Title :
A Comparative Study of Canonical Correlation Analysis and Power Spectral Density Analysis for SSVEP Detection
Author :
Wei, Qingguo ; Xiao, Meixia ; Lu, Zongwu
Author_Institution :
Dept. of Electron. Eng., Nanchang Univ., Nanchang, China
Abstract :
Steady-state visual evoked potentials (SSVEPs) are widely employed for target detection in brain-computer interfaces (BCIs). Canonical correlation analysis (CCA), which extends ordinary correlation to two sets of variables, is a new method for SSVEP detection. In this paper, the performance of CCA is compared with that of traditional power spectral density analysis (PSDA) in terms of power spectral amplitude, recognition accuracy, information transfer rate and operating speed. The results show that the CCA method outperforms the PSDA in all these technical indexes.
Keywords :
brain-computer interfaces; object detection; visual evoked potentials; SSVEP detection; brain-computer interfaces; canonical correlation analysis; information transfer rate; power spectral amplitude; power spectral density analysis; recognition accuracy; steady-state visual evoked potentials; target detection; Accuracy; Correlation; Electroencephalography; Harmonic analysis; Signal to noise ratio; Target recognition; Visualization; brain-computer interface; canonical correlation analysis; power spectral density analysis; steady-state visual evoked potentials;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2011 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4577-0676-9
DOI :
10.1109/IHMSC.2011.72
