• M.S.Kalas

Different techniques have been elaborated for examining and detecting the stress of a person. The Operator Functional State (OFS) is modeled using ANN, Random Forest and Decision Tree classifier models that expand research in brain imaging as an approach for performing stress recognition using Electro occulography by categorizing Ground truth annotation. The investigation of stress detection performed using eye movement analysis and results are approved utilizing study on person engaged with an office surrounding utilizing a model arrangement of intellectual action like reading a printed paper. This procedure achieves great exactness and sets up a Random Forest model which gives great precision with least error

Operator Functional State, Random Forest Modelling, Electro Occulography

"Better Modelling of Operator Functional State (OFS) by Eye Movement Analysis of EOG for Stress Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.185-191, June 2019, Available :http://www.jetir.org/papers/JETIR1906N77.pdf

"Better Modelling of Operator Functional State (OFS) by Eye Movement Analysis of EOG for Stress Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp185-191, June 2019, Available at : http://www.jetir.org/papers/JETIR1906N77.pdf