Control Based on Brain-Computer Interface Technology for Video-Gaming with Virtual Reality Techniques

• Autorzy: Paszkiel S.

Identyfikatory

DOI

10.14313/JAMRIS_4-2016/26

• Języki publikacji: EN

Abstrakty

EN

The paper describes possibilities of application of braincomputer interface technology in neurogaming. To that end number of experiments were conducted in the Laboratory of Neuroinformatics and Decision Systems of the Opole University of Technology using Emotiv EPOC+ NeuroHeadset. Moreover, the paper presents an aspect of possibility of using brain-computer interface (BCI) technology in combination with virtual reality for controlling avatars/object in videogames.

Słowa kluczowe

EN

neurogaming; brain computer-interfaces; virtual reality

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2016
• Tom: Vol. 10, No. 4
• Strony: 3--7
• Opis fizyczny: Bibliogr. 9 poz., rys.

Twórcy

autor

Paszkiel S.

• Department of Electrical, Control & Computer Engineering, Institute of Control & Computer Engineering, Opole University of Technology, Opole, 45-316, Poland

Bibliografia

• [1] Aloise F., Schettini F., Arico P., Salinari S., Babiloni F., Cincotti F., “A comparison of classification techniques for a gaze-independent P300-based brain-computer interface”, Journal of Neural Engineering, 9(4):045012, 2012. DOI: 10.1088/1741-2560/9/4/045012.
• [2] Amiri S., Rabbi A., Azinfar L., Fazel-Rezai R., A review of P300, SSVEP, and hybrid P300/SSVEP brain computer interface systems, Brain Computer Interface Systems – Recent Progress and Future Prospects, 2013. DOI: 10.5772/56135.
• [3] Basar E., Basar-Eroglu C., Karakas S. Schurmann M., “Are cognitive processes manifested in eventrelated gamma, alpha, theta and delta oscillations in the EEG?”, Neuroscience Letters, Vol. 259, No. 3/1999, 165-168, DOI: 10.1016/S0304-3940(98)00934-3
• [4] Blankertz B., Dornhege G., Krauledat M., Muller K. R., Curio G., “The non-invasive Berlin Brain Computer Interface: fast acquisition of effective performance in untrained subjects”, Neuroimage, vol. 37, no. 2, 2007, 539–500.
• [5] Gargiulo G., Calvo R. A., Bifulco P., Cesarelli M., Jin C., Mohamed A., Schaik A., “A new EEG recording system for passive dry electrodes”, Clinical Neurophysiology, vol. 121, no. 5, 2010, 686–693, DOI: 10.1016/j.clinph.2009.12.025.
• [6] Paszkiel S., Hunek W., Shylenko A., “Project and simulation of a portable proprietary device for measuring bioelectrical signals from the brain for verification states of consciousness with visualization on LEDs”. In: Recent research in automation, robotics and measuring techniques, Editors: Szewczyk R., Zieliński C., Kaliczyńska M.; series: Challenges in Automation, Robotics and Measurement Techniques, Advances in Intelligent Systems and Computing 440, Springer 2016, Switzerland, 25–36. DOI: 10.1007/978-3-319-29357-8.
• [7] Paszkiel S., “Dwumodułowy system do przetwarzania danych EEG z wykorzystaniem analizy czynnikowej i pseudoinwersji Moore-Penrose”, Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Lublin, no. 4, 2014, 62–64.
• [8] Paszkiel S., Recent Advances in Automation, Robotics and Measuring Techniques, chapter 20: Augmented reality of technological environment in correlation with brain computer interfaces for control processes, series Advances in Intelligent Systems and Computing, vol. 267, AISC, Springer, Switzerland 2014, 197–203. DOI: 10.1007/978-3-319-05353-0_20.
• [9] Wolpaw J. R., Winter Wolpaw E. , Brain computer interfaces: something new under the sun”, Brain Computer Interfaces: Principles and Practice, Oxford University Press New York, 2012, DOI: 10.1093/acprof:oso/9780195388855.003.0001.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.