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Human-Wheelchair System Controlled by Through Brain Signals

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9835))

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Abstract

This work presents a dynamic controller for a robotic wheelchair, that allows people with lower and upper extremity impairments to move through of brain signals. The person receives visual feedback of the movement of the robot and it sends desired position-velocity commands through of the Emotiv EPOC device. The desired velocity of the wheelchair is considered as a function of the disregard of the person to move the robotic wheelchair. Additionally, the kinematic and dynamic modeling of a human-wheelchair system where it is considered that its mass center is not located at the wheels’ axis center of the wheelchair. Finally, the results are reported to verify the performance of the proposed system.

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References

  1. Bastos-Filho, T.F.: Towards a new modality independent interface for a robotic wheelchair. IEEE Trans. Neural Syst. Rehabil. Eng. 22(3), 567–584 (2014)

    Article  Google Scholar 

  2. Wang, Y., Chen, W.: Hybrid map-based navigation for intelligent wheelchair. In: IEEE International Conference on Robotics and Automation, China, pp. 637–642 (2011)

    Google Scholar 

  3. Andaluz, V.H., Ortiz, J.S., Sanchéz, J.S.: Bilateral control of a robotic arm through brain signals. In: De Paolis, L.T., Mongelli, A. (eds.) AVR 2015. LNCS, vol. 9254, pp. 355–368. Springer, Heidelberg (2015)

    Google Scholar 

  4. Mazo, M.: An integral system for assisted mobility. IEEE Robot. Autom. Mag. 8(1), 46–56 (2001)

    Article  Google Scholar 

  5. Zeng, Q., Teo, C., Rebsamen, B., Burdet, E.: A collaborative wheelchair system. IEEE Trans. Neural Syst. Rehabil. Eng. 16(2), 161–170 (2008)

    Article  Google Scholar 

  6. Parikh, S.P., Grassi, V., Kumar, V., Okamoto, J.: Integrating human inputs with autonomous behaviors on an intelligent wheelchair platform. IEEE Intell. Syst. 22(2), 33–41 (2007)

    Article  Google Scholar 

  7. Biswas, K., Mazumder, O., Kundu, A.S.: Multichannel fused EMG based biofeedback system with virtual reality for gait rehabilitation. In: IEEE Proceedings in International Conference on Intelligent Human Computer Interaction, India (2012)

    Google Scholar 

  8. Hirche, S., Buss, M.: Human-oriented control for haptic teleoperation. Proc. IEEE 100(3), 623–647 (2012)

    Article  Google Scholar 

  9. Emotiv Systems Electronics Company. http://emotiv.com/

  10. Jang, W.A., Lee, S.M., Lee, D.H.: Development BCI for individuals with severely disability using EMOTIV EEG headset and robot. In: 2014 International Winter Workshop on Brain-Computer Interface (BCI) (2014)

    Google Scholar 

  11. Enache, A., Cepisca, C., Paraschiv, M., Banica, C.: Virtual instrument for electroencephalography data acquisition. In: 7th International Symposium on Advanced Topics in Electrical Engineering (ATEE), pp. 1–4 (2011)

    Google Scholar 

  12. Huang, D., Qian, K., Fei, D.-Y., Jia, W.: Electroencephalography (EEG)-based Brain-Computer Interface (BCI): a 2-D virtual wheelchair control based on event-related desynchronization/synchronization and state control. IEEE Trans. Neural Syst. Rehabil. Eng. 20, 379–388 (2011)

    Article  Google Scholar 

  13. Sapey, B., Stewart, J., Donaldson, G.: Increases in wheelchair use and perceptions of disablement. Disabil. Soc. 20(5), 489–505 (2005)

    Article  Google Scholar 

  14. Andaluz, V.H., Canseco, P., Varela, J., Ortiz, J.S., Pérez, M.G., Roberti, F., Carelli, R.: Robust control with dynamic compensation for human-wheelchair system. In: Zhang, X., Liu, H., Chen, Z., Wang, N. (eds.) ICIRA 2014, Part I. LNCS, vol. 8917, pp. 376–389. Springer, Heidelberg (2014)

    Google Scholar 

  15. Andaluz, V.H., Canseco, P., Varela, J., Ortiz, J.S., Pérez, M.G., Morales, V., Robertí, F., Carelli, R.: Modeling and control of a wheelchair considering center of mass lateral displacements. In: Liu, H., Kubota, N., Zhu, X., Dillmann, R. (eds.) ICIRA 2015. LNCS, vol. 9246, pp. 254–270. Springer, Heidelberg (2015)

    Chapter  Google Scholar 

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Acknowledgment

The authors would like to thanks to the Universidad Técnica de Ambato for financing the project Robotic Assistance for Persons with Disabilities (Resolution: 1151-CU-P-2012). Also to the Universidad de las Fuerzas Armadas ESPE and to the Escuela Superior Politécnica de Chimborazo for the support to develop of the Master’s Thesis Control de una silla de ruedas a través de señales cerebrales.

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Correspondence to Víctor H. Andaluz .

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Ortiz, J.S., Andaluz, V.H., Rivas, D., Sánchez, J.S., Espinosa, E.G. (2016). Human-Wheelchair System Controlled by Through Brain Signals. In: Kubota, N., Kiguchi, K., Liu, H., Obo, T. (eds) Intelligent Robotics and Applications. ICIRA 2016. Lecture Notes in Computer Science(), vol 9835. Springer, Cham. https://doi.org/10.1007/978-3-319-43518-3_21

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  • DOI: https://doi.org/10.1007/978-3-319-43518-3_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43517-6

  • Online ISBN: 978-3-319-43518-3

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