International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 110 - Number 2 |
Year of Publication: 2015 |
Authors: Akanksha Manuj, Supriya Agrawal |
10.5120/19286-0704 |
Akanksha Manuj, Supriya Agrawal . Automated Human Facial Expression and Emotion Detection: A Review. International Journal of Computer Applications. 110, 2 ( January 2015), 5-6. DOI=10.5120/19286-0704
Facial expression identifies the basic human emotions. It helps to tell the person by watching the image whether the person is actually telling the truth about what he is claiming or not. Human emotions detection is used in human computer interaction, military, law-enforcements, for autistic people and robotics etc. No one thought that detecting human emotions would be possible for a machine but computer science changed all that. Various techniques like Bezier curve, longest binary pattern and various classifiers have been implemented till now in this field. This paper will review the research work carried out in this field of human emotion detection from still images.