Did I Get It Right: Head Gestures Analysis for Human-Machine Interactions

This paper presents a system for another input modality in a multimodal human-machine interaction scenario. In addition to other common input modalities, e.g. speech, we extract head gestures by image interpretation techniques based on machine learning algorithms to have a nonverbal and familiar way of interacting with the system. Our experimental evaluation proofs the capability of the presented approach to work in real-time and reliable.1 1 Motivation Multimodal communication ways are becoming more important for a robust and flexible human-machine interaction in everyday surroundings. Therefore, our objective is to introduce a communication channel providing a natural and intuitive way of simple nonverbal communication. It emulates a common way of showing agreement / disagreement via head gestures, like it is known from human-human dialogs. Due to its simplicity and omnipresence in every-day life, this contributes to making dialog systems more efficient. 2 Use-Cases As already mentio...

• Type: Journal
• Year: 2009
• Where: HCI
• Authors: Jürgen Gast, Alexander Bannat, Tobias Rehrl, Gerhard Rigoll, Frank Wallhoff, Christoph Mayer, Bernd Radig
• Keywords: HCI 2009, Head Gestures, Human Computer Interaction, Human-machine Interaction, Human-machine Interaction Scenarios