A Continuous Steering Control Method Based on Brain-Computer Interface

Abstract

The invention discloses a continuous steering control method based on a brain-computer interface, which consists of an EEG cap, a signal acquisition and amplification module, a signal sampling and transmission module, an embedded system, an instruction output, and a signal processing and analysis module, wherein: the EEG cap : Produced based on the 10-20 international standard lead system, it is specially used to collect EEG signals; the beneficial effect of the present invention is to improve the response speed of the control using EEG signals, and improve the shortcomings of the current steering system based on the brain-computer interface , to help the user restore the steering of the autonomous driving vehicle, and can realize rapid and continuous output of vehicle steering control commands; the EEG acquisition and steering control of the present invention adopts wireless transmission, which realizes the characteristics of space isolation and convenient portability; the present invention is embedded in low-performance Filtering algorithms and classifiers are implemented on standard devices, and the classification process does not require cumbersome data calculations, and the processing speed is fast.

Description

A continuous steering control method based on brain-computer interface technical field The invention belongs to biological signal processing and automatic control technical field, be specifically related to a kind of connection based on brain-computer interface. Continue steering control method. Background technique Brain-computer interface is a direct communication and control channel established between human brain and computer or other electronic equipment, Through this channel, people can express ideas or manipulate devices directly through the brain, without the need for words or actions, which can have It can effectively enhance the ability of patients with severe physical disabilities to communicate with the outside world or control the external environment, thereby improving the quality of life of patients Brain-computer interface technology is an interdisciplinary technology involving neuroscience, signal detection, signal processing, and pattern recognition...

AI Technical Summary

Problems solved by technology

[0003] The application number is CN202011064190.5, which discloses a wheelchair control method based on the SSMVEP-ERP-OSR hybrid brain-computer interface drive: it describes that the wheelchair's target control instructions include forward, backward, accelerated forward, decelerated forward, left turn, right turn, acceleration Retreat, decelerate, retreat, and stop, corresponding to the Newton ring of the SSMVEP-ERP-OSR mixed paradigm played on the screen with three rows and three columns stated in the invention, to realize the control of the wheelchair, but the number of EEG electrodes used in the invention Many, continuous control cannot be achieved for the steering of the wheelchair

[0004] The application number is CN112000087A, which discloses an intention-priority fuzzy fusion control method for brain-controlled vehicles: it describes the invention of brain-computer interface based on steady-state motor-evoked potentials of rotational visual perception to control vehicle steering; the invention uses three on-screen The left, middle, and right patterns of the paradigm correspond to turning left, holding, and turning right, and then the collected EEG signals are processed and sent to the fuzzy brain-controlled fusion controller for assistance. The controller divides the steering wheel of the vehicle into severe deflection to the left. , medium deflection to the left, slight deflection to the left, hold the steering wheel, severe deflection to the right, medium deflection to the right, and slight deflection to the right to control the steering in 7 levels; The brain-computer interface of SSVEP still needs to use the screen to visually trigger the EEG signal

[0005] There are many researches based on EEG signal analysis. In order to help disabled people with movement disorders and people with upper limb disabilities to have autonomous activities within a certain range, there are brain-controlled wheelchairs, brain-controlled prosthetics, and brain-controlled nursing beds. However, on devices that require continuous control output (such as brain-controlled wheelchair steering, brain-controlled intelligent nursing bed lifting the back and feet) actions cannot achieve fine control; at present, the continuous output control signal is Based on the sensorimotor rhythm (SMR) brain-computer interface; secondly, the collection of EEG signals requires a large number of electrodes, which is not conducive to product design. Can the number of electrodes be reduced to collect reliable EEG signals? Most of the systems used for steering control They are all based on embedded devices with low computing performance, not based on personal computers, so they cannot be processed by complex algorithms

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