republika
Počet stran výsledku
9
Strana od-do
1-9
Kód UT WoS článku
001423973600001
EID výsledku v databázi Scopus
—