Eye movement signal identification system and method based on common spatial pattern

Abstract

The invention discloses an eye movement signal identification system and method based on a common spatial pattern. The eye movement signal identification system comprises an eye movement signal preprocessing module, a spatial filter training module and an eye movement signal identification module. The eye movement signal identification method comprises the steps of collecting eye movement data based on an electro-oculogram and preprocessing the eye movement data; dividing all the preprocessed data into training data and testing data; adopting a CSP algorithm to conduct spatial filtering on the training data, and using the result obtained after filtering as feature parameters which are input into an SVM classifier for SVM model training; using the CSP algorithm to conduct feature extraction on the testing data, feeding the result obtained after the feature extraction into the trained SVM classifier for identification, and finally obtaining the identification result of eye movement. The eye movement signal identification system and method have the advantages that the accuracy of eye movement signal identification is higher, the eye movement signal spreading and classification capability is higher, and the application potential is large.

Description

technical field [0001] The invention relates to an eye movement signal recognition system and a recognition method based on a common spatial pattern (Common Spatial Pattern, CSP). Background technique [0002] Human-Computer Interaction (HCI) technology based on bioelectricity is a supplement to conventional human-computer interaction methods. In some special application scenarios, such as: the interaction between disabled groups and the external environment, clinical patient monitoring, It has strong practical application value in communication under special environment and driver's fatigue detection. Among them, the human-computer interaction technology based on EOG (electro-oculogram, electro-oculogram) has gradually become a research hotspot because of the strong amplitude and easy detection of electro-oculogram signals. [0003] The so-called electroocular signal refers to the potential difference between the potential generated by the movement of the eyes and the pote...

AI Technical Summary

Problems solved by technology

For eyeball saccade signals, there will be great differences in signal amplitude, duration, and saccade angle among different subjects or in different time periods of the same subject, which is not conducive to the identification of eye movement signals.

In order to solve this problem, the method of dynamic time warping has been used to identify eye movement signals, but due to the high similarity between upward saccades and left saccades, down saccades and right saccades, the recognition results Not particularly ideal, it is difficult to reach the point of practicality

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