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Modeling a stress signal.

Authors :
Sharma, Nandita
Gedeon, Tom
Source :
Applied Soft Computing; Jan2014, Vol. 14 Issue Part A, p53-61, 9p
Publication Year :
2014

Abstract

Highlights: [•] Proposed a computational stress signal predictor system to estimate a stress signal. [•] System based on support vector machine, genetic algorithm and neural network. [•] An experiment was conducted to acquire real-world stress data. [•] Features extracted from the stress data were provided as input to the system. [•] The stress signal was most similar to a hyperbolic tangent curve. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
15684946
Volume :
14
Issue :
Part A
Database :
Supplemental Index
Journal :
Applied Soft Computing
Publication Type :
Academic Journal
Accession number :
92511645
Full Text :
https://doi.org/10.1016/j.asoc.2013.09.019