Deepti Kulkarni
Research scholar, Department of Computer Science, Oriental University, Indore, India
Rashmi Soni
Research Supervisor & Associate Professor CSE department Oriental University ,Indore, India
Abstract
We as a society have discovered the sins of mental health in recent times and one who has experienced knows how difficult it can be. Stress causes a lot of mental fatigue in most age groups, with even teens suffering from it showing how important it is to be addressed as soon as possible. So, we came up with a monitoring system which looks at the basic symptoms and also recognizes them through facial expressions. With the FER 2013 dataset, we created two broad categories stressed, happy, and neutral. This paper shows how deep learning models and their combinations when supervised sincerely with good data can read symptoms and signs of stress easily. Based on the results we found we propose a solid method with accurate results and a better understanding of our regular stressed life.
Keywords- Stress monitor, Machine learning, Transfer Learning, FER 2013 Dataset