Conference
Mental Stress Detection Using Physiological Signals Based on Soft Computing Techniques
Abstract
This paper presents a novel approach for mental stress detection. In proposed system, three signals including Pupil Diameter (PD), Electrocardiogram (ECG) and Photoplethysmogram (PPG) are analyzed using the soft computing techniques, and most relevant features are extracted from each one. Then, the optimized features are selected by using the Genetic Algorithm (GA) and imported into the Fuzzy SVM (FSVM) to classify “stress” and “relaxation” …
Authors
Mokhayeri F; Akbarzadeh-T M-R; Toosizadeh S
Pagination
pp. 232-237
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
December 1, 2011
DOI
10.1109/icbme.2011.6168563
Name of conference
2011 18th Iranian Conference of Biomedical Engineering (ICBME)