Survey Paper on Face Based Depression Detection |
Author(s): |
| Shweta Bolake , Bharati Vidyapeeth College of Engineering Lavale,Pune; Kiran Mule, Bharati Vidyapeeth College of Engineering Lavale,Pune; Durshan Kulthe, Bharati Vidyapeeth College of Engineering Lavale,Pune; Kumkum Bala, Bharati Vidyapeeth College of Engineering Lavale,Pune |
Keywords: |
| Machine Learning, Training Data, Testing Data, Emotion Annotation |
Abstract |
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It is possible to approximate the cognitive system of a human being by means of an artificial intelligence. We are soon approaching the era when machines and robots will be able to correctly interpret people's emotions only from their facial expressions. in this project is being proposed is an artificial intelligence device to keep track of depression Using the visual and vocal expressions, you can get a pretty good idea of the level of depression that someone has. The first step in expanding depictions of visual representations is to include various visual features. in order to find and extract important visual aspects of expressional cues, the Deep Learning approach is used In the design, the proposed process, further investigation will be done on the topic of depression is in the general population. This solution performs significantly better than all other solutions in the same data set. |
Other Details |
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Paper ID: IJSRDV9I40136 Published in: Volume : 9, Issue : 4 Publication Date: 01/07/2021 Page(s): 272-275 |
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