Multimodal data communication for human-robot interactions

Authors:
Frank Wallhoff;Tobias Rehrl;Jürgen Gast;Alexander Bannat;Gerhard Rigoll
Affiliations:
Human-Machine Communication, Department of Electrical Engineering and Information Technologies, Technische Universität München, Munich, Germany;Human-Machine Communication, Department of Electrical Engineering and Information Technologies, Technische Universität München, Munich, Germany;Human-Machine Communication, Department of Electrical Engineering and Information Technologies, Technische Universität München, Munich, Germany;Human-Machine Communication, Department of Electrical Engineering and Information Technologies, Technische Universität München, Munich, Germany;Human-Machine Communication, Department of Electrical Engineering and Information Technologies, Technische Universität München, Munich, Germany
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

Citing 4
Cited 0

Skin Detection in Video under Changing Illumination Conditions

ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Gaze-based interaction in various environments

VNBA '08 Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
Tekkotsu: a framework for AIBO cognitive robotics

AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
Static and dynamic hand-gesture recognition for augmented reality applications

HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, the development of a framework based on the Real-time Database (RTDB) for processing multimodal data is presented. This framework allows readily integration of input and output modules. Furthermore the asynchronous data streams from different sources can be approximately processed in a synchronous manner. Depending on the included modules, online as well as offline data processing is possible. The idea is to establish a real multimodal interaction system that is able to recognize and react to those situations that are relevant for human-robot interaction.