Towards Real-Life Facial Expression Recognition Systems

Towards Real Time Facial Expression Recognition

Facial expression recognition is a key aspect in the synthesis of adaptive human machine interfaces. If advanced expression recognition techniques are developed, machines can tailor their response to the feelings of their users. In this paper, we describe an algorithm which integrates Optical flow analysis and Support Vector Machines (SVM) to classify eight facial expressions with accuracies up...

Facial Expression Recognition Based on Structural Changes in Facial Skin

Facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. In recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. As machine vision and artificial intelligence advan...

Towards Spontaneous Facial Expression Recognition

Facial Expression Recognition in Real Time

Automatic recognition of facial expression is a necessary step toward the design of more natural human-computer interaction systems. This work presents an approach for the recognition of facial expressions in real time image sequence or video sequences. The faces features are tracked using SDM (Supervised Descent Method) Classification of the expression in the video sequences are performed usin...

Towards Personalised Gaming via Facial Expression Recognition

In this paper we propose an approach for personalising the space in which a game is played (i.e., levels) dependent on classifications of the user’s facial expression – to the end of tailoring the affective game experience to the individual user. Our approach is aimed at online game personalisation, i.e., the game experience is personalised during actual play of the game. A key insight of this ...