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Identify Depression using Machine Learning & Image Processing


Bhosale Pooja H. , Svpm Coe malegaon (bk); Ghadage Madhuri Y., Svpm Coe malegaon (bk) baramati; Kanse Manisha R., Svpm Coe malegaon (bk) baramati; Mhamane Sarojini S., Svpm Coe malegaon (bk) baramati


Depression Assessment, Facial Expression, Machine Learning, Feature Selection, Pattern Recognition


Human emotions are an important part of our life. We express our feelings through emotions. When a person is sad, then the person causes a stress. But when that stress goes more than a week then such a condition called as a depression. Depression is caused due to the people live at fast life structure and cause pressure in their workplace, family etc. The aim of review paper specifically gives the methods for recognition of face, classification techniques for detection of different face parts like eyes, lips etc. By using this techniques and algorithm one can collect the database for depression analysis. Hence with the help of techniques and algorithms described in paper, it is easy to detect the depression without the physical presence of doctors.

Other Details

Paper ID: IJSRDV7I40081
Published in: Volume : 7, Issue : 4
Publication Date: 01/07/2019
Page(s): 74-76

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