Surveys show that the mean absolute percentage error (MAPE) is the most widely used
measure of prediction accuracy in businesses and organizations. It is, however, biased …

Recently, a spatiotemporal local binary pattern operator from three orthogonal planes (LBP-
TOP) was proposed for describing and recognizing dynamic textures and applied to facial …

In this paper we propose an approach for personalising the space in which a game is played
(ie, levels) dependent on classifications of the user's facial expression—to the end of …

Manifold learning has been successfully applied to facial expression recognition by
modeling different expressions as a smooth manifold embedded in a high dimensional …

Emotion recognition has been improved recently and effectively used in medical and
diagnostic areas. Automatic recognition of facial expressions is an important application in …

Facial expression's machine analysis is one of the most challenging problems in Human–
Computer Interaction (HCI). Naturally, facial expressions depend on subtle movements of …

We address the problem of human emotion identification from still pictures taken in semi-
controlled environments. Histogram of Oriented Gradient (HOG) descriptors are considered …

Current quantitative methods of measuring player experience in games are mostly intrusive
to play and less suited to natural, non-laboratory play environments. This paper presents an …

Automatic recognition of facial expression is a necessary step toward the design of more
natural human-computer interaction systems. This work presents a user-independent …

Understanding player experiences is central to game design. Video captures of players is a
common practice for obtaining rich reviewable data for analysing these experiences …