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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | DEPRESSION DETECTION USING EMOTIONAL ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING |
| Authors Name: | Harsh Deore , Tejas Attarde , Purva Dinge , Akansha Desai , Prof. K. R. Patil |
| Unique Id: | IJSDR2305087 |
| Published In: | Volume 8 Issue 5, May-2023 |
| Abstract: | The psychological health of college students proves a vital role in their overall academic performance. Neglecting this can result in several problems such as stress, anxiety, depression, etc. These problems need to be detected and controlled at the initial stages itself for the better mental health of the student. Detecting depression in a vast no of college students is a challenging task. Most of the students are totally unaware that they may be having depression. If at all they are aware of it, some students conceal their depression from everyone. So, an automated system is required that will pick out the students who are dealing with depression. A system has been proposed here which captures frontal face videos of college students, extracts the facial features from each frame, and analyses these facial features to detect signs of depression in them. This system will be trained with frontal face images of happy, contempt, and disgusted faces. The presence of these features in the video frames will be analyzed to predict depression in the students. |
| Keywords: | Image processing, Feature Extraction, Facial Features, Depression Detection, feedback |
| Cite Article: | "DEPRESSION DETECTION USING EMOTIONAL ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.607 - 610, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305087.pdf |
| Downloads: | 000337067 |
| Publication Details: | Published Paper ID: IJSDR2305087 Registration ID:206287 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: 607 - 610 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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