Stress Classification for Gender Bias in Reading
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]
|Collections||ANU Research Publications|
|Source:||Neural Information Processing (LNCS 7064)|
|01_Sharma_Stress_Classification_for_2011.pdf||336.74 kB||Adobe PDF||Request a copy|
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