International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

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MODELLING CHARACTERISTICS OF EYE MOVEMENT ANALYSIS FOR STRESS RECOGNITION USING ARTIFICIAL NEURAL NETWORK

    2 Author(s):  M.S. KALAS, B.F. MOMIN

Vol -  7, Issue- 12 ,         Page(s) : 158 - 164  (2016 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

The principal reason for measuring stress is to quantify the mental cost of performing tasks in order to predict operator and system performance. We have to characterize mental states of operator performance, by finding patterns in timely changing physiological, measures like EOG(Electro Occulography), with eye blinks. Various computational approaches based on EOG signals have been developed for analyzing and detecting stress of an individual.

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