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+# Stress and Affect Detection on Resource-Constrained Devices
+
+This repository contains code for the paper "Stress and Affect Detection on Resource-Constrained Devices", presented at the 18th International Conference on Machine Learning and Applications (2019), 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 published in Proceedings of the 18th International Conference on Machine Learning and Applications (2019), IEEE Xplore.
+
+Link: https://ieeexplore.ieee.org/document/8999216
+
+Citation:
+
+```
+@inproceedings{8999216,
+  author={A. {Ragav} and N. H. {Krishna} and N. {Narayanan} and K. {Thelly} and V. {Vijayaraghavan}},
+  booktitle={2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)},
+  title={Scalable Deep Learning for Stress and Affect Detection on Resource-Constrained Devices},
+  year={2019},
+  volume={},
+  number={},
+  pages={1585-1592},
+}
+```
+
+Authors: [Abhijith Ragav](https://github.com/abhijithragav), [Nanda H Krishna](https://github.com/nandahkrishna), [Naveen Narayanan](https://github.com/naveenggmu), [Kevin Thelly](https://github.com/KevinThelly), Vineeth Vijayaraghavan