Automatic Parameter Optimization Based on CSP in Motor Imagery Brain-Computer Interface
نویسندگان
چکیده
The Common Spatial Pattern (CSP) algorithm is a popular method for calculating spatial lters in motor imagery braincomputer interface system. However, the performance of CSP is in uenced by several factors such as the selection of channels, time window length, frequency band and etc.. One of the existing problems is that some above parameters for CSP is tuned manually in most of papers in the literature. Hence, a strategy of automatic parameter optimization for CSP feature is great helpful to reduce the exhausting tuning work. In this paper, we focus on exploring a step by step method to tune most of the parameters automatically. The experiment results show that high classi cation accuracy is achieved by the strategy of automatic parameter optimization.
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