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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Bibliographic Details
Published in:	International journal of psychophysiology Vol. 110; pp. 91 - 101
Main Authors:	Ghaderyan, Peyvand, Abbasi, Ataollah
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.12.2016
Subjects:	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
Online Access:	Get full text
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