Physical Exertion Detection (Using Machine Learning and IOT)


Authors : Nandini Sunil Mutha; Rutuja Shatrughna Mandhare; Devyani Nitin Mahajan; Omkar Rajesh Dukare; Tejal. H. Patil

Volume/Issue : Volume 7 - 2022, Issue 12 - December

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3YJvjBA

DOI : https://doi.org/10.5281/zenodo.7471059

With the advancement of technology, we are able to use Arduino in this project to digitally sense body temperature and heart rate. Arduino is primarily used because it has the ability to perceive its surroundings by receiving data from various sensors and change it by controlling lights, motors and other actuators. Arduino programming language is used to program the microcontroller of the board. The goal of this work is to develop a system that can remotely monitor body temperature and heart rate in real time with the measurement results displayed on a web server. This research involves a number of phases, including the generation of research hypotheses based on literature reviews and the design of a hardware and software system.

Keywords : Arduino, Sensor, SVM Classifier, Feature Extraction, Pre-Processing

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