USE OF A COST-EFFECTIVE NEUROHEADSET EMOTIV EPOC FOR PATTERN RECOGNITION PURPOSES
DOI:
https://doi.org/10.47839/ijc.13.1.618Keywords:
Electroencephalography (EEG), Brain-Computer Interface (BCI), signal processing, bio-informatics, control, robotics.Abstract
Application of biomedical signals for the control purposes is currently growing interest of research society. Various biomedical signals enable various control prospects. In this paper application domain of using electroencephalographic signals obtained from an inexpensive Emotiv EPOC headset was described. It is also important to mention the possible implementation of the proposed method on an embedded platform, as it causes some significant limitations due to the little efficiency and low computing power of an embedded system platform. The proposed method enables to extend future application of the BCI system presented in this paper and it also gives more testing flexibility, as the platform can simulate various external environments. It is crucial to mention, that no filtering was done and that the traditional, statistical signal processing methods were in this work neither used, nor described.References
Wenjia Ouyang, Kelly Cashion, Vihayan K. Asari, Electroencephalograph based brain machine interface for controlling a robotic arm, 2013 IEEE (AIPR) Applied Imagery Pattern Recognition Workshop: Sensing for Control and Augumentation, (October 23-25, 2013), pp. 1-7.
K. Blinowska, J. Zygierewicz, Practical Biomedical Signal Analysis Using MATLAB, Series in Medical Physisc and Biomedical Engineering, CRC Press, Taylor and Francis Book, 2012.
S. Gao, Y. Wang, X. Gao, B. Hing, Visual and auditory Brain-Computer Interfaces, IEEE Transactions on Biomedical Engineering, (Accepted for Publication) (2014).
H. I. Suk, S. W. Lee, A novel Bayesian framework for discriminative feature extraction in Brain-Computer Interfaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, (35) 2 (2013), pp. 286-299.
D. Huang, K. Qian, D.-Y. Fei, W. Jia, X. Chen, Electroencephalography (EEG)-based Brain-Computer Interface (BCI): A 2-D virtual wheelchair control based on Event-Related Desynchronization/Synchronization and state control, IEEE Transactions on Neural Systems and Rehabilitation Engineering, (20) 3 (2012), pp. 379-388.
Aleksandra Kawala-Janik, Michal Podpora, Mariusz Pelc, Jerzy Baranowski, Pawel Piatek, Implementation of an inexpensive EEG headset for the pattern recognition purpose, 2013 IEEE (IDAACS) 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems, (Berlin, September 12-14, 2013), pp. 399-403.
Simon Grude, Matthew Freeland, Chenguang Yang, Hongbin Ma, Controlling mobile Spykee robot using Emotiv Neuro Headset, 2013 (CCC) 32nd Chinese Control Conference, (Xi'an, July 26-28, 2013), pp. 5927-5932.
Hidenori Boutani, Mieko Ohsuga, Applicability of the “Emotiv EPOC Neuroheadset” as a user-friendly input interface, 2013 (EMBC) 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, (Osaka, July 3-7, 2013), pp. 1346-1349.
Official website of the Emotiv Inc. Company: http://www.emotiv.com
Emotiv Wikia Page: http://www.emotiv.wikia.com
R. Bernays, J. Mone, P. Yau, M. Murcia, J. Gonzales-Sanchez, M. E. Chavez-Echeagaray, R. Christopherson, R. Atkinson, Lost in the dark: Emotion adaptation, 2012 (UIST) 25th Annual ACM Symposium on User Interface Software and Technology.
G. M. Poor, L. M. Leventhal, S. K. Bowling, J. Ringenberg, S. D. Jaffee, Thought Cubes: Exploring the use of an inexpensive Brain-Computer Interface on a mental rotation task, 2011 (ASSETS) 13th International ACM SIGACCESS Conference on Computers and Accessibility.
C. Vi, S. Subramanian, Detecting Error-related negativity for interaction design, 2012 (CHI) SIGCHI Conference on Human Factors in Computing Systems, ACM.
A. Vourvopoulos, F. Liarokapis, Brain-controlled NXT robot: Tele-operating a robot through brain electrical activity, 2011 3rd International Conference on Games and Virtual Words for Serious Applications.
O. Friman, I. Volosyak, A. Graeser, Multiple channel detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces, IEEE Transactions on Biomedical Engineering, (54) 4 (2007).
J.-M. Seigneur, The Emotional Economy for the Augmented Human, (AH) 2nd Augmented Human International Conference, ACM, 2011.
A. T. Campbell, T. Choudhury, S. Hu, H. Lu, M. K. Mukerjee, M. Rabbi, R. D. S. Raizada, NeuroPhone: Brain-Mobile Phone Interface. Using a Wireless EEG Headset. 2010 (MobiHeld) 2nd ACM SIGCOMM workshop on Networking, Systems, and Applications on Mobile Handhelds, USA (August 2010).
M. van Vliet, A. Robben, N. Chumerin, N. V. Manyakov, A. Combaz, M. M. van Hulle, Designing a Brain-Computer Interface Controlled Video-Game Using Consumer Grade EEG Hardware. 2012 (BRC) Biosignals and Biorobotics Conference, Brazil (January 2012).
A. Luo, J. Sullivan, A User-Friendly SSVEP-Based Brain-Computer Interface Using a Time-Domain Classifier, Journal of Neural Engineering, (7) 2 (2010).
Y. Liu, X. Jiang, T. Cao, F. Wan, P. Un Mak, P.-I. Mak, M. I. Vai, Implementation of SSVEP Based BCI with Emotiv EPOC. 2012 (VECIMS) IEEE International Conference on Virtial Environments Human-Computer Interfaces and Measurement Systems, China (July 2012).
R. N. Khushaba, S. Kodagoda, G. Dissanayake, L. Greenacre, S. Burke, J. Louviere, A Neuroscientific Approach to Choice Modeling: Electroencephalogram (EEG) and User Preferences, 2012 (IJCNN) the 2012 International Joint Conference on Neural Networks.
I. Volosyak, Ch. Guger, A. Graeser, Toward BCI Wizard – Best BCI Approach for Each User, 2010 (EMBS) the 32nd Annual International Conference of the IEEE EMBS, Argentina, (August-September 2010).
G. Rosas-Cholula, J. M. Ramirez-Cortes, V. Alarcon-Aquino, J. Martinez-Carballid, P. Gomez-Gil, On Signal P-300 Detection for BCI Applications Based on Wavelet Analysis and ICA Preprocessing, 2010 Electronics, Robotics and Automotive Mechanics Conference.
A. Kawala-Janik, Efficiency Evaluation of External Environments Control Using Bio-Signals, (PhD Dissertation), The University of Greenwich, 2013.
J. Baranowski, P. Piatek, A. Kawala-Janik, M. Pelc, R. J. Anthony, Application of Kernel Density for Analysis of EEG Signals, Ubiquitous Computing and Ambient Intelligence, Lecture Notes in Computer Science, (7656) 2012, pp 403-406.
L.G. Bretthorst, Bayesian Spectrum Analysis and Parameter Estimation, Lecture Notes in Statistics, (48) 1988, Springer Verlag, New York.
P. Piatek, D. Marchewka, M. Pauluk, Automatyczna generacja kodu regulatora dla wbudowanego sterownika ukladu magnetycznej lewiacji, Projektowanie, analiza i implementacja systemow czasu rzeczywistego (red. L. Trybus i S. Samolej), WKL, Warszawa, 2011, pp. 187-196. (in Polish)
N. Al-Ghamdi, G. Al-Hudhud, M. Alzamel, A. Al-Wabil, Trials and tribulations of BCI control applications, Science and Information Conference (SAI) 2013, pp. 212-217.
Ch.-T. Lin, Ch.-H. Chuang, Ch.-Sh. Huang, Sh.-F. Tsai, Sh.-W. Lu, Y.-H. Chen, L.-W. Ko, Wireless and Wearable EEG Systems for Evaluating Driver Vigilance, IEEE Transactions on Biomedical Circuits and Systems, vol. 8, no. 2, 2014, pp. 165-176.
J. Lu, K. Xie, D. McFarland, Adaptive Spatio-Temporal Filtering for Movement Related Potentials in EEG based Brain-Computer Interfaces, IEEE Transactions of Neural Systems and Rehabilitation Engineering, Accepted for Publictation in 2014. DOI: 10.1109/TNSRE.2014.2315717.
X. Hongjing, R. Dan, M. S. Cohen, Coupled basis learning and regularized reconstruction for BCG artifact removal in simultaneous EEG-fMRI studies, 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI), 2013, pp. 986-989.
A. Kawala-Janik, M. Podpora, M. Blaszczyszyn, J. Kolanska-Pluska, B. Grochowicz, Combined fMRI- and EEG-based Brain-Computer Interface – Pilot Study, XXXVII International Conference on Fundamentals of Electrotechnics and Circuit Theory 2014, p. 72.
A. Kawala-Janik, M. Podpora, J. Kolanska-Pluska, M. Konieczny, B. Grochowicz, Pilot Study on On-Line Analysis of Biomedical Signals Using Labview, XXXVII International Conference on Fundamentals of Electrotechnics and Circuit Theory 2014, p. 73.
Downloads
Published
How to Cite
Issue
Section
License
International Journal of Computing is an open access journal. Authors who publish with this journal agree to the following terms:• Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
• Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
• Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
