This repository contains code used for the paper "Stress and Affect Detection on Resource-Constrained Devices" which has been accepted for presentation at the 18th International Conference on Machine Learning and Applications, Boca Raton, FL, USA.
We discuss an efficient and accurate solution to stress detection in our paper. The datasets used are:
- WESAD
- SWELL-KW
- DREAMER
Paper to be published in ICMLA Proceedings, IEEE Xplore.
Authors: Abhijith Ragav, Nanda H Krishna, Naveen Narayanan, Kevin Thelly, Vineeth Vijayaraghavan