TY  - JOUR
ID  - uninimx5597
IS  - 1
VL  - 74
AV  - none
N2  - 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.
KW  - GSR; LabVIEW; stress detection; MATLAB; IoT; bluetooth
SP  - 1217
SN  - 1546-2226
Y1  - 2023///
JF  - Computers, Materials & Continua
UR  - http://doi.org/10.32604/cmc.2023.023894
TI  - Stress Detector Supported Galvanic Skin Response System with IoT and LabVIEW GUI
EP  - 1233
A1  - Singh, Rajesh
A1  - Gehlot, Anita
A1  - Saxena, Ritika
A1  - Alsubhi, Khalid
A1  - Anand, Divya
A1  - Delgado Noya, Irene
A1  - Vaseem Akram, Shaik
A1  - Choudhury, Sushabhan
ER  -