Brain-computer interface method based on logical thinking and image thinking

A technology of image thinking and logical thinking, applied in graphics reading, computer parts, mechanical mode conversion, etc., can solve the problems of inconvenient calculation and operation, a large number of feature vectors and electrodes, etc.

Active Publication Date: 2017-06-23
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Purpose of the invention: In order to overcome the deficiencies in the prior art, the present invention provides a brain-computer interface method based on logical thinking and visual thinking, which solves the problem that the original CSP algorithm requires a large number of eigenvectors and electrodes, which makes calculation and operation inconvenient question

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  • Brain-computer interface method based on logical thinking and image thinking
  • Brain-computer interface method based on logical thinking and image thinking
  • Brain-computer interface method based on logical thinking and image thinking

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Embodiment example 1

[0065] This embodiment provides a brain-computer interface method based on logical thinking and imagery thinking, such as figure 1 As shown, it includes: a visual stimulation module, an EEG signal collection module, a feature extraction module, a feature classification module and a control system; the visual stimulation module is connected with the EEG signal collection module, the EEG signal collection module is connected with the feature extraction module, and the feature extraction module is connected with the EEG signal collection module. The module is connected to the feature classification module, and the feature classification module is connected to the control system. Wherein, the visual stimulation module is used to induce the EEG signals for logical thinking and image thinking; the EEG signal collection module is used to collect EEG signals; The electrical signal is carried out in a single-electrode co-space mode to extract feature values; the feature classification ...

Embodiment example 2

[0085] This implementation case provides a brain-computer interface control method based on logical thinking and visual thinking. Since most of the subjects participating in the brain-computer interface have no experience of brain-computer interface control, the whole process includes the training system and the control system.

[0086] The training system includes:

[0087] (1) For the training of evoked EEG signals, firstly, the subjects performed SSVEP task training, and observed for about 1 minute whether there was a direct response to the most obvious evoked EEG signals. If there was a response, it proved that the subjects were suitable for the BCI test. The next step of training and testing can be carried out;

[0088] (2) The subjects are trained on the brain-computer interface of thinking tasks. The specific training methods are as follows. A group of thinking tasks are performed to make the subjects familiar with the content of the paradigm. Domain and frequency doma...

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Abstract

The invention discloses a brain-computer interface method and device based on logic thinking and imaginal thinking and relates to the field of novel pattern of brain-computer interface technology and feature extraction and classification. An experiment requires a testee for mental calculation and a three-dimensional object to rotate, signals of six electrodes are collected, and a common spatial pattern is adopted to extract feature values. Aiming at the problem that the common spatial pattern is suitable for multiple electrodes and the feature values, a common spatial filter algorithm is improved, electroencephalogram signals of one electrode are subjected to separation of different frequency bands and time periods, and the electroencephalogram signals are subjected to feature extraction calculation. The feature values are subjected to classification of a support vector machine, and excellent classification effect can be realized by the data processing mode through offline data analysis. A brain-computer interface based on logic thinking and imaginal thinking is constructed, reliability of a system is improved, experiment imaging difficulty and visual fatigue caused by long-term experiments are reduced, comfortability of the brain-computer interface system is improved, and application population range is expanded.

Description

technical field [0001] The invention relates to the field of artificial intelligence and the field of electroencephalogram signal recognition, in particular to a brain-computer interface method based on logical thinking and image thinking. Background technique [0002] Brain-Computer Interface (BCI for short) is a communication system that directly connects the brain with computers and external devices, independent of the normal output pathways composed of peripheral nerves and muscles. The brain-computer interface system has the advantages of non-invasive acquisition, simple operation and unique time resolution advantages. A BCI system usually consists of four modules: an EEG signal acquisition module, an EEG feature extraction module, an EEG feature classification module, and an external device control module. The feature extraction module and the feature classification module are the core parts of the entire brain-computer interface. It is through these two modules that ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01
Inventor 孙瀚张雄王保平仲雪飞樊兆雯张玉王力
Owner SOUTHEAST UNIV
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