The Sensors for stress detection: first analysis

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DOI:

https://doi.org/10.61467/2007.1558.2024.v15i3.358

Keywords:

Stress, Covid-19, EMG, EEG, ECG, Galvanic skin response

Abstract

Since 2020, due to the pandemic caused by the COVID-19 virus, the world has come to a standstill, causing the isolation of the population. The vulnerability perceived by the population, as well as the lock-down, have wreaked havoc on the physical and emotional health of most people. One of the main conditions has been stress, which can trigger other conditions such as heart issues, anger, depression, among others.

Therefore, at the Autonomous University of Hidalgo State, in the Software Engineering degree program and in collaboration with institutes as the Technologic Institute of Zacatepec, we have proposed to implement a development based on Arduino and biometric sensors which allow monitoring bio-signals to determine the user's perceived level of stress, through connection with a mobile application.

For this reason, this document is based on researching, comparing, and analyzing the sensors to be applied to the final project.

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Published

2024-10-01

How to Cite

Nieto García, U., Arana Llanes, J. Y., Higareda Pliego, T. E., & Sánchez Bautista, G. (2024). The Sensors for stress detection: first analysis. International Journal of Combinatorial Optimization Problems and Informatics, 15(3), 205–210. https://doi.org/10.61467/2007.1558.2024.v15i3.358

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Articles