Eigenface analysis for brain signal classification: a novel algorithm
by Yeon-Mo Yang; Wansu Lim; Byeong Man Kim
International Journal of Telemedicine and Clinical Practices (IJTMCP), Vol. 2, No. 2, 2017

Abstract: This paper proposes a novel feature extraction scheme utilising an Eigenface analysis (EFA) algorithm for a brain computer interface (BCI). In EFA, the obtained BCI data is systematically rearranged into time, channels, and trials to develop neuro-images. Based on these images, the scheme extracts Eigenfaces with a training dataset and utilises the cross-correlation to find the coefficients of projection. Compared to the existing scheme, EFA outperforms in accuracy with BCI competition III, dataset IIIa. Specifically, the accuracy improves by 27.21% for the second subject.

Online publication date: Tue, 25-Apr-2017

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