This paper is published in Volume-11, Issue-1, 2025
Area
IOT And DL
Author
Vaibhav Patil, Dewansh Pillare, Yash Suryawanshi, Ashfaq Shaikh, Monali P. Deshmukh
Org/Univ
International Institute of Information Technology, Pune, India
Keywords
CNN, Stress Detection, Wearable Sensors, Physical Health
Citations
IEEE
Vaibhav Patil, Dewansh Pillare, Yash Suryawanshi, Ashfaq Shaikh, Monali P. Deshmukh. Stress Detection with Wearable Sensors, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Vaibhav Patil, Dewansh Pillare, Yash Suryawanshi, Ashfaq Shaikh, Monali P. Deshmukh (2025). Stress Detection with Wearable Sensors. International Journal of Advance Research, Ideas and Innovations in Technology, 11(1) www.IJARIIT.com.
MLA
Vaibhav Patil, Dewansh Pillare, Yash Suryawanshi, Ashfaq Shaikh, Monali P. Deshmukh. "Stress Detection with Wearable Sensors." International Journal of Advance Research, Ideas and Innovations in Technology 11.1 (2025). www.IJARIIT.com.
Vaibhav Patil, Dewansh Pillare, Yash Suryawanshi, Ashfaq Shaikh, Monali P. Deshmukh. Stress Detection with Wearable Sensors, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Vaibhav Patil, Dewansh Pillare, Yash Suryawanshi, Ashfaq Shaikh, Monali P. Deshmukh (2025). Stress Detection with Wearable Sensors. International Journal of Advance Research, Ideas and Innovations in Technology, 11(1) www.IJARIIT.com.
MLA
Vaibhav Patil, Dewansh Pillare, Yash Suryawanshi, Ashfaq Shaikh, Monali P. Deshmukh. "Stress Detection with Wearable Sensors." International Journal of Advance Research, Ideas and Innovations in Technology 11.1 (2025). www.IJARIIT.com.
Abstract
Stress has a significant impact on both physical and mental health. The creation of systems for ongoing stress monitoring has been made easier by developments in wearable sensors and machine learning models. This study examines several studies on stress detection with wearable sensors and machine learning methods. The integration of these technologies aims to provide real-time stress detection systems for healthcare, workplace wellness, and personal care. This survey compares methodologies, sensor types, machine learning models, and the effectiveness of stress detection systems from multiple studies. Furthermore, we introduce a novel system based on Convolutional Neural Networks (CNNs) using physiological data from wearable sensors to detect stress in real-time.