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Head-Computer Interface: A Multimodal Approach to Navigate through Real and Virtual Worlds

  • Francesco Carrino
  • Julien Tscherrig
  • Elena Mugellini
  • Omar Abou Khaled
  • Rolf Ingold
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6762)

Abstract

This paper presents a novel approach for multimodal interaction which combines user mental activity (thoughts and emotions), user facial expressions and user head movements. In order to avoid problems related to computer vision (sensitivity to lighting changes, reliance on camera position, etc.), the proposed approach doesn’t make use of optical techniques. Furthermore, in order to make human communication and control smooth, and avoid other environmental artifacts, the used information is non-verbal. The head’s movements (rotations) are detected by a bi-axial gyroscope; the expressions and gaze are identified by electromyography and electrooculargraphy; the emotions and the thoughts are monitored by electroencephalography. In order to validate the proposed approach we developed an application where the user can navigate through a virtual world using his head. We chose Google Street View as virtual world. The developed application was conceived for a further integration with a electric wheelchair in order to replace the virtual world with a real world. A first evaluation of the system is provided.

Keywords

Gesture recognition Brain-Computer Interface multimodality navigation through real and virtual worlds human-computer interaction psycho-physiological signals 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Francesco Carrino
    • 1
    • 2
  • Julien Tscherrig
    • 1
  • Elena Mugellini
    • 1
  • Omar Abou Khaled
    • 1
  • Rolf Ingold
    • 2
  1. 1.College of Engineering and Architecture of FribourgSwitzerland
  2. 2.University of FribourgSwitzerland

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