MSVM (multi-class support vector machine) electroencephalogram feature classification based method and intelligent wheelchair system

Abstract

The invention discloses an MSVM (multi-class support vector machine) electroencephalogram feature classification based method, and relates to the fields of feature classification and identification control of brain-computer interface technology. A support vector machine is adopted to perform feature classification on electroencephalograms, and aiming for the problem about parameter selection of an existing support vector machine algorithm, an improved parameter optimization method is provided. In order to achieving the multi-classification purpose, the principle and the structure of a multi-class support vector machine are researched on the basis of binary classification. Through analysis and comparison, the multi-class support vector machine in a binary tree form is selected to perform multi-feature classification, and the improved parameter optimization method is subjected to experimental verification under an offline environment.

Description

technical field [0001] The invention relates to the field of electroencephalogram (EEG) analysis and identification control, in particular to a feature classification method in an EEG processing system and an intelligent wheