Stable vision-induced brain-computer interface-based robot control method

Abstract

The invention relates to a stable vision-induced brain-computer interface-based robot control method. The method comprises the steps of firstly preprocessing an electroencephalogram signal obtained by actual collection with bandpass filtering; secondly, performing fast independent component analysis on the electroencephalogram signal obtained by preprocessing to obtain independent components; then using a Hilbert-Huang transform to dissolve the independent components to obtain an intrinsic mode function; performing spectrum analysis on the intrinsic mode function to obtain the needed features; finally using a threshold value judging method to classify the extracted features, and translating the classifying result into signals capable of being identified by a robot, thus realizing the real-time control on the robot. The robot control method is based on a stable vision-induced brain-computer interface, is high in transmission rate and is simple in equipment and device. The independent component analysis and Hilbert-Huang transform are combined in the feature extracting process, so the feature extracting is more effective. The limb-free action control on the motion of the robot is realized, and the severely paralyzed disabled with normal brain functions can control the robot to assist the disabled in normal living.

Description

technical field [0001] The invention relates to the field of robots, in particular to a robot control method based on a steady-state visually induced brain-computer interface. Background technique [0002] The Brian-Computer Interface (BCI) is a communication control system that does not depend on the normal output channels of the peripheral nerves and muscles of the brain. It establishes a direct communication channel between the brain and the outside world by collecting and analyzing the bioelectrical signals of the human brain, so that people can express their wishes or manipulate electronic equipment such as computers, speech synthesizers, auxiliary appliances, neural prostheses, and robots through the brain. The ultimate goal of brain-computer interface research is to design and implement a new type of assistive device for the disabled based on EEG signals to help disabled patients with movement disorders communicate better with the outside world. Therefore, research i...

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Problems solved by technology

[0005] Aiming at the problems existing in the prior art that the brain-computer interface device is complex, requires a lot of training, and cannot extract features effectively, the present invention provides a robot control method based on the steady-state visual evoked potential brain-computer interface. Steady-state visual evoked potentials evoked by flickering stimuli solve the complex problems of brain-computer interface hardware devices, and at the same time combine Independent Component Analysis (ICA) and Hilbert Huang Transform (HHT) in the process of feature extraction , so that the features of the EEG signal can be effectively extracted

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