Experimental Psychology (Russia)
2017. Vol. 10, no. 1, 129–138
doi:10.17759/exppsy.2017100109
ISSN: 2072-7593 / 2311-7036 (online)
Oculomotor activity parameters of the operator in the P300 brain–computer interface with variating stimulus situations
Abstract
General Information
Keywords: brain-computer interface, eyetracking, event-related potentials, P300 wave, visual attention, N200 wave
Journal rubric: Tools
Article type: scientific article
DOI: https://doi.org/10.17759/exppsy.2017100109
For citation: Basiul I.A. Oculomotor activity parameters of the operator in the P300 brain–computer interface with variating stimulus situations. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2017. Vol. 10, no. 1, pp. 129–138. DOI: 10.17759/exppsy.2017100109. (In Russ., аbstr. in Engl.)
References
- Barabanschikov V.A. Okulomotomye struktury vospriyatiya [Oculomotor structures of the perception]. Mos- cow, Institute of psychology RAS Publ., 1997. 383 p. (In Russ.).
- Barabanschikov V.A., Zhegallo A.V. Aitreking: metody registratsii dvizhenii glaz v psikhologicheskikh issle- dovaniyakh i praktike [Eyetracking: registration methods for eye movements in psychological studies and prac- tice]. Moscow, Cogito-Centr Publ., 2014. 128 p. (In Russ.).
- Barabanschikov V.A., Zhegallo A.V. Registratsiya i analiz napravlennosti vzora cheloveka [Registration and analysis of the human gaze]. Moscow, Institute of psychology RAS Publ., 2013. 323 p. (In Russ.).
- Basyul I.A. Elektroehncefalograficheskie pokazateli i okulomotornaya aktivnost’ pri rabote v interfejse mozg–komp’yuter na volne R300 [EEG characteristics and oculomotor activity in the BCI-P300]. In Bara- banschikov V.A. (ed.), Procedury i metody ehksperimental’no-psihologicheskih issledovanij [The procedures and methods of the experimental psychological studies]. Moscow, Institute of Psychology RAS Publ., 2016, pp. 438–443 (In Russ.).
- Basyul I.A., Kaplan A.Ya. Izmeneniya N200 i P300 komponentov potentsialov, svyazannykh s sobyti- yami, pri var’irovanii uslovii vnimaniya v sisteme Brain Computer Interface [Changes in the N200 and P300 Components of Event-Related Potentials on Variations in the Conditions of Attention in a Brain- Computer Interface System]. Zh Vyssh New Deiat IP Pavlova, Moscow, 2014, no. 2 (64), pp. 159–166 (In Russ., abstract in Engl.).
- Bianchi L., Sami S., Hikkerbrand A., Fawcett I.P., Quitadamo L.R, Seri S. Which physiological compo- nents are more suitable for visual ERP based brain-computer interface? A preliminary MEG/EEG study. Brain Topogr, 2010, no. 23, pp. 180–185. doi: 10.1007/sl0548-010-0143-0
- Blankertz B., Tangermann M., Vidaurre C., Fazli S., Sannelli C., Haufe S., Maeder C., Ramsey L., Sturm I., Curio G., Muller K.R. The Berlin Brain-Computer Interface: Non-Medical Uses of BCI Technology. Front Neurosci, 2010, no. 4, p. 198. doi: 10.3389/fnins.2010.00198
- Brunner P., Joshi S., Briskin S., Wolpaw J.R., Bischof H., and Schalk G. Does the “P300” Speller De- pend on Eye Gaze? J Neural Eng, 2010, vol. 7, no. 5, pp. 056013. doi: 10.1088/1741-2560/7/5/056013
- Cipresso R, Meriggi P., Carelli L., Solca E, Meazzi D., Poletti B., Lule D., Ludolph A.C., Giuseppe R., Silani V. The combined use of Brain Computer Interface and Eye-Tracking technology for cognitive assess- ment in Amyotrophic Lateral Sclerosis. Pervasive Computing Technologies for Healthcare (PewasiveHealth), Dublin, Irland, 23–26 May 2011, pp. 320–324.
- Donfinguez-Marrinez E., Parise E., Strandvall T., Reid V.M. The Fixation Distance to the Stimulus In- fluences ERP Quality: An EEG and Eye Tracking N400 Study. PLoS ONE. 2015, vol. 10, no. 7, pp. e0134339. doi: 10.1371/journal.pone.0134339
- Farwell L.A., Donchin E. Talking off the top of your head: toward a mental prosthesis utilizing event- related brain potentials. EEG a. Clin. Neurophysiol, 1988, no. 70, pp. 510–523.
- Frisoli A., Loconsole C., Leonardis D., Banno E, Barsotti M., Chisari C., Bergamasco M. A New Gaze- BCI-Driven Control of an Upper Limb Exoskeleton for Rehabilitation in Real-World Tasks. IEEE Transac- tions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 2012, no. 42, pp. 1169–1179.
- Ganin I.P., Shishkin S.L., Kochetova A.G., Kaplan A.Ya. Interfeis mozg-komp’yuter «па volne Р300»: issledovanie effekta nomera stimulov v posledovatel’nosti ikh pred”yavleniya [The P300-based brain-computer interface: the effect of the stimulus position in a stimulus train], Fiziologiya cheloveka [Hu- man Physiology], 2012, no. 38 (2), pp. 5–13 (In Russ., abstract in Engl.).
