Method for making electroencephalogram target judgment with assistance of machine vision

Abstract

The invention discloses a method for making electroencephalogram target judgment with assistance of machine vision. With the method, a problem that the single-trial P300 detection algorithm precision is reduced because of changing of a P300 component incubation period due to specific implication of a target image can be solved. The method comprises: (1), an electroencephalogram signal collection device collects a tested electroencephalogram signal; (2), a changing error of a tested P300 component incubation period is determined; (3), a position of a target image in an image sequence is localized based on the P300 component; (4), a target candidate image is determined by combining the incubation period changing error determined at the step (2) and the target image position determined by the single-trail detection algorithm at the step (3); and (5), identification and classification are carried out on the target candidate image by using machine vision, and an image type with the highest occurrence frequency is used as a concerned target image type on trial. The method has advantages of high accuracy and low false alarm rate.

Description

Technical field [0001] The invention relates to an image retrieval method that combines machine vision and EEG signals, and particularly relates to a method for assisting EEG target judgment by machine vision. Background technique [0002] In image retrieval technology, how to find a specific image is a difficult problem. Through natural evolution, the human brain has the ability to quickly and deeply grasp images. Introducing the visual system of the human brain into the existing image retrieval technology to improve the results of image retrieval is a research direction in the current image retrieval system. The pictures are presented using the rapid sequence presentation paradigm (RSVP). The pictures are quickly presented to the subjects at a speed of 5-12 frames per second. The subjects watch these pictures and collect the EEG signals generated by the subjects while watching the pictures. When the subjects see the target picture of interest, a specific component is induced ...

AI Technical Summary

Problems solved by technology

[0004] The invention overcomes the problem in the prior art that the specific meaning of the target image will lead to changes in the latency of the P300 components, resulting in a decrease in the accuracy of the single-trial P300 detection algorithm, and provides a machine vision-assisted brain with high accuracy and low false alarm rate. Method of Electric Target Judgment

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