INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Facial Expression Analysis for Stress Detection in IT Professionals: A Machine Learning and Image Processing Framework
Authors Name:
Vemulapalli Pragna Sri
, S Sreeya , E Madhusudhan Yadav , P Krishna Rao
Unique Id:
IJSDR2404194
Published In:
Volume 9 Issue 4, April-2024
Abstract:
This paper introduces that our project tackles the challenge of stress detection and management in IT professionals using a novel approach that combines real-time image processing and dynamic machine learning. Unlike traditional methods that rely on self-reported surveys or lack real-time monitoring, our system utilizes facial expression analysis through advanced image processing techniques to detect stress in the moment. This allows for early intervention and personalized support. The project goes beyond mere detection by offering a holistic well-being program. By identifying individuals experiencing stress through both image processing and surveys, the system can deliver tailored stress management solutions. Furthermore, it facilitates routine evaluation of worker well-being, enabling adjustments to interventions as needed. Ultimately, the project prioritizes stress management to foster a healthy and creative work environment, maximizing employee performance and promoting overall well-being.
Keywords:
KNN, Image Processing, Remedy links, Live Cam
Cite Article:
"Facial Expression Analysis for Stress Detection in IT Professionals: A Machine Learning and Image Processing Framework", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.1338 - 1342, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404194.pdf
Downloads:
000338174
Publication Details:
Published Paper ID: IJSDR2404194
Registration ID:211066
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 1338 - 1342
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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