Prediction of Stress using Machine Learning and IoT

Abstract

Stress is considered as the leading problem in healthcare. This paper is about a brief review of machine learning Algorithms and IoT, and their roles in the prediction of stress. A lot of research has been done by researchers in the prediction of stress by taking reference to previous research we compare SVM and KNN accuracy and performanceon the basis of PSS (perceived stress scale), EDR and ECG. This paper discusses ML Techniques that are implemented on the Internet of things (IoT) nowadays. Also, emphasis has been laid on identifying the causes, symptoms of stress along with studying the existing Machine Learning algorithms related to Stress.