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Stress Classification for Gender Bias in Reading

Sharma, Nandita; Gedeon, Tamas (Tom)


The paper investigates classification of stress in reading for males and females based on an artificial neural network model (ANN). An experiment was conducted, with stressful and non-stressful reading material as stimuli, to obtain galvanic skin response (GSR) signals, a good indicator of stress. GSR signals formed the input of the ANN with stressed and non-stressed states as the two output classes. Results show that stress in reading for males compared to females are significantly different...[Show more]

CollectionsANU Research Publications
Date published: 2011
Type: Conference paper
Source: Neural Information Processing (LNCS 7064)
DOI: 10.1007/978-3-642-24965-5_39


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