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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 89))

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Abstract

This paper presents an interface to control an electric wheelchair by using the movements of the head, the voice and a mobile device. The system aims to cover the need of independence of severe disabled people that cannot use a common wheelchair joystick. The structure of the system as well as the preliminary results obtained are presented in this paper.

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References

  1. Infrared Non-Contact Head Sensor, for Control of Wheelchair Movements, http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.86.8316&rep=rep1&type=pdf

  2. SIAMO Wheelchair project, http://www.geintra-uah.org/archivos/1999-HMIs-Wheelcair-UAH.pdf

  3. Bradski, G., Kaehler, A.: Learning OpenCV: Computer Vision with the OpenCV Library (2008)

    Google Scholar 

  4. Optical Flow guide, http://robots.stanford.edu/cs223b05/notes/CS%20223-B%20T1%20stavens_opencv_optical_flow.pdf

  5. Viola, Jones: Rapid object detection using boosted cascade of simple features. In: Computer Vision and Pattern Recognition (2001)

    Google Scholar 

  6. Microsoft site for SAPI, http://www.microsoft.com/speech/default.aspx

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© 2011 Springer-Verlag Berlin Heidelberg

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Berjón, R., Mateos, M., Barriuso, A., Muriel, I., Villarrubia, G. (2011). Head Tracking System for Wheelchair Movement Control. In: Pérez, J.B., et al. Highlights in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 89. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19917-2_37

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  • DOI: https://doi.org/10.1007/978-3-642-19917-2_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19916-5

  • Online ISBN: 978-3-642-19917-2

  • eBook Packages: EngineeringEngineering (R0)

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