Publication:
Better you: Automated tool that evaluates mental health and provides guidance for university students

Simple item page
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.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.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.doi10.1109/TENCON55691.2022.9977977en_US
dc.identifier.issn21593442
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/3144
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
dspace.entity.typePublication

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Better_you_Automated_tool_that_evaluates_mental_health_and_provides_guidance_for_university_students.pdf
Size:
816.61 KB
Format:
Adobe Portable Document Format
Description:
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Research Papers - Dept of Software Engineering