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Motor imagery classification model training method, motor imagery method and related equipment

A classification model and training method technology, applied in the field of brain-computer interaction, can solve problems such as unrelated classification results and poor effect of user motor imagination, and achieve the effect of reducing perception burden, improving effect, and enhancing brain wave data

Pending Publication Date: 2020-12-15
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the prior art, in the method of using motor imagery to train the brain-computer interface, vision is usually used as the induction signal of motor imagery to train the brain-computer interface, and the feedback of classification results is not involved, resulting in poor effect of user's motor imagery

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  • Motor imagery classification model training method, motor imagery method and related equipment
  • Motor imagery classification model training method, motor imagery method and related equipment
  • Motor imagery classification model training method, motor imagery method and related equipment

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Embodiment Construction

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0026] This application proposes a training method for a motor imagery classification model, for details, please refer to figure 1 , figure 1 It is a schematic flowchart of an embodiment of the training method of the classification model provided by the present application. The training method of the classification model in this embodiment can be applied to brain-computer interaction devices, such as exoskeleton robots or wheelchairs, and can als...

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Abstract

The invention provides a training method of a motor imagery classification model, a motor imagery method and related equipment. The training method of the classification model comprises the steps of while indication action information is displayed, controlling a touch actuator to execute an action corresponding to the indication action information, and collecting brain wave data of a testee; synchronously labeling the brain wave data, and displaying the indication action information and the action corresponding to the indication action information executed by the actuator; collecting brain wave data of the testee in a visual state, brain wave data of the testee in a tactile state and brain wave data of the testee in a visual and tactile combined state; and training classification models inrespective states by utilizing the brain wave data of the testee in the visual state, the brain wave data of the testee in the tactile state and the brain wave data of the testee in the visual and tactile combined state until the training meets the requirements. According to the invention, the effect of user motor imagery is improved.

Description

technical field [0001] The present application relates to the technical field of brain-computer interaction, in particular to a training method for a motor imagery classification model, a motor imagery method and related equipment. Background technique [0002] Brain computer interface (BCI, brain computer interface) is a human-computer interaction technology that uses an EEG signal acquisition system to establish communication between the human brain and external devices. Brain-computer interface technology uses equipment such as EEG signal collectors and computers to collect EEG signals under specific training methods, and then uses machine learning methods to analyze and process EEG data, convert brain information into control commands, and realize the exchange between users and external devices. control. BCI training methods mainly include: motor imagery (MI, motor imagery), steady-state visual potential stimulation (SSVEP, steady-state visual evoked potentials) and P30...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F3/01
CPCG06F3/015G06F18/2451G06F18/214
Inventor 王灿段声才李梦瑶何柏霖吴新宇
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI