Abstrait

The motion image recognition method based on LZ complexity analysis

Yi Yu, Yopeng Yue

In this study, the LZ complexity of the nonlinear analysis method was used as the reference to process the EEG before and after the motor imagery task, and the results were compared statistically. It was concluded that the LZ complexity could be used as the feature vector to distinguish the hand grip and stretching in the whole EEG channel, and some of the EEG channels could be used in some bands. To distinguish whether there is movement; theta band can very well distinguish between the two imaginary movements; and also analyzed in motion (or imagination) before the relative calm state is not statistically different. These conclusions can provide a theoretical basis for subsequent brain computer interface experiments.