People express their mental states all the time, even when interacting with machines. These
mental states shape the decisions that we make, govern how we communicate with others …

Abstract Interpretation of human activity and the detection of associated events are eased if
appropriate models of context are available. A method is presented for automatically …

The ability to predict the intentions of people based solely on their visual actions is a skill
only performed by humans and animals. This requires segmentation of items in the field of …

Length of stay (LOS) is often used as a proxy measure of a patient'resource consumption
because of the practical difficulties of directly measuring resource consumption and the …

Service robots which act in environments populated by humans have become very popular
in the last few years. A variety of systems exists which act for example in hospitals, office …

A hybrid model comprised of Gaussian Mixtures Models (GMMs) and Hidden Markov
Models (HMMs) is used to model generic sounds with large intra class perceptual variations …

This paper presents a method for learning decision theoretic models of facial expressions
and gestures from video data. We consider that the meaning of a facial display or gesture to …

MAP estimation of Gaussian mixtures through maximisation of penalised likelihoods was
used to learn models of spatial context. This enabled prior beliefs about the scale …

We consider the problem of learning how a person's face behaves in a long video
sequence, with the aim of synthesising convincing sequences demonstrating the same …

In this paper we propose a new approach capable of determining clinically meaningful
patient groups from a given dataset of patient spells. We hypothesise that the skewed …