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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 328))

Abstract

In this paper, a Brain Computer Interactive (BCI) robot motion control system for patients’ assistance is designed and implemented. The proposed system acquires data from the patient’s brain through a group of sensors using Emotiv Epoc neuroheadset. The acquired signal is processed. From the processed data the BCI system determines the patient’s requirements and accordingly issues commands (output signals). The processed data is translated into action using the robot as per the patient’s requirement. A Graphics user interface (GUI) is developed by us for the purpose of controlling the motion of the Robot. Our proposed system is quite helpful for persons with severe disabilities and is designed to help persons suffering from spinal cord injuries/ paralytic attacks. It is also helpful to all those who can’t move physically and find difficulties in expressing their needs verbally.

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References

  1. Lievesley, R., Wozencroft, M., Ewins, D.: The Emotiv EPOC neuroheadset:an inexpensive method of controlling assistive technologies using facial expressions and thoughts? Journal of Assistive Technologies 2, 67–82 (2011)

    Google Scholar 

  2. Le, T., Do, N., Torre, M., King, W., Pham, H., Delic, E., Thie, J., Siu, W.: Detection of and Interaction Using Mental States. United States Patent Application Publication, 2007/0173733 (2007), http://www.uspto.gov

  3. Millan, J., Renkens, F., Mourino, J., Gerstner, W.: Noninvasive brain-actuated control of a mobile robot by human EEG. IEEE Transactions on Biomedical Engineering 51(6), 1026–1033 (2004)

    Article  Google Scholar 

  4. Moon, I., Lee, M., Chu, J., Mun, M.: Wearable EMG-based HCI for electric-powered wheelchair users with motor disabilities. In: Proceedings of the IEEE International Conference on Robotics and Automation, Barcelono, Spain, pp. 2649–2654 (2005), http://www.ieeexplore.ieee.org/xplore/guesthome.jsp

  5. Fire bird V ATMEGA-2560 Hardware manual 2010-01-29.pdf

    Google Scholar 

  6. Fire bird V ATMEGA-2560 Hardware manual 2010-02-07.pdf

    Google Scholar 

  7. Kļonovs, J., Petersen, C.K.: Development of a Mobile EEG-Based Feature Extraction and Classification System for Biometric Authentication. Master’s thesis, Aalborg University Copenhagen (2012)

    Google Scholar 

  8. Iáñez, E., Furió, M.C., Azorín, J.M., Huizzi, J.A., Fernández, E.: Brain-robot interface for controlling a remote robot arm. In: Mira, J., Ferrández, J.M., Álvarez, J.R., de la Paz, F., Toledo, F.J. (eds.) IWINAC 2009, Part II. LNCS, vol. 5602, pp. 353–361. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  9. Poor, G.M., Leventhal, L.M., Kelley, S., Ringenberg, J., Jaffee, S.D.: Thought cubes: exploring the use of an inexpensive brain-computer interface on a mental rotation task. In: The Proceedings of the 13th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2011), pp. 291–292 (2010)

    Google Scholar 

  10. Thobbi, A., Kadam, R., Sheng, W.: Achieving Remote Presence using a Humanoid Robot Controlled by a Non-Invasive BCI Device. International Journal on Artificial Intelligence and Machine Learning 10, 41–45

    Google Scholar 

  11. Vourvopoulos, A., Liarokapis, F.: Brain-controlled NXT Robot: Tele-operating a robot through brain electrical activity. In: 2011 Third International Conference on Games and Virtual Worlds for Serious Applications (VS-GAMES), pp. 140–143 (May 2011)

    Google Scholar 

  12. Emotiv, Emotiv Software Development Kit User Manual Release 1.0.0.3

    Google Scholar 

  13. Ranky, G.N., Adamovich, S.: Analysis of a commercial EEG device for the control of a robot arm. In: Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, pp. 1–2 (March 2010)

    Google Scholar 

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Correspondence to Devashree Tripathy .

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© 2015 Springer International Publishing Switzerland

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Tripathy, D., Raheja, J.L. (2015). Design and Implementation of Brain Computer Interface Based Robot Motion Control. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 328. Springer, Cham. https://doi.org/10.1007/978-3-319-12012-6_32

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  • DOI: https://doi.org/10.1007/978-3-319-12012-6_32

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12011-9

  • Online ISBN: 978-3-319-12012-6

  • eBook Packages: EngineeringEngineering (R0)

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