Intelligent brain-computer interface wheelchair based on multi-mode hierarchical control

Abstract

The invention discloses an intelligent brain-computer interface wheelchair based on multi-mode hierarchical control. The intelligent brain-computer interface wheelchair comprises an electroencephalogram signal collection module, an electroencephalogram signal processing module, a motion control module and an electronically powered wheelchair. From the aspect of multi-mode hierarchical control, electroencephalogram signals caused by motion imagery conceptual work for expressing control intentions are collected, imagery right-left hands for reflecting human motion control wishes and eye opening and closing for reflecting selective control behaviors are combined, and thus the information transmission rate of a control system and the reliability of control information are improved. The electroencephalogram signals after amplification and filter are input to the signal processing module for conducting denoising, feature extraction and classification, the motion wishes of an operator are sent to the control module through an order, and therefore the motion such as going forward, turning left, turning right, drawing back, stopping, accelerating and decelerating of the electrically powered wheelchair can be achieved. The intelligent brain-computer interface wheelchair can meet the need for actual control operation of the wheelchair, can control the speed of the wheelchair, and has great value in the aspects like medical rehabilitation training and the disabled service.

Description

technical field [0001] The invention belongs to the fields of biomedical signal processing and artificial intelligence, and relates to a brain-computer interface intelligent wheelchair based on multi-mode hierarchical control. Background technique [0002] The brain-computer interface system is also known as the BCI (Brain Computer Interface) system. The definition of the International Brain-Computer Interface Conference is: a control system that does not depend on the normal output pathways composed of peripheral nerves and muscles in the brain. The function of the brain-computer interface system is to analyze the EEG signals collected in real time, and through feature extraction and pattern recognition operations, so as to judge people's action thoughts. BCI is a real-time communication system that connects the brain and external devices. It can directly convert the information sent by the brain into commands that can drive external devices, and replace human limbs or lang...

AI Technical Summary

Problems solved by technology

Gao Yang of Tianjin University and others used closed eyes to produce The brain-computer interface system designed for the characteristics of increased amplitude is applied to wheelchair control. Due to the limited number of recognized EEG patterns, it is difficult to provide multiple control signals.

The Brain-Computer Interface and Brain Information Processing Research Center of South China University of Technology has integrated ERD / ERS and visually induced P300 to successfully control the left and right steering of the electric wheelchair, and the acceleration and deceleration transformation of movement, but it requires long-term eyes to watch the screen. Easy to fatigue, and the real-time performance of the P300 method is relatively poor

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