Face recognition: component-based versus global approaches
Computer Vision and Image Understanding - Special issue on Face recognition
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Real time facial expression recognition in video using support vector machines
Proceedings of the 5th international conference on Multimodal interfaces
Combined face recognition using wavelet packets and radial basis function neural network
CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies
CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies
A vision-based hybrid method for facial expression recognition
Proceedings of the 1st international conference on Ambient media and systems
Facial expression recognition - A real time approach
Expert Systems with Applications: An International Journal
Boosting encoded dynamic features for facial expression recognition
Pattern Recognition Letters
A novel face recognition system using hybrid neural and dual eigenspaces methods
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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This paper discusses the development of a portable real time emotion detection system for the use of disabled. This system allows the user to train the system with his/her profile comprising of expressions shown on the faces when different emotions occur. With a trained profile that can be updated flexibly, a user can detect his/her behaviour on real time basis. It utilizes the state of the art of face detection and recognition algorithms. The combination of Viola-Jones is used to detect frontal face from video which integrates Haar like features, integral image and AdaBoost learning rule. Principal Component Analysis that uses Eigenfaces to detect emotion shown on the faces is applied. For portability, it requires only a laptop or palmtop with built in camera and speaker that can be mounted on wheelchair easily. It works well in both indoor and outdoor environment day and night.