Recent “visual worlds” studies, wherein researchers study language in context by monitoring eye-movements in a visual scene during sentence processing, have revealed much about...
Marshall R. Mayberry, Matthew W. Crocker, Pia Knoe...
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
In this paper, we first present an Object Composition Petri Nets (OCPN) based model methodology for describing the dynamic behaviour of the multiple video objects and user interac...
Guidebots, or animated pedagogical agents, can enhance interactive learning environments by promoting deeper learning and improve the learner's subjective experience. Guidebo...
This work deals with modeling and markerless tracking of athletes interacting with sports gear. In contrast to classical markerless tracking, the interaction with sports gear come...
Bodo Rosenhahn, Christian Schmaltz, Thomas Brox, J...