We describe spatio-temporal symmetry and its extraction via a Generalised Symmetry Operator. Its use in gait recognition is reinforced by the view from psychology that human gait is a symmetrical pattern of motion. We show that by including temporal information in our symmetry calculations we are not recognizing people by their body shape but also by their motion. Here, the new technique is app...

HISTORICAL BACKGROUND As the holy grail of computer vision research is to tell a story from a single image or a sequence of images, object recognition has been studied for more than four decades [9] [22]. Significant efforts have been paid to develop representation schemes and algorithms aiming at recognizing generic objects in images taken under different imaging conditions (e.g., viewpoint, i...

This paper elaborates on a computational model for speech recognition that is inspired by several interrelated strands of research in phonology, acoustic phonetics, speech perception, and neuroscience. The goals are twofold: (i) to explore frameworks for recognition that may provide a viable alternative to the current hidden Markov model (HMM) based speech recognition systems and (ii) to provid...

The widespread application of Web-based technology has contributed not only to the content of advertising but also to the improvement of presentation formats. Animation has become a powerful presentation format on the Web. Despite its potential benefits, however, animation is no panacea. Practitioners and academics have been paying increased attention to the exploration of effective advertising...

Music emotion plays an important role in music retrieval, mood detection and other music-related applications. Many issues for music emotion recognition have been addressed by different disciplines such as physiology, psychology, cognitive science and musicology. We present a support vector regression (SVR) based music emotion recognition system. The recognition process consists of three steps:...

The implementation of physiological signals, as an approach for emotion recognition in computer systems, is not a straight forward task. This paper discusses five main areas that lack of standards and guided principles, which have led HumanComputer Interaction (HCI) researchers to take critical decisions about (i) models, (ii) stimulus, (iii) measures, (iv) features and (v) algorithms with some...

Since decades, face recognition has become an active area of research in computer vision and psychology. The rapid developments of face recognition are being fueled by numerous advances in computer vision. An ongoing challenge in this field is to design an effective human-computer interaction (HCII). In this paper we will study the latest work done that has been done in the field of facial expr...

The six basic facial expressions (anger, disgust, fears, happy, sadness, surprise) which have been recognized in psychology are commonly used for facial expressions recognition research. In this work, we propose intuitive and effective facial features to recognize the six facial expressions by modifying the original facial feature points used by the original Active Appearance Model (AAM). The S...