Abstract. We present a gesture recognition method based on deformable shapes and curvature templates. Gestures are modeled using a spline representation that is enhanced with elastic properties: a gesture trajectory as a whole or any of its parts may stretch or bend. We regard such an approach as well-suited for dealing with the inherent variability of human gesture execution. The results of our gesture classifier are demonstrated with a video-based acquisition approach. Key words: gesture recognition, elastic matching, deformation energies 1

Gestures can offer an intuitive way to interact with a computer. In this paper, we investigate the question whether gesturing with a mobile phone can help to perform complex tasks involving two devices. We present results from a user study, where we asked participants to spontaneously produce gestures with their phone to trigger a set of different activities. We investigated three conditions (device configurations): phone-to-phone, phone-to-tabletop, and phone to public display. We report on the kinds of gestures we observed as well as on feedback from the participants, and provide an initial assessment of which sensors might facilitate gesture recognition in a phone. The results suggest that phone gestures have the potential to be easily understood by end users and that certain device configurations and activities may be well suited for gesture control.

Abstract not found

are now relatively well established, the related field of Computer Supported Collaborative Research (CSCR) is newly proposed here. An analysis of the principles and issues behind CSCR is performed leading to a full definition and specification of the CSCR domain is provided with a view to setting up an e-laboratory designed to support research students and their supervisors wherever they are located, as well as general collaborative research supporting diverse faculties and business developments. The present state of the subject with a literature review of the parent subjects have been considered to determine the models and methodologies necessary. The analysis will lead to the design of a particular computer interface and collaborative support engine to support the research community. This is to be trialled on research projects and through an iterative process of feedback and re-design to create an effective interface and collaborative e- laboratory. The primary outcome will be the analysis and re-design of the online e-research laboratory

Interaction with eyes-free and gestural interfaces