IoT-Infused Stress Analysis and Recommendation System for Humans Through Sensor Data Monitoring

Authors

  • G. Rajasekaran Department of Computer Science and Engineering, Dhaanish Ahmed College of Engineering, Padappai, Chennai, Tamil Nadu, India
  • Y. Devi Priya Department of Artificial Intelligence and Data Science, Dhaanish Ahmed College of Engineering, Padappai, Chennai, Tamil Nadu, India
  • C. Raja Abi Department of Artificial Intelligence and Data Science, Dhaanish Ahmed College of Engineering, Padappai, Chennai, Tamil Nadu, India
  • T. Shynu Dhaanish Ahmed College of Engineering, Padappai, Chennai, Tamil Nadu, India
  • M. Mohamed Sameer Ali Dhaanish Ahmed College of Engineering, Padappai, Chennai, Tamil Nadu, India
  • S. Suman Rajest Dhaanish Ahmed College of Engineering, Padappai, Chennai, Tamil Nadu, India
  • J. Mohamed Zakkariya Maricar Department of Computer Science and Engineering, Dhaanish Ahmed College of Engineering, Padappai, Chennai, Tamil Nadu, India

DOI:

https://doi.org/10.51699/cajmns.v6i4.3001

Keywords:

Stress Management, Remote Workers, Students, Mental Health, Physiological Responses, Technological Innovations, Embedded Systems, Real-Time Operating System (RTOS)

Abstract

This research conducts a thorough examination of the physiological reactions to stress, particularly in the setting of remote work and virtual learning environments, in light of the heightened stress levels observed among workers and students during the COVID-19 pandemic. The study carefully examines several factors that affect stress levels in both remote workers and students, recognising the importance of understanding these responses. The research used a multidisciplinary methodology, integrating perspectives from psychology, physiology, and technology, to elucidate the principal elements that exacerbate stress in these populations. The suggested approach has significant effects on occupational health because it provides remote workers with access to tools and resources that can improve their work environments. Similarly, the system can enhance the health of students learning online by providing them with essential support during the challenges of remote learning. Additionally, this technology can be applied in areas beyond these. It is useful in telemedicine and helps create technology-based solutions for managing stress and improving health. We aim to help individuals manage the stress of working from home and learning online by leveraging new technologies and a deeper understanding of psychology. Ultimately, our goal is to help people become more resilient and healthy in the face of these new challenges.

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S. Dahiya, U. Gupta, V. Dodwad, B. J. Kukreja, and P. Dasgupta, “The enzyme activity of alkaline phosphatase in gingival crevicular fluid of smokers and non-smokers with chronic periodontitis before and after phase I therapy,” J. Pharm. Biomed. Sci., vol. 32, no. 32, pp. 1348–1353, Jul. 2013.

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2025-11-01

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G. Rajasekaran, Y. Devi Priya, C. Raja Abi, T. Shynu, M. Mohamed Sameer Ali, S. Suman Rajest, & J. Mohamed Zakkariya Maricar. (2025). IoT-Infused Stress Analysis and Recommendation System for Humans Through Sensor Data Monitoring. Central Asian Journal of Medical and Natural Science, 6(4), 2485–2500. https://doi.org/10.51699/cajmns.v6i4.3001

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