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Stress Analysis and Care Prediction System for Online Workers

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dc.contributor.authorAmarasinghe, A. A. S. M
dc.contributor.authorMalassri, I. M. S
dc.contributor.authorWeerasinghe, K. C. N
dc.contributor.authorJayasingha, I. B
dc.contributor.authorAbeygunawardhana, P. K. W
dc.contributor.authorSilva, S
dc.date.accessioned2022-02-14T07:36:49Z
dc.date.available2022-02-14T07:36:49Z
dc.date.issued2021-12-09
dc.description.abstractWorking from home (WFH) online during the covid-19 pandemic has caused increased stress level. Online workers/students have been affecting by the crisis according to new researches. Natural response of body, to external and internal stimuli is stress. Even though stress is a natural occurrence, prolonged exposure while working Online to stressors can lead to serious health problems if any action will not be applied to control it. Our research has been conducted deeply to identify the best parameters, which have connection with stress level of online workers. As a result of our research, a desktop application has been created to identify the users stress level in real time. According to the results, our overall system was able to provide outputs with more than 70% accuracy. It will give best predictions to avoid the health problems. Our main goal is to provide best solution for the online workers to have healthy lifestyles. Updates for the users will be provided according to the feedback we will have in the future from the users. Our System will be a most valuable application in the future among online workers.en_US
dc.identifier.citationA. A. S. M. Amarasinghe, I. M. S. Malassri, K. C. N. Weerasinghe, I. B. Jayasingha, P. K. W. Abeygunawardhana and S. Silva, "Stress Analysis and Care Prediction System for Online Workers," 2021 3rd International Conference on Advancements in Computing (ICAC), 2021, pp. 329-334, doi: 10.1109/ICAC54203.2021.9671106.en_US
dc.identifier.doi10.1109/ICAC54203.2021.9671106en_US
dc.identifier.isbn978-1-6654-0862-2
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/1139
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2021 3rd International Conference on Advancements in Computing (ICAC);Pages 329-334
dc.subjectStress Analysisen_US
dc.subjectCare Prediction Systemen_US
dc.subjectOnline Workersen_US
dc.subjectkeystroke detectionen_US
dc.subjectCNNen_US
dc.subjectVGG16en_US
dc.titleStress Analysis and Care Prediction System for Online Workersen_US
dc.typeArticleen_US
dspace.entity.typePublication

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Research Papers - Dept of Computer Systems Engineering