Developing human-computer interfaces that fully exploit the information content available in human behaviour is challenging, particularly in unconstrained daily life settings. Key challenges are 1) to develop sensing systems that robustly and accurately capture human behaviour in ever-changing conditions, 2) to develop computational methods for automatic analysis and modelling that are able to cope with the large variability in human behaviour, and 3) to use the information extracted from such behaviour to develop novel human-computer interfaces that are highly interactive, multimodal and modelled after natural human-to-human interactions.
Our group works at the interface of human-computer interaction, computer vision, wearable computing, and eye tracking. We develop novel sensing systems and computational methods to analyse human behaviour automatically using ambient and on-body sensors. We specifically focus on visual and physical behaviour as we believe that these modalities are most promising for developing interfaces that offer human-like interaction capabilities. We study the systems and methods that we develop in the context of specific application domains, most importantly pervasive eye-based human-computer interfaces and computational behaviour analysis.