Stress Analysis and Detection from Wearable Devices

Srikanth S.*, Senthamil R.**, Sourav Ganguly R.***
*-*** Department of Biomedical Engineering, Gnanamani College of Technology, Namakkal, Tamil Nadu. India.
Periodicity:July - December'2024
DOI : https://doi.org/10.26634/jwcn.13.1.20818

Abstract

Stress is an elevated psycho-physiological state of the human body, arising in response to a difficult event or stressful situation. Environmental factors that cause pressure are referred to as stressors. Prolonged exposure to multiple stressors simultaneously can adversely affect a person's mental and physical health, potentially leading to chronic health issues. The negative effects of mental stress on human health have been recognized for decades. High levels of stress should be detected early to prevent these adverse effects. While the stress response helps the body overcome challenges and prepare for threats, prolonged stress can harm health. This paper aims to design a basic, cost-effective, low-power smart band for healthcare that detects mental stress based on skin conductance. This band can continuously monitor the user's mental stress and wirelessly transmit stress-related data to the user's smartphone. It not only helps users better understand their stress levels but also provides physicians with reliable data for improved treatment. The inputs to this tool come from various alerts generated by different sensors.

Keywords

Physiological Monitoring, Stress Sensors, Machine Learning in Health, Stress Response Measurement, Continuous Health Monitoring, Real-Time Stress Detection, Wearable Health Devices, Stress Management Tools, Biometric Data Analysis, Sensor Data Interpretation, Personalized Health Insights.

How to Cite this Article?

Srikanth, S., Senthamil, R., and Ganguly, R. S. (2024). Stress Analysis and Detection from Wearable Devices. i-manager’s Journal on Wireless Communication Networks, 13(1), 26-30. https://doi.org/10.26634/jwcn.13.1.20818

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