Novel movement imagery electroencephalogram control-based intelligent wheelchair system

Abstract

The invention provides a novel movement imagery electroencephalogram control-based intelligent wheelchair system, and aims to provide a service auxiliary motion tool for paralyzed patients or elderly people and help them to take free activities outdoors. The system consists of a portable electroencephalogram acquisition system, a signal processing device, an interface circuit and an electric wheelchair, which are connected in turn. The portable electroencephalogram acquisition system is a set of simple and practicable electroencephalogram acquisition system and is used for recording electroencephalogram signals under user imaginary left and right hand motion tasks; the signal processing device is a signal processing module which operates on a laptop, extracts imagery motion-related electroencephalogram characteristics and identifies the subjective intention of the user; the interface circuit converts the identified subjective intention of the user into four paths of voltage signals; and the electric wheelchair receives the four paths of control voltage signals and controls the operating conditions of left and right rear wheel motors. The intelligent wheelchair system implementing mode can be applied to other application fields of direction control.

Description

technical field [0001] The invention relates to a new type of intelligent wheelchair system based on motor imagination EEG control, specifically refers to the collection of scalp EEG signals in the process of imagining left and right hand movements, and by analyzing the specific components of EEG, the direction of the user's imagination is judged, and the movement of the wheelchair is realized. System device for direction control. This system does not require any physical or verbal movements, but only needs the user to imagine the movement to complete the control of the direction of the wheelchair movement. The invention belongs to the combined application of the field of cognitive neuroscience and the field of information technology, and belongs to the field of automatic control technology. Background technique [0002] For those paralyzed patients, it is their dream to go outside and move freely. As a service auxiliary exercise tool in the field of medical care, smart wh...

AI Technical Summary

Problems solved by technology

The existing intelligent wheelchair control system based on the brain-computer interface and its EEG signal processing method have the following problems: (1) the user needs to keep an eye on the four circular direction lights on the control panel, which easily causes the user to fail to see them in time. Obstacles in the direction of travel can easily cause safety problems when traveling on more complex roads

Some of the existing EEG acquisition devices have strict requirements on the measurement environment, are not suitable for outdoor use, and cannot be used to reliably measure the user’s EEG signals in a non-laboratory environment, and most of the EEG processing algorithms are offline processing. The rate is low and cannot meet real-time requirements

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