An efficient automatic workload estimation method based on electrodermal activity using pattern classifier combinations

Automatic workload estimation has received much attention because of its application in error prevention, diagnosis, and treatment of neural system impairment. The development of a simple but reliable method using minimum number of psychophysiological signals is a challenge in automatic workload est...

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Vydané v:	International journal of psychophysiology Ročník 110; s. 91 - 101
Hlavní autori:	Ghaderyan, Peyvand, Abbasi, Ataollah
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier B.V 01.12.2016
Predmet:	Adult Arithmetic task Cognitive load estimation Data Interpretation, Statistical Electrodermal activity Executive Function - physiology Female Galvanic Skin Response - physiology Humans Machine learning Male Problem Solving - physiology Psychomotor Performance - physiology Signal Processing, Computer-Assisted Support Vector Machine Young Adult Arithmetic task Electrodermal activity Cognitive load estimation Support vector machine Machine learning
ISSN:	0167-8760, 1872-7697, 1872-7697
On-line prístup:	Získať plný text
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