- Gneo M., Severini G., Conforto S., Schmid M., D’Alessio T. Towards a brain-activated and eye-con- trolled wheelchair. Inter. J. of Bioelectromagnetism, 2011, vol. 13, no. 1, pp. 44–45. doi: 10.1186/1743-0003-11-7
- Kaplan A.Ya., Kochetova A.G., Shishkin S.L., Basyul I.A., Ganin I.P., Vasil’ev A.N., Liburki- na S.P. Eksperimental’no-teoreticheskie osnovaniya i prakticheskie realizatsii tekhnologii interfeis mozg- komp’yuter [Experimental and theoretical foundations and practical implementation of brain-computer interface technology]. Bulleten Sibirskoy Meditsini [Bulletin of Siberian medicine], 2013, no. 12 (2), pp. 21–29 (In Russ.)
- Kaplan A.Ya., Lim J.J., Jin K.S., Park B.W., Byeon J.G., Tarasova S.U. Unconscious operant condi- tioning in the paradigm of brain-computer interface based on color perception. Intern. J. Neurosci, 2005, no. 115, pp. 781–802.
- Kaplan A.Ya., Shishkin S.L., Ganin I.P., Basyul I.A., Zhigalov A.Y. Adapting the РР300-based brain-computer interface for gaming: a review. IEEE Trans, on Comput. Intelligence and Alin Games, 2013, vol. 5, no. 2, pp. 141–149. doi: 10.1109/TCIAIG.2012.2237517
- Kaufmann T., Hammer E. M., Kubler A. ERPs Contributing to Classification in the “P300” BCI. Pro- ceedings of the Fifth International BCI Conference, Graz, Austria, 22-24 September 2011, pp. 136–139.
- Kim B.H., Kim M., Jo S. Quadcopter flight control using a low-cost hybrid interface with EEG- based classification and eye tracking. Computers in Biology and Medicine, 2014, vol. 51, pp. 82–92. doi: 10.1016/j.compbiomed.2014.04.020
- Kleih S.C., Kaufmann T., Zickler C., Haider S., Leotta E, Cincotti E, Aloise E, Riccio A., Herbert C., Mattia D., Kubler A. Out of the frying pan into the fire – the Р300-based BCI faces real-world challenges. Prog. Brain Res, 2011, vol. 194, pp. 27–46. doi: 10.1016/B978-0-444-53815-4.00019-4
- Krusienski D.J., Sellers E.W., McFarland D.J., Vaughan T.M., Wolpaw J.R. Toward enhanced P300 spel- ler performance. J Neurosci. Methods, 2008, vol. 167, pp. 15–21. doi: 10.1016/j.jneumeth.2007.07.017
- Lee E.C., Woo J.C., Kim J.H., Whang M., Park K.R. A brain-computer interface method combined with eye tracking for 3D interaction. J Neurosci Methods, 2010, vol. 190, no. 2, pp. 289–298. doi: 10.1016/j.jneu- meth.2010.05.008
- Mak J.N, Arbel Y., Minett J.W., McCane L.M., Yuksel B., Ryan D., Thompson D., Bianchi L., Erdog- mus D. Optimizing the P300-based brain-computer interface: current status, limitations and future direc- tions. J Neural Eng, 2011, vol. 8, pp. 025–033. doi: 10.1088/1741-2560/8/2/025003
- McCullagh P., Galway L., Lightbody G. Investigation into a Mixed Hybrid Using SSVEP and Eye Gaze for Optimising User Interaction within a Virtual Environment. In C. Stephanidis and M. Antona (eds.), UAHCI/HCI, 2013, Part I, LNCS 8009, pp. 530–539. doi: 10.1007/978-3-642-39188-0_57
- Mikhailova E.S., Chicherov V.A., Ptushenko I.A., Shevelev I.A. Prostranstvennyi gradient volny P300 zritel’nogo vyzvannogo potentsiala mozga cheloveka v modeli neirokomp’yuternogo interfeisa [Spatial Gradient of P300 Area in the Brain-Computer Interface Paradigm], Zh Vyssh Nerv Deiat Im IP Pavlova, 2008, no. 58 (3), pp. 302–308 (In Russ.),
- Nicolelis M.A. Brain-machine interfaces to restore motor function and probe neural circuits. Nat. Rev. Neurosci, 2003, vol. 4, no. 5, pp. 417–422.
- R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Com- puting, Vienna, Austria, 2015. URL: http://www.R-project.org/.
- Sellers E.W., Vaughan T.M., Wolpaw J.R. A brain-computer interface for long-term independent home use. Amyotroph. Lateral Scler, 2010, vol. 11, pp. 449–455. doi: 10.3109/17482961003777470
- Shishkin S.L., Ganin I.P., Basyul I. A., Zhigalov A.Y., Kaplan A.Y. N1 wave in the P300 BCI is not sensi- tive to the physical characteristics of stimuli. J Integr Neurosci, 2009, vol. 8, no. 4, pp. 471–485.
- Vidal J.J. Real-time detection of brain events in EEG. IEEE Proc, 1977, vol. 65, pp. 633–641. doi: 10.1109/ PROC. 1977.10542
- Wolpaw J.R., Birbaumer N., McFarland D.J., Pfurtscheller G., Vaughan T.M. Brain-computer interfac- es for communication and control. Clin. Neurophysiol, 2002, vol. 113, pp. 767–791.
- Wolpaw J.R., McFarland D.J., Neat G.W., Fomeris C.A. An EEG-based brain-computer interface for cur- sor control. EEG a. Clin. Neurophysiol, 1991, vol. 78, no. 3, pp. 252–259.
- Zander T.O, Gaertner M., Kothe C., Vilimek R. Combining Eye Gaze Input with a Brain-Compu- ter Interface for touchless Human-Computer Interaction. International journal of human-computer interac- tion, 2011, vol. 27, no. 1, pp. 38–51. doi: 10.1080/10447318.2011.535752
Information About the Authors
Metrics
Views
Total: 1934
Previous month: 14
Current month: 1
Downloads
Total: 592
Previous month: 2
Current month: 0