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The issues of fusion with client-dependent and confidence information have been well studied separately in biometric authentication. In this study, we propose to take advantage of both sources of information in a discriminative framework. Initially, each s ...
In this paper, we introduce probabilistic framework for robust identification of the user goals in human-robot speech-based interaction. The concept of Bayesian networks is used for interpreting multimodal signals in the spoken dialogue between a tour-guid ...
Estimating the {\em wandering visual focus of attention} (WVFOA) for multiple people is an important problem with many applications in human behavior understanding. One such application, addressed in this paper, monitors the attention of passers-by to outd ...
In this work we explore the potentialities of a representational framework based on Matching Pursuit (MP) for the decomposition of audio-visual signals over redundant dictionaries. It is relatively easy for a human to correctly interpret a scene consisting ...
This paper exposes the Rapid Dialogue Prototyping Methodology [1, 2, 3], a methodology allowing the easy and automatic derivation of an ad hoc dialogue management system from a specific task description. The goal of the produced manager is to provide the u ...
In this paper, we introduce Bayesian networks architecture for combining speech-based information with that from another modality for error handling in human-robot dialogue system. In particular, we report on experiments interpreting speech and laser scann ...
This paper develops the concept of mediators: virtual interfaces with haptic feedback for teleoperation. Our approach is to replace physical operator interfaces by fully parameterizable adaptive virtual interfaces. Mediators open new possibilities for mult ...
We present a training and testing method for Input-Output Hidden Markov Model that is particularly suited for classification of sequences in which class information accumulates over time. We discuss two such cases: the discrimination of mental tasks from s ...
This thesis aims at improving the perceptional side of interaction to enable the handling of more complex situations. For the Swiss National Exposition Expo.02 the robot RoboX and an event-driven interaction system have been designed by members of our lab. ...
In this paper, we address the problem of the recognition of isolated complex mono- and bi-manual hand gestures. In the proposed system, hand gestures are represented by the 3D trajectories of blobs obtained by tracking colored body parts. In this paper, we ...