Prosthetic hand control method and device based on facial expression-driven EEG signals

Abstract

The invention discloses an artificial hand control method and apparatus for driving EEG signals on the basis of facial expressions. The method is characterized by comprising the following steps: a subject, according to four basic actions of an artificial hand, making corresponding four simple facial expressions; extracting the EEG signals through an EEG acquisition module, transmitting the EEG signals to a portable signal processing module through a Bluetooth transmission module, performing characteristic extraction and mode identification on the received EEG signals, transmitting an identification result to a control driving module through a wireless communication module, and driving a motor to finish artificial hand target actions through simulating the control driving module in an artificial arm cylinder.

Description

technical field [0001] The invention relates to the field of intelligent robots, in particular to a method and a device for controlling an intelligent prosthetic hand by an electroencephalogram signal. Background technique [0002] Due to the frequent occurrence of traffic accidents, industrial injuries, diseases and other reasons, the number of upper limb disabilities is gradually increasing. According to the adjusted data of my country's disabled people in 2006, the total number of disabled people in China is 82.96 million, of which 24.12 million are physically disabled, accounting for 29.07% of the total number of disabled people. The earliest prosthetic hands in my country were mainly decorative and did not have too many functional functions, so they could not assist the disabled to complete their basic life. Subsequently, decorative prosthetic hands were gradually replaced by mechanical prosthetic hands with simple functions. These prosthetic hands work through pre-edi...

AI Technical Summary

Problems solved by technology

The earliest prosthetic hands in my country were mainly decorative and did not have too many functional functions, so they could not assist the disabled to complete basic life

Subsequently, decorative prosthetic hands were gradually replaced by mechanical prosthetic hands with simple functions. These prosthetic hands work through pre-edited programs. Their functions are simple and cannot work according to the user's wishes, and they do not have a tactile feedback mechanism

With the development of biotechnology, computer technology, and microelectronics technology, scholars at home and abroad have recently launched the use of bioelectrical signals as the control source signal source of prosthetic hands. Most of these prosthetic hands use myoelectric signals as the control signal source, but for a long time The use of muscle fatigue affects the accuracy of control, and this type of prosthetic hand is not suitable for some patients who lack muscle control, such as patients with amyotrophic lateral sclerosis

[0003] The brain-controlled prosthetic hand solves the problem of low control accuracy caused by muscle fatigue in the traditional myoelectric prosthetic hand by directly establishing an "external channel" between the brain and the prosthetic hand. The EEG signal is used as the control source, and there is no in-depth study on the EEG signal driven by facial expressions as the control signal source of the prosthetic hand

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