Detection of depression and anxiety by facial expression
Master of Science in Computer Science
Faculty / School
Faculty of Computer Sciences (FCS)
Department of Computer Science
Date of Award
Dr. Muhammad Sarim.
Committee Member 1
Dr. Muhammad Sarim, Supervisor, Department of Computer Science, Institute of Business Administration (IBA), Karachi
MSCS Survey Report
Computer vision, Image processing--Digital techniques, Optical pattern recognition.
Abstract / Summary
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
Hasan, S. (2018). Detection of depression and anxiety by facial expression (Unpublished survey report). Retrieved from https://ir.iba.edu.pk/research-projects/51
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