Recent advancements in facial expression recognition systems: A survey
- Resource Type
- Conference
- Authors
- Asad, Uzair; Kashyap, Nirbhay; Singh, Shailendra Narayan
- Source
- 2017 International Conference on Computing, Communication and Automation (ICCCA) Computing, Communication and Automation (ICCCA), 2017 International Conference on. :1203-1208 May, 2017
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Face recognition
Feature extraction
Support vector machines
Face
Databases
Servers
Image recognition
Face detection
Feature selection
Expression classification
BU-3DFE database
Cohn Kanade database
- Language
A facial expression is exhibited by the movement of muscles underneath the face skin. Automatic Facial Expression Recognition comprises of three main phases: Feature Extraction, Feature Selection and Expression Classification. Facial Expression Recognition (FER) has a very important role in computer vision, human machine interaction and modern gaming. The objective of this research work is to explore the latest developments in Facial Expression Recognition domain. Our work identified the different models that are being utilized for feature extraction, the methods used for feature selection process and the classifiers employed for the purpose of expression classification. We gathered all the data like the methods used in different publications and their main contribution in this field and assembled the information in a tabulated form. We also tried to find out what could be the upcoming developments in Facial Expression Recognition Systems as future scope.