Degree
Master of Science in Computer Science
Department
Department of Computer Science
Faculty / School
Faculty of Computer Sciences (FCS)
Date of Submission
2018-01-01
Supervisor
Dr. Muhammad Sarim, Visiting Faculty, Department of Computer Science
Document type
MSCS Survey Report
Abstract
Depression and anxiety are becoming a common disease; people are not aware that they are moving to depression in their daily life. To detect early symptoms of depression can save a life, the last stage of depression can make a human to do the suicidal decision. Computer vision and pattern recognition algorithms are more powerful to perform difficult tasks which can ignore by the human eyes, the machine can learn the human face and detect the expressions by pattern recognition algorithms that can help to detect anxiety and depression based on facial expressions. The study is based on the research survey about depression and anxiety, what reasons are making the teenagers and adults to become a depression, how facial expressions can help to detect the
Recommended Citation
Hasan, S. (2018). Detection of depression and anxiety by facial expression (Unpublished MSCS survey report). Institute of Business Administration, Pakistan. Retrieved from https://ir.iba.edu.pk/survey-reports-mscs/83
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