Title

Detection of depression and anxiety by facial expression

Degree

Master of Science in Computer Science

Faculty / School

Faculty of Computer Sciences (FCS)

Department

Department of Computer Science

Date of Award

Summer 2018

Advisor/Supervisor

Dr. Muhammad Sarim.

Committee Member 1

Dr. Muhammad Sarim, Supervisor, Department of Computer Science, Institute of Business Administration (IBA), Karachi

Project Type

MSCS Survey Report

Access Type

Restricted Access

Keywords

Computer vision, Image processing--Digital techniques, Optical pattern recognition.

Subjects

Computer Science

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

Pages

1

This document is currently not available here.

The full text of this document is only accessible to authorized users.

Share

COinS