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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
IT PROFESSIONALS STRESS DETECTION BY IMAGE PROCESSING USING DEEP LEARNING
Authors
Priyadharshini, Mrs.P.Jasmine Lois Ebenezar, Mrs.S.CyciliyaPearlineChristy, Mrs.S.Cephas
Keywords
Deep Learning, MTCNN, facial expression detection
Abstract
Abstract: The goal of the project is to use image processing and machine learning to detect stress in IT professionals. The goal is to monitor a person's emotional state while working in front of a computer for an extended period of time in order to detect and reduce stress and provide a more comfortable work environment for IT personnel. This approach primarily focuses on stress management and creating a healthy and spontaneous work environment for employees in order to get the most out of them during working hours. The study's overall goal is to suggest a detection system that is reliable, convenient, and accurate. The study's precise objectives are to forecast stress in a person based on symptoms determined through monitoring, to examine stress levels in employees, and to offer information.
IJCRT's Publication Details
Unique Identification Number - IJCRT2205552
Paper ID - 218995
Page Number(s) - e830-e840
Pubished in - Volume 10 | Issue 5 | May 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Priyadharshini, Mrs.P.Jasmine Lois Ebenezar, Mrs.S.CyciliyaPearlineChristy, Mrs.S.Cephas, "IT PROFESSIONALS STRESS DETECTION BY IMAGE PROCESSING USING DEEP LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 5, pp.e830-e840, May 2022, Available at :http://www.ijcrt.org/papers/IJCRT2205552.pdf
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Volume 12 | Issue 7
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Volume 12 | Issue 7
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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