Automatic facial expressions recognition using vision is an important subject towards human-robot interaction. Here is proposed a human face focus of attention technique and a faci...
One of the main difficulties when reconstructing human motion from monocular video is the depth ambiguity. Achieving a reconstruction, given the projection of the joints, can be r...
The paper discusses a top-down approach to model soccer knowledge, as it can be found in soccer theory books. The goal is to model soccer strategies and tactics in a way that they ...
Frank Dylla, Alexander Ferrein, Gerhard Lakemeyer,...
Abstract. The paper presents an implemented model for priming speech recognition, using contextual information about salient entities. The underlying hypothesis is that, in human-r...
This paper addresses the measurement of motion expressiveness in wheeled mobile robots. A neural network based supervised learning strategy is proposed as a method to fuse informat...