Abstract
This paper presents the research on the possibility of control of the 6-axis robot using a brain-computer interface (BCI) based on Steady State Evoked Potential (SSVEP) signals. In the first paragraph, general information about brain-computer communication are presented. In the next paragraph the used in investigations equipment is described. The recorded SSVEP signals and graphs obtained in initial tests are shown. In the last part, the experimental procedures and results of research are described.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kubacki, A., Milecki, A., Application of bio signals in the brain-device interfaces. In: Automation 2017, pp. 108–119 (2017)
Wolpaw, J.R., Birbaumer, N., McFarland, D.J., Pfurtscheller, G., Vaughan, T.M.: Brain–computer interfaces for communication and control. Clin. Neurophysiol. 113(6), 767–791 (2002)
Bi, L., Fan, X., Jie, K., Teng, T., Ding, H., Liu, Y.: Using a head-up display-based steady-state visually evoked potential brain-computer interface to control a simulated vehicle. IEEE Trans. Intell. Transp. Syst. 15(3), 959–966 (2014)
Varadan, V.K., Oh, S., Kwon, H., Hankins, P.: Wireless point-of-care diagnosis for sleep disorder with dry nanowire electrodes. J. Nanotechnol. Eng. Med. 1(3), 031012 (2010)
Allison, B.Z., Brunner, C., Altstatter, C., Wagner, I.C., Grissmann, S., Neuper, C.: A hybrid ERD/SSVEP BCI for continuous simultaneous two dimensional cursor control. J. Neurosci. Methods 209(2), 299–307 (2012)
Cecotti, H.: A self-paced and calibration-less SSVEP-based brain- computer interface speller. IEEE Trans. Neural Syst. Rehabil. Eng. 18(2), 127–133 (2010)
Muller-Putz, G.R., Pfurtscheller, G.: Control of an electrical prosthesis with an SSVEP-based BCI. IEEE Trans. Biomed. Eng. 55(1), 361–364 (2008)
Elsawy, A.S., Eldawlatly, S., Taher, M., Aly, G.M.: Performance analysis of a principal component analysis ensemble classifier for emotiv headset P300 spellers. In: 2014 36th Annual International Conference of the IEEE Engineering (2014)
Elsawy, A.S., Eldawlatly, S., Taher, M., Aly, G.M.: A principal component analysis ensemble classifier for P300 speller applications. In: 2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA), pp. 444–449 (2013)
Krusienski, D.J., Sellers, E.W., McFarland, D.J., Vaughan, T.M., Wolpaw, J.R.: Toward enhanced P300 speller performance. J. Neurosci. Methods 167, 15 (2008)
Choi, K.: Control of a vehicle with EEG signals in real-time and system evaluation. Eur. J. Appl. Physiol. 112(2), 755–766 (2011)
Royer, A.S., Doud, A.J., Rose, M.L., He, B.: EEG control of a virtual helicopter in 3-dimensional space using intelligent control strategies. IEEE Trans. Neural Syst. Rehabil. Eng. 18(6), 581–589 (2010)
Shi, T., Wang, H., Zhang, C.: Brain Computer Interface system based on indoor semi-autonomous navigation and motor imagery for unmanned aerial vehicle control. Expert Syst. Appl. 42(9), 4196–4206 (2015)
Cudo, A., Zabielska, E., Bałaj, B.: Introduction to the problem of brain-computer interfaces. KUL (2011)
Lin, Z., Zhang, C., Wu, W., Gao, X.: Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs. IEEE Trans. Biomed. Eng. 53(12), 2610–2614 (2006)
Zhu, D., Bieger, J., Molina, G.G., Aarts, R.M.: A survey of stimulation methods used in SSVEP-based BCIs. Intell. Neurosci. 2010 (2010)
Acknowledgments
The work described in this paper was funded from 02/22/DSPB/1434.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Kubacki, A., Milecki, A. (2019). Control of the 6-Axis Robot Using a Brain-Computer Interface Based on Steady State Visually Evoked Potential (SSVEP). In: Trojanowska, J., Ciszak, O., Machado, J., Pavlenko, I. (eds) Advances in Manufacturing II. MANUFACTURING 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-18715-6_18
Download citation
DOI: https://doi.org/10.1007/978-3-030-18715-6_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-18714-9
Online ISBN: 978-3-030-18715-6
eBook Packages: EngineeringEngineering (R0)