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Flexible Bi-modal Control Modes for Hands-Free Operation of a Wheelchair by Head Movements and Facial Expressions

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New Trends in Medical and Service Robots

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 20))

Abstract

Many kinds of head movements and facial expressions based human machine interfaces (HMIs) have been developed for hands-free control of electric-powered wheelchairs in order to assist disabled and elderly people. Most of these HMIs have a fixed configuration and do not allow users to choose a configuration suitable to their needs. It becomes necessary to provide users with different control modes and flexible configurations. This chapter presents five flexible bi-modal modes for hands-free control of a wheelchair that allow users to choose the most comfortable facial expressions and head movements. An Emotiv sensor is deployed to collect facial expressions and head movements for the bi-modal control modes. Two healthy subjects have participated in experiments, and have chosen their best configurations of the modes for controlling the wheelchair. Experimental results show that bi-modal control modes are flexible and allow users to select their preferred configurations for controlling the wheelchair reliably.

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References

  • Adachi, Y., Kuno, Y., Shimada, N., and Shirai, Y.: Intelligent wheelchair using visual information on human faces. In Intelligent Robots and Systems, pp. 354–359 (1998)

    Google Scholar 

  • Barea, R., Boquete, L., Mazo, M., López, E. and Bergasa, L.M.: EOG guidance of a wheelchair using neural networks. In Proc. of the 15th International Conference on Pattern Recognition, 4, 668–671 (2000)

    Google Scholar 

  • Barea, R., Boquete, L., Bergasa, L.M., López, E. and Mazo, M.: Electrooculography guidance of a wheelchair using eye movements codification. The International Journal of Robotics Research, 22 (7-8), 641–652 (2003)

    Google Scholar 

  • Bergasa, L.M., Mazo, M., Gardel, A., Barea, R., and Boquete, L.: Commands generation by face movements applied to the guidance of a wheelchair for handicapped people. In Proceedings of the 15th International Conference on Pattern Recognition, 4, 660–663 (2000)

    Google Scholar 

  • Carrino, F., Tscherrig, J., Mugellini, E., Abou Khaled, O. and Ingold, R.: Head-computer interface: a multimodal approach to navigate through real and virtual worlds. Human-Computer Interaction. Interaction techniques and environments. LNCS: Springer, 6762, 222–230 (2011)

    Google Scholar 

  • Christensen, H.V., and Garcia, J.C.: Infrared non-contact head sensor for control of wheelchair movements. In Proc. of the 8th European Conference for the Advancement of Assistive Technology in Europe, pp. 336–340 (2005)

    Google Scholar 

  • Crisman, E.E., Loomis, A., Shaw, R. and Laszewski, Z.: Using the eye wink control interface to control a powered wheelchair. In Engineering in Medicine and Biology Society: Vol. 13. In Proc. of the Annual International Conference of the IEEE, pp.1821–1822 (1991)

    Google Scholar 

  • Emotiv EPOC Specifications (2012) Retrieved August 14, 2013, from http://www.emotiv.com/epoc/download_specs.php

  • Felzer, T. and Freisleben, B.: HaWCoS: the hands-free wheelchair control system. In Proc. of the fifth international ACM conference on assistive technologies, pp. 127–134 (2002)

    Google Scholar 

  • Firoozabadi, S.M.P., Oskoei, M.A. and Hu, H.: A human-computer Interface based on forehead multi-channel bio-signals to control a virtual wheelchair. In Proc. of the 14th Iranian Conference on Biomedical Engineering, pp. 272–277 (2008)

    Google Scholar 

  • Gajwani, P.S. and Chhabria, S.A.: Eye motion tracking for wheelchair control. International Journal of Information Technology, 2(2), 185–187 (2010)

    Google Scholar 

  • Galán, F., Nuttin, M., Lew, E., Ferrez, P.W., Vanacker, G., Philips, J. and Millán, J.R.: A brain-actuated wheelchair: asynchronous and non-invasive brain–computer interfaces for continuous control of robots. Clinical Neurophysiology, 119(9), 2159–2169 (2008)

