Abstract
The vibro-tactile P300 based Brain-Computer Interface is an interesting tool for severe impaired patients which cannot communicate using the muscular and visual vias. In this study we presented an improved tactile BCI for binary communication that reduces the wrong answers by adding a threshold to the decision value to achieve a valid answer, otherwise, the BCI gives an indecisive answer to the question. The threshold is calculated using a statistical test on the EEG, data recorded during the question to the patient. In total 7 tactile stimulators were placed on different parts of the subject’s body. We tried the new BCI with 4 healthy subjects and using the statistical test they were able to get no wrong answers after 10 questions asked to each participant. The spelling accuracy and information transfer rate with and without statistical test are presented as well as examples of event related potentials.
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References
Wolpaw, J.R., Birbaumer, N., McFarland, D.J., et al.: Brain–computer interfaces for communication and control. Clin. Neurophysiol. 113, 767–791 (2002). https://doi.org/10.1016/S1388-2457(02)00057-3
Birbaumer, N., Ghanayim, N., Hinterberger, T., et al.: A spelling device for the paralysed. Nature 398, 297–298 (1999)
Luck, S.J: An Introduction to the Event-Related Potential Technique. MIT Press, Cambridge (2014)
Bin, G., Gao, X., Wang, Y., et al.: VEP-based brain-computer interfaces: time, frequency, and code modulations [Research Frontier. IEEE Comput. Intell. Mag. 4, 22–26 (2009). https://doi.org/10.1109/MCI.2009.934562
Guger, C., Allison, B.Z., Großwindhager, B., et al.: How many people could use an SSVEP BCI? Front. Neurosci. 6 (2012). https://doi.org/10.3389/fnins.2012.00169
Volosyak, I., Rezeika, A., Benda, M., et al.: Towards solving of the Illiteracy phenomenon for VEP-based brain-computer interfaces. Biomed. Phys. Eng. Express 6, 035034 (2020). https://doi.org/10.1088/2057-1976/ab87e6
Guger, C., Daban, S., Sellers, E., et al.: How many people are able to control a P300-based brain–computer interface (BCI)? Neurosci. Lett. 462, 94–98 (2009). https://doi.org/10.1016/j.neulet.2009.06.045
Eidel, M., Kübler, A.: Wheelchair control in a virtual environment by healthy participants using a P300-BCI based on tactile stimulation: training effects and usability. Front. Hum. Neurosci. 14 (2020). https://doi.org/10.3389/fnhum.2020.00265
Herweg, A., Gutzeit, J., Kleih, S., Kübler, A.: Wheelchair control by elderly participants in a virtual environment with a brain-computer interface (BCI) and tactile stimulation. Biol. Psychol. 121, 117–124 (2016)
Halder, S., Rea, M., Andreoni, R., et al.: An auditory oddball brain–computer interface for binary choices. Clin. Neurophysiol. 121, 516–523 (2010). https://doi.org/10.1016/j.clinph.2009.11.087
Lugo, Z.R., Rodriguez, J., Lechner, A., et al.: A vibrotactile p300-based brain–computer interface for consciousness detection and communication. Clin. EEG Neurosci. 45, 14–21 (2014)
Gruenwald, J., Znobishchev, A., Kapeller, C., et al.: Time-variant linear discriminant analysis improves hand gesture and finger movement decoding for invasive brain-computer interfaces. Front. Neurosci. 13, 901 (2019). https://doi.org/10.3389/fnins.2019.00901
Ortner, R., Spataro, R., Scharinger, J., et al.: Vibro-tactile evoked potentials for BCI communication of people with disorders of consciousness and locked-in syndrome. In: Proceedings of the Graz Brain-Computer Interface Conference 2017 (2017)
Acknowledgements
This work was supported by funds of the European Union under the MSCA-IF-EF-SE grant DOC-Stim (No. 839234) and by a grant of the Romanian Ministry of Education and Research, CNCS - UEFISCDI, project number PN-III-P1-1.1-TE-2019-1753, within PNCDI III.
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Ortner, R., Dinarès-Ferran, J., Irimia, DC., Guger, C. (2021). Towards Improved Vibro-Tactile P300 BCIs. In: Kurosu, M. (eds) Human-Computer Interaction. Interaction Techniques and Novel Applications. HCII 2021. Lecture Notes in Computer Science(), vol 12763. Springer, Cham. https://doi.org/10.1007/978-3-030-78465-2_6
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DOI: https://doi.org/10.1007/978-3-030-78465-2_6
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