Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2568
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dc.contributor.authorPerera, B. T. N-
dc.contributor.authorJayarathne, B. G. D. N-
dc.contributor.authorDharmakeerthi, T. G. G. M-
dc.contributor.authorThanthilage, K. T. D. D. K-
dc.date.accessioned2022-06-03T06:19:49Z-
dc.date.available2022-06-03T06:19:49Z-
dc.date.issued2020-11-04-
dc.identifier.citationB. T. N. Perera, B. G. D. N. Jayarathne, T. G. G. M. Dharmakeerthi, K. T. D. D. K. Thanthilage and Y. H. P. P. Priyadarshana, "Shilpa: A Novel Neural Based Approach for Measuring Human Stress Level," 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2020, pp. 0308-0313, doi: 10.1109/IEMCON51383.2020.9284866.en_US
dc.identifier.issn2644-3163-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/2568-
dc.description.abstract21st century is far more advanced than the 20th century because of its new innovations along with the relevant technological mappings. Technology makes our day to day work easy. However, this has been led our simple life to be very complex. We have become really busy, money minded and most importantly we don't have time to spend with our families or thinking about ourselves. As Millennials form our childhood what we have experienced is the stress to be the best. The competition which has been generated around and among us cannot be handled; so, people have been depressed and this would let them even committing suicide. Therefore, a Learning Assistant for advanced level students, which has been named as “Shilpa”, would be a practical remedy and a companion to overcome such difficulties. Shilpa has been stepped forward to monitor students' stress levels and to help them understand their weak areas considering the curriculum of a particular subject. Once identifying a particularly weak area, Shilpa navigates the user to the summarized version of a weakly identified content of a lesson in which the user doesn't have to go through the entire course curriculum to improve his/her weak areas. The implemented system has been tested considering all the novel components, and an overall value of 0.81 has been experimented as per the precision. It can be concluded that this novel approach has achieved an overall 81% accuracy over the existing state-of-the-art baselines.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON);-
dc.subjectShilpaen_US
dc.subjectNovelen_US
dc.subjectNeural Baseden_US
dc.subjectApproachen_US
dc.subjectMeasuringen_US
dc.subjectHuman Stress Levelen_US
dc.titleShilpa: A Novel Neural Based Approach for Measuring Human Stress Levelen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/IEMCON51383.2020.9284866en_US
Appears in Collections:Department of Information Technology-Scopes
Research Papers - IEEE
Research Publications -Dept of Information Technology

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