    Google Scholar 

  • Gomez-Gil, J., San-Jose-Gonzalez, I., Nicolas-Alonso, L.F. and Alonso-Garcia, S.: Steering a tractor by means of an EMG-based human machine interface. Sensors, 11(7), 7110–7126 (2011)

    Google Scholar 

  • Han, J.S., Zenn Bien, Z., Kim, D.J., Lee, H.E. and Kim. J.S.: Human machine interface for wheelchair control with EMG and its evaluation. In Engineering in Medicine and Biology Society: Vol. 2. In Proc. of the 25th Annual International Conference of the IEEE, pp.1602–1605 (2003)

    Google Scholar 

  • Jia, P., Hu, H., Lu, T. and Yuan, K.: Head gesture recognition for hands-free control of an intelligent wheelchair. Industrial Robot: An International Journal, 34(1), 60–68 (2007)

    Google Scholar 

  • Kuo, C.H. , Chan, Y.C., Chou, H.C. and Siao, J.W.: Eyeglasses based electrooculography human-wheelchair interface. In Systems, Man and Cybernetics, pp. 4746–4751 (2009)

    Google Scholar 

  • Moon, I., Lee, M., Chu, J. and Mun, M.: Wearable EMG-based HCI for electric-powered wheelchair users with motor disabilities. In Proc. of the IEEE International Conference on Robotics and Automation, pp. 2649–2654 (2005)

    Google Scholar 

  • Palankar, M., De Laurentis, K.J., Alqasemi, R., Veras, E., Dubey, R., Arbel, Y. and Donchin, E.: Control of a 9-DoF wheelchair-mounted robotic arm system using a P300 brain computer interface: Initial experiments. In Robotics and Biomimetics, pp. 348–353 (2008)

    Google Scholar 

  • Rebsamen, B., Burdet, E., Guan, C., Teo, C.L., Zeng, Q., Ang, M. and Laugier, C.: Controlling a wheelchair using a BCI with low information transfer rate. In Rehabilitation Robotics, pp. 1003–1008 (2007)

    Google Scholar 

  • Tamura, H., Manabe, T., Goto, T., Yamashita, Y. and Tanno, K.: A study of the electric wheelchair hands-free safety control system using the surface-electromygram of facial muscles. Intelligent Robotics and Applications. LNCS: Springer, 6425, 97–104 (2010)

    Google Scholar 

  • Tsui, C.S.L., Jia, P., Gan, J.Q., Hu, H. and Yuan, K.: EMG-based hands-free wheelchair control with EOG attention shift detection. In IEEE International Conference on Robotics and Biomimetics, pp. 1266–1271 (2007)

    Google Scholar 

  • Wei, L. and Hu, H.: EMG and visual based HMI for hands-free control of an intelligent wheelchair. In 8th World Congress on Intelligent Control and Automation, pp. 1027–1032 (2010)

    Google Scholar 

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Acknowledgments

The authors gratefully acknowledge the support of the EU Interreg SYSIASS project: Autonomous and Intelligent Healthcare System (http://www.sysiass.eu/), and the COALAS project: Cognitive Assisted Living Ambient System (http://www.coalas-project.eu/). The COALAS project has been selected in the context of the INTERREG IVA France (Channel)—European cross-border co-operation programme, which is co-financed by the ERDF. The 1st author has been supported by the Mexican National Council of Science and Technology (CONACYT), through the program “Becas para estudios de posgrado en el extranjero” (no. 183592) and by the Secretariat of Public Education of the Mexican Government (Secretaría de Educación Pública del Gobierno Mexicano) through the scholarship “Programa de apoyo al posgrado, beca complemento, ciclo 2013”. Our thanks also go to Robin Dowling for his technical support during the research.

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Correspondence to Ericka Janet Rechy-Ramirez .

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Rechy-Ramirez, E.J., Hu, H. (2014). Flexible Bi-modal Control Modes for Hands-Free Operation of a Wheelchair by Head Movements and Facial Expressions. In: Rodić, A., Pisla, D., Bleuler, H. (eds) New Trends in Medical and Service Robots. Mechanisms and Machine Science, vol 20. Springer, Cham. https://doi.org/10.1007/978-3-319-05431-5_8

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  • DOI: https://doi.org/10.1007/978-3-319-05431-5_8

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