1. SLIIT RDA
  2. Scopus
  3. 2022
  4. Faculty of Computing
  5. Department of Computer Science and Software Engineering
Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/3144
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dc.contributor.authorEeswar, S. S-
dc.contributor.authorSamaratunga, J. S-
dc.contributor.authorNivethika, G-
dc.contributor.authorAnjana, W.W.M.-
dc.contributor.authorJayasingha, T.B.-
dc.contributor.authorPandithakoralage, S-
dc.contributor.authorKasthurirathna, D-
dc.date.accessioned2023-01-24T02:48:26Z-
dc.date.available2023-01-24T02:48:26Z-
dc.date.issued2022-11-04-
dc.identifier.citationS. S. Eeswar et al., "Better you: Automated tool that evaluates mental health and provides guidance for university students," TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON), Hong Kong, Hong Kong, 2022, pp. 1-6, doi: 10.1109/TENCON55691.2022.9977977.en_US
dc.identifier.issn21593442-
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/3144-
dc.description.abstractThis research paper proposes a system that evaluates mental health through text-based, voice-based and facial emotion recognition. After predicting the user's overall emotional state, activity suggestions and close contact interactions will be suggested to improve their mental health.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofseriesIEEE Region 10 Annual International Conference, Proceedings/TENCON;Volume 2022-November-
dc.subjectActivity suggestionen_US
dc.subjectClose friends interactionen_US
dc.subjectEmotion recognitionen_US
dc.subjectFacial emotion recognitionen_US
dc.subjectMental Healthen_US
dc.subjectText-based emotion recognitionen_US
dc.subjectVoice-based emotion recognitionen_US
dc.titleBetter you: Automated tool that evaluates mental health and provides guidance for university studentsen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TENCON55691.2022.9977977en_US
Appears in Collections:Department of Computer Science and Software Engineering
Research Papers - Dept of Computer Science and Software Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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