This paper presents a motion-capture-based control framework for third-person view virtual reality applications. Using motion capture devices, a user can directly control the full...
Abstract. Humans demonstrate a remarkable ability to parse complicated motion sequences into their constituent structures and motions. We investigate this problem, attempting to le...
In the context of a larger project dealing with kansei analysis of movement, we present a basic method for applying real-time filters to human motion capture data in order to modi...
Tracking human lips in video is an important but notoriously dicult task. To accurately recover their motions in 3D from any head pose is an even more challenging task, though s...
At the t2i Lab we focus on tangible user interfaces (TUIs) to advance and improve the user experience in computer supported learning and problem solving. By directly interacting w...