Comparison of PSDA and CCA detection methods in a SSVEP-based BCI-system

Using steady-state visually evoked potential (SSVEP) in brain-computer interface (BCI) systems is the subject of a lot of research. One of the most popular and widely used detection method is using a power spectral density analysis (PSDA). Lately there have been some new methods emerging, one of them is using canonical correlation analysis (CCA) which seems to have some promising improvements and advantages compared to traditional SSVEP detection methods, like better signal-to-noise ratio (SNR), lower inter-subject variability and the possibility to use harmonic frequencies, i.e., a serie of frequencies which have the same fundamental frequency. In this research two different SSVEP detection methods, one using PSDA and one using CCA are compared. The results show that the CCA-based detection method performs significantly better than the PSDA-based detection method. The increase of performance can in particular be seen when using harmonic frequencies. While the PSDA-based detection method has difficulties detecting harmonic frequencies, the CCA-based detection method is able to detect harmonic frequencies

Het raadselspel als rituele handeling

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Rondom de Melanesische "Cargo Cults"

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Enige opmerkingen over de tempel als " Heilige" en als "Gewyde" plaats

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Interview with Kristine Garnero Obbink, Portland Public School, 2013 (audio)

Interview of Kristine Garnero Obbink by Loraine Decker at 705 N. Killingsworth St., Portland, Oregon on May 14th, 2013. The interview index is available for download