International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Stress Monitoring and Relieving Application for IT Professionals

Abstract

The proposed solution presented in this report aims to address the critical issue of stress detection and management among IT professionals. Our innovative approach leverages machine learning and consists of four key components, three of which actively monitor and analyze an individual's stress levels through their keystroke dynamics, heart rate variability (HRV) via an external mouse (utilizing cost-effective IOT devices), and facial expressions captured by a webcam. The fourth component focuses on providing tailored recommendations and suggestions to help users reduce their detected stress levels. Stress is a prevalent concern among IT professionals, with potential long-term repercussions on both physical and mental health. Recognizing the urgency of addressing this problem, our system facilitates early stress detection and offers practical strategies to mitigate and maintain stress at manageable levels. The ultimate goal is to enhance the overall work experience, minimize health complications, and boost productivity among IT professionals who utilize our user-friendly approach, which integrates seamlessly with their everyday tools and equipment. This holistic solution holds the promise of a healthier, happier, and more productive workforce in the IT industry. Furthermore, our system is designed to be scalable and adaptable to various IT environments, allowing organizations to tailor it to their specific needs and preferences. It can be seamlessly integrated into existing IT infrastructure, making it a cost-effective and efficient solution for companies seeking to prioritize the well-being of their IT professionals.

Country : Sri Lanka

1 M. S. D. Perera2 S. M. D. A. R Jayathilake3 J. D. Ranasinghe4 S. V. Bartholomeusz5 H. M. Samadhi Chathuranga6 Samitha Vidhanaarachchi7 Thilanga Jayarathne8 Arosha Dasanayaka

  1. Undergraduate, Department of Computer Science and Software Engineering, Faculty of Computing, Sri Lanka Institute of Information and Technology, Colombo, Sri Lanka
  2. Undergraduate, Department of Computer Science and Software Engineering, Faculty of Computing, Sri Lanka Institute of Information and Technology, Colombo, Sri Lanka
  3. Undergraduate, Department of Computer Science and Software Engineering, Faculty of Computing, Sri Lanka Institute of Information and Technology, Colombo, Sri Lanka
  4. Undergraduate, Department of Computer Science and Software Engineering, Faculty of Computing, Sri Lanka Institute of Information and Technology, Colombo, Sri Lanka
  5. Lecturer, Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information and Technology, Colombo, Sri Lanka
  6. Lecturer, Department of Computer Science and Software Engineering, Faculty of Computing, Sri Lanka Institute of Information and Technology, Colombo, Sri Lanka
  7. CEO at Xinotech Technology Services Inc., Colombo, Sri Lanka
  8. Counselling Psychologist at Mind Heals, Kurunegala, Sri Lanka

IRJIET, Volume 7, Issue 10, October 2023 pp. 609-626

doi.org/10.47001/IRJIET/2023.710081

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