Stress detection during job interview using physiological signal

<span>A job interview can be challenging and stressful even when one has gone through it many times. Failure to handle the stress may lead unsuccessful delivery of their best throughout session. Therefore, an alternative method which is preparing a video resume before actual could reduce level stress. An intelligent detection proposed classify individuals with different levels by understanding physiological signal electrocardiogram (ECG) signals. The Augsburg biosignal toolbox (AUBT) dataset was used obtain state-of-art results. Only five selected features are significant were fed into neural network multi-layer perceptron (MLP) as optimum classifier. This achieved accuracy 92.93% tested over 10 male subjects who recording for analysis purposes.</span>