Open Access


Stress Detector Supported Galvanic Skin Response System with IoT and LabVIEW GUI

Rajesh Singh1, Anita Gehlot1, Ritika Saxena2, Khalid Alsubhi3, Divya Anand1,*, Irene Delgado Noya4,5, Shaik Vaseem Akram1, Sushabhan Choudhury2
1 Lovely Professional University, Punjab, 144411, India
2 Department of Electronics & Communication Engineering, University of Petroleum and Energy Studies, 248001, India
3 Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, 37848, Saudi Arabia
4 Universidad Europea del Atlántico, Santander, 39011, Spain
5 Universidad Internacional Iberoamericana, Campeche, C.P, Mexico
* Corresponding Author: Divya Anand. Email:

Computers, Materials & Continua 2023, 74(1), 1217-1233.

Received 25 September 2021; Accepted 26 November 2021; Issue published 22 September 2022


Stress is now a serious disease that exists due to changes in working life and food ecosystems around the world. In general, it is difficult for a person to know if they are under stress. According to previous research, temperature, heart rate variability (HRV), humidity, and blood pressure are used to assess stress levels with the use of instruments. With the development of sensor technology and wireless connectivity, people around the world are adopting and using smart devices. In this study, a bio signal detection device with Internet of Things (IoT) capability with a galvanic skin reaction (GSR) sensor is proposed and built for real-time stress monitoring. The proposed device is based on an Arduino controller and Bluetooth communication. To evaluate the performance of the system, physical stress is created on 10 different participants with three distinct tasks namely reading, visualizing the timer clock, and watching videos. MATLAB analysis is performed for identifying the three different levels of stress and obtaining the threshold values as if the person GSR voltage i.e., relaxed for <1.75 volts; Normal: between 1.75 and 1.44 volts and stressed: >1.44 volts. In addition, LabVIEW is used as a data acquisition system, and a Blueterm mobile application is also used to view the sensor reading received from the device through Bluetooth communication.


GSR; LabVIEW; stress detection; MATLAB; IoT; bluetooth

Cite This Article

R. Singh, A. Gehlot, R. Saxena, K. Alsubhi, D. Anand et al., "Stress detector supported galvanic skin response system with iot and labview gui," Computers, Materials & Continua, vol. 74, no.1, pp. 1217–1233, 2023.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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