Parallel multi-modal brain control method for complete grabbing operation of artificial hand

A multi-modal, prosthetic hand technology, applied in the field of intelligent robots, can solve the problems of non-prosthetic hand control technology research, and achieve the effect of improving accuracy and information transmission rate

Active Publication Date: 2016-06-15
XI AN JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

[0004] At present, domestic scholars still use the EEG signal under a single paradigm as the control source of the intelligent prosthetic hand, and have not conducted in-depth research on the prosthetic hand control technology based on the hybrid brain control technology.

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  • Parallel multi-modal brain control method for complete grabbing operation of artificial hand
  • Parallel multi-modal brain control method for complete grabbing operation of artificial hand
  • Parallel multi-modal brain control method for complete grabbing operation of artificial hand

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Embodiment Construction

[0031] A parallel multimodal brain-controlled prosthetic device based on the complete grasping operation of the prosthetic hand, including: an EEG signal acquisition module worn on the subject's head, a portable signal processing module placed on the subject's waist, and a prosthetic hand driven Control module, prosthetic hand body module, bluetooth transmission module, communication module and scene animation visual eliciting module placed within the visual range of the subject, the scene animation visual eliciting module plays different actions decomposed and processed to the subject A flickering image of the scene to elicit EEG signals from the subject.

[0032] In the above scheme, the EEG acquisition module adopts the special portable EEG cap EMOTIV with its own amplification filter, and selects the F7, F8, O1, O2 channel signals under the international standard 10 / 20. The portable signal processing module adopts an embedded microprocessor. The EEG acquisition module and...

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Abstract

The invention discloses a parallel multi-modal brain control method for complete grabbing operation of an artificial hand. On the basis of intelligent artificial hand control methods in the prior art that use EEG signals, the method integrates the reliability of a brain control paradigm that is evoked by vision on the basis of scene animations and of a brain control paradigm that is driven by expressions to improve the correct rate of complete grabbing operation of an artificial hand. EEG signals generated by visual evocation when a subject looks at different scene animations and EEG signals generated by different expressions are used as control information sources at the same time. By increasing individual differences between different types of EEG signals, the method achieves precise control of the artificial hand and further improves the accuracy and information transmission rate of a brain control artificial hand system.

Description

technical field [0001] The invention relates to the field of intelligent robots, in particular to a parallel multi-modal brain control method for a complete grasping operation of a prosthetic hand. Background technique [0002] With the continuous development of my country's economy, the total number of all kinds of disabled people and the proportion of the total population have increased, among them, amputation, amyotrophic lateral sclerosis (Amyotrophic Lateral Sclerosis, ALS) and other lack of physical mobility or muscle control ability There are a large number of disabled people, and their families often invest a lot of manpower and financial resources in care. In recent years, artificial hand control strategies based on EEG control sources have been gradually adopted by people. It uses EEG signals as a signal source to drive prosthetic hand movements, and establishes a direct connection between the two, thus helping some disabled people with spinal cord or peripheral ne...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/04
Inventor 张小栋李睿马伟光张黎明刘畅陈江城赖知法张强
Owner XI AN JIAOTONG UNIV
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