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Brain-Computer Interface Research

 

Agrawal, S. K., Bablani, A., & Trivedi, P. (2015). Analysing Eyes Activities on Temporal and Occipital Lobes. International Journal of Advance Research in Computer Science and Management Studies, 3(7).

 

Kashihara, K. (2014). A brain-computer interface for potential non-verbal facial communication based on EEG signals related to specific emotions. Front Neurosci, 8, 244. doi:10.3389/fnins.2014.00244

 

Khosravifard, M., Harandi, M., van der Meer, A., & van der Weel, R. (2015). Perceptual Learning through Brain Computer Interface in Young Infants. Paper presented at the Studies in Perception and Action XIII: Eighteenth International Conference on Perception and Action.

 

Kuo, C.-C., L. Knight, J., A. Dressel, C., & W. L. Chiu, A. (2012). Non-Invasive BCI for the Decoding of Intended Arm Reaching Movement in Prosthetic Limb Control. American Journal of Biomedical Engineering, 2(4), 155-162. doi:10.5923/j.ajbe.20120204.02

 

Lei, X., Yang, P., Xu, P., Liu, T., & Yao, D. (2009). Common Spatial Pattern Ensemble Classifier and Its Application in Brain-Computer Interface. Journal of Electronic Science and Technology of China, 7(1), 17-21.

 

Liao, K., Xiao, R., Gonzalez, J., & Ding, L. (2014). Decoding individual finger movements from one hand using human EEG signals. PloS one, 9(1), e85192. doi:10.1371/journal.pone.0085192

 

Lopez, M., Pelayo, F., Madrid, E., & Prieto, A. (2009). Statistical Characterization of Steady-State Visual Evoked Potentials and Their Use in Brain–Computer Interfaces. Neural processing letters, 29, 179-187. doi:10.1007/s11063-009-9102-8

 

Lopez, M., Pomares, H., Prieto, A., & Pelayo, F. (2009). Multiple AM Modulated Visual Stimuli in Brain-Computer Interface. IWANN, 683-689.

 

Songyun, X., You, W., Yunpeng, Z., Juanli, Z., & Chang, L. (2014, 6-11 July 2014). Single channel single trial P300 detection using extreme learning machine: Compared with BPNN and SVM. Paper presented at the Neural Networks (IJCNN), 2014 International Joint Conference on.

 

Wójcik, G. M., Mikołajewska, E., Mikołajewski, D., Wierzgała, P., Gajos, A., & Smolira, M. (2013). Usefulness of EGI EEG system in brain computer interface research. Bio-Algorithms and Med-Systems, 9(2). doi:10.1515/bams-2013-0007

 

Woosu, C., Jongin, K., & Boreom, L. (2015, 12-14 Jan. 2015). EEG classification of word perception using common spatial pattern filter. Paper presented at the Brain-Computer Interface (BCI), 2015 3rd International Winter Conference on.

 

Worren, F., & Molvær, J. (2016). A Unified Real-Time Feature Extraction and Classification Process for a BCI Based on Empirical Mode Decomposition and Support Vector Machine. (Masters Degree), Norwegian University of Science and Technology.  

Wu, Z. (2014). SSVEP extraction based on the similarity of background EEG. PloS one, 9(4), e93884. doi:10.1371/journal.pone.0093884

 

Wu, Z., & Yao, D. (2008). Frequency detection with stability coefficient for steady-state visual evoked potential (SSVEP)-based BCIs. Journal of Neural Engineering, 5, 36-43. doi:10.1088/1741-2560/5/1/004

 

Xiao, R., & Ding, L. (2013). Evaluation of EEG features in decoding individual finger movements from one hand. Comput Math Methods Med, 2013, 243257. doi:10.1155/2013/243257

 

Xu, P., Yang, P., Lei, X., & Yao, D. (2011). An Enhanced Probabilistic LDA for Multi-Class Brain Computer Interface. PloS one, 6(1), e14634. doi:10.1371/ journal.pone.0014634

 

Yong, X., & Menon, C. (2015). EEG classification of different imaginary movements within the same limb. PloS one, 10(4), e0121896. doi:10.1371/journal.pone.0121896