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

Promoting Remote Employee Well-being: Role of Emotion Detection, Social Media Analysis, Mental Health Monitoring, and Performance Tracking

Kushan Dimantha De SilvaDepartment of Computer Science & Software Engineering, Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri LankaHivindu PunsithDepartment of Computer Science & Software Engineering, Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri LankaH.D. Nethmi Prabodhika DamayanthiDepartment of Computer Science & Software Engineering, Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri LankaRamith PereraDepartment of Computer Science & Software Engineering, Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri LankaSanjeevi ChandrasiriDepartment of Computer Science & Software Engineering, Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri LankaHansi De SilvaDepartment of Computer Science & Software Engineering, Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy Road, Malabe, Sri Lanka

Vol 7 No 10 (2023): Volume 7, Issue 10, October 2023 | Pages: 42-48

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 24-10-2023

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Abstract

This research focuses on detecting and monitoring human emotions in remote employees to enhance mental well-being and work efficiency. Emotions are seen using cameras and heart rate measurements, comparing the two for accuracy. Sequential deep-learning models and sentiment analysis are employed to analyze social media behavior, with the goal of identifying and understanding the emotions expressed. Music recommendations are made based on the identified emotions. The study also monitors the mental health of remote employees by collecting feedback, predicting stress levels, and recommending therapies based on sleep data and emotional inputs. Additionally, employee performance is tracked by monitoring task completion and web activity, providing insights into work hours and productivity. This research aims to improve remote employees' mental health and work outcomes through emotion detection, social media analysis, mental health monitoring, therapy recommendation, and performance tracking.

Keywords

Emotion detection, Music recommendations, Performance tracking, Social media analysis, Stress prediction


Citation of this Article

Kushan Dimantha De Silva, Hivindu Punsith, H.D. Nethmi Prabodhika Damayanthi, Ramith Perera, Sanjeevi Chandrasiri, Hansi De Silva, “Promoting Remote Employee Well-being: Role of Emotion Detection, Social Media Analysis, Mental Health Monitoring, and Performance Tracking” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 10, pp 42-48, October 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.710006
Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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