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The Scientific World Journal
Volume 2013 (2013), Article ID 589636, 11 pages
http://dx.doi.org/10.1155/2013/589636
Research Article

Robust Human Machine Interface Based on Head Movements Applied to Assistive Robotics

1Gabinete de Tecnología Médica, Facultad de Ingeniería, Universidad Nacional de San Juan, 5400 San Juan, Argentina
2Instituto de Automática, Facultad de Ingeniería, Universidad Nacional de San Juan, 5400 San Juan, Argentina
3Departamento de Engenharia Elétrica, Universidade Federal do Espírito Santo, 29075910 Vitoria, ES, Brazil

Received 8 August 2013; Accepted 2 October 2013

Academic Editors: Z. Wang and H.-W. Wu

Copyright © 2013 Elisa Perez et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. D. J. Bruemmer, D. A. Few, R. L. Boring, J. L. Marble, M. C. Walton, and C. W. Nielsen, “Shared understanding for collaborative control,” IEEE Transactions on Systems, Man, and Cybernetics A, vol. 35, no. 4, pp. 494–504, 2005. View at Publisher · View at Google Scholar · View at Scopus
  2. C. Galindo, J. Gonzalez, and J.-A. Fernández-Madrigal, “Control architecture for human-robot integration: application to a robotic wheelchair,” IEEE Transactions on Systems, Man, and Cybernetics B, vol. 36, no. 5, pp. 1053–1067, 2006. View at Publisher · View at Google Scholar · View at Scopus
  3. E. Perez, C. Soria, O. Nasisi, T. Freire-Bastos, and V. Mut, “Robotic wheelchair controlled through a vision­based interface,” Robotica, vol. 30, no. 5, pp. 691–708, 2012. View at Publisher · View at Google Scholar
  4. T. Freire-Bastos, M. Sarcinelli, A. Ferreira et al., “Case study: cognitive control of a robotic wheelchair,” in Wearable Robots: Biomechatronic Exoskeletons, J. L. Pons, Ed., pp. 315–319, John Wiley & Sons, 2008. View at Google Scholar
  5. A. Ferreira, W. C. Celeste, F. A. Cheein, T. Freire-Bastos, M. Sarcinelli-Filho, and R. Carelli, “Human-machine interfaces based on EMG and EEG applied to robotic systems,” Journal of NeuroEngineering and Rehabilitation, vol. 5, article 10, 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. F. Auat Cheein, N. Lopez, C. M. Soria, F. A. di Sciascio, F. Lobo Pereira, and R. Carelli, “SLAM algorithm applied to robotics assistance for navigation in unknown environments,” Journal of NeuroEngineering and Rehabilitation, vol. 7, no. 1, article 10, 2010. View at Publisher · View at Google Scholar · View at Scopus
  7. R. Barea, L. Boquete, M. Mazo, and E. López, “System for assisted mobility using eye movements based on electrooculography,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 10, no. 4, pp. 209–218, 2002. View at Publisher · View at Google Scholar · View at Scopus
  8. H. Vie Christensen and J. C. Garcia, Infrared Non-Contact Head Sensor, for Control of Wheelchair Movements, IOS Press, 2003.
  9. S. Manogna, S. Vaishnavi, and B. Geethanjali, “Head movement based assist system for physically challenged,” in Proceedings of the 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE '10), June 2010. View at Publisher · View at Google Scholar · View at Scopus
  10. J. S. Ju, Y. Shin, and E. Y. Kim, “Vision based interface system for hands free control of an intelligent wheelchair,” Journal of NeuroEngineering and Rehabilitation, vol. 6, no. 1, article 33, 2009. View at Publisher · View at Google Scholar · View at Scopus
  11. L. Montesano, J. Minguez, J. M. Alcubierre, and L. Montano, “Towards the adaptation of a robotic wheelchair for cognitive disabled children,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '06), pp. 710–716, Beijing, China, October 2006. View at Publisher · View at Google Scholar · View at Scopus
  12. C. Bauckhage, T. Käster, A. M. Rotenstein, and J. K. Tsotsos, “Fast learning for customizable head pose recognition in robotic wheelchair control,” in Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition (FGR '06), pp. 311–316, Southampton, UK, April 2006. View at Publisher · View at Google Scholar · View at Scopus
  13. Y. Kobayashi, Y. Kinpara, T. Shibusawa, and Y. Kuno, “Robotic wheelchair based on observations of people using integrated sensors,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '09), pp. 2013–2018, St. Louis, Mo, USA, October 2009. View at Publisher · View at Google Scholar · View at Scopus
  14. B. Rebsamen, E. Burdet, C. Guan et al., “Controlling a wheelchair using a BCI with low information transfer rate,” in Proceedings of the 10th IEEE International Conference on Rehabilitation Robotics (ICORR '07), pp. 1003–1008, Noordwijk, The Netherlands, June 2007. View at Publisher · View at Google Scholar · View at Scopus
  15. I. Iturrate, J. M. Antelis, A. Kübler, and J. Minguez, “Non-invasive brain-actuated wheelchair based on a P300 neurophysiological protocol and automated navigation,” in Proceedings of the IEEE International Conference on Robotics and Automation, Kobe, Japan, 2009.
  16. C. de la Cruz, T. Freire-Bastos, F. A. A. Cheein, and R. Carelli, “SLAM-based robotic wheelchair navigation system designed for confined spaces,” in Proceedings of the IEEE International Symposium on Industrial Electronics (ISIE '10), pp. 2331–2336, Bari, Italy, July 2010. View at Publisher · View at Google Scholar · View at Scopus
  17. L. Zhou, C. L. Teo, and E. Burdet, “A nonlinear elastic path controller for a robotic wheelchair,” in Proceedings of the 3rd IEEE Conference on Industrial Electronics and Applications (ICIEA '08), pp. 142–147, Singapore, June 2008. View at Publisher · View at Google Scholar · View at Scopus
  18. C. de la Cruz, T. Freire-Bastos, and R. Carelli, “Adaptive motion control law of a robotic wheelchair,” Control Engineering Practice, vol. 19, no. 2, pp. 113–125, 2011. View at Publisher · View at Google Scholar · View at Scopus
  19. A. G. Mutambara, Decentralized Estimation and Control for Multi-Sensor Systems, CRC Press, Boca Raton, Fla, USA, 1998.
  20. A. Ferreira, D. C. Cavalieri, R. L. Silva, T. Freire-Bastos, and M. Sarcinelli-Filho, “A versatile robotic wheelchair commanded by brain signals or eye blinks,” in Proceedings of the 1st International Conference on Biomedical Electronics and Devices (BIODEVICES '08), vol. 2, pp. 62–67, Funchal, Portugal, January 2008. View at Scopus
  21. S. Gong, S. MacKenna, and A. Psarrou, Dynamic Vision from Images to Face Recognition, Imperial Collage Press, London, UK, 2000.
  22. K.-M. Cho, J.-H. Jang, and K.-S. Hong, “Adaptive skin-color filter,” Pattern Recognition, vol. 34, no. 5, pp. 1067–1073, 2001. View at Publisher · View at Google Scholar · View at Scopus
  23. M. J. Jones and J. M. Rehg, “Statistical color models with application to skin detection,” International Journal of Computer Vision, vol. 46, no. 1, pp. 81–96, 2002. View at Publisher · View at Google Scholar · View at Scopus
  24. R.-L. Hsu, M. Abdel-Mottaleb, and A. K. Jain, “Face detection in color images,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 5, pp. 696–706, 2002. View at Publisher · View at Google Scholar · View at Scopus
  25. M. A. Berbar, H. M. Kelash, and A. A. Kandeel, “Faces and facial features detection in color images,” in Proceedings of the Conference on Geometric Modeling and Imaging New Trends, pp. 209–214, IEEE, July 2006. View at Publisher · View at Google Scholar · View at Scopus
  26. E. Perez, C. Soria, N. M. López, O. Nasisi, and V. Mut, “Vision based interface applied to assistive robots,” International Journal of Advanced Robotic Systems, vol. 10, 2013. View at Publisher · View at Google Scholar
  27. E. Trucco and A. Verri, Introductory Techniques for 3-D Computer Vision, Prentice Hall, Upper Saddle River, NJ, USA, 1998.
  28. Y. Zhang, D. Hong, J. Chung, and S. Velinsky, “Dynamic model based robust tracking control of a differentially steered wheeled mobile robot,” in Proceedings of the American Control Conference, Philadelphia, Pa, USA, 1998.
  29. C. M. Soria, R. Carelli, and M. Sarcinelli-Filho, “Using panoramic images and optical flow to avoid obstacles in mobile robot navigation,” in Proceedings of the International Symposium on Industrial Electronics (ISIE '06), pp. 2902–2907, Montreal, Canada, July 2006. View at Publisher · View at Google Scholar · View at Scopus
  30. A. M. Cook and S. M. Hussey, Assistive Technologies: Principles and Practice, Mosby, St Louis, Mo, USA, 2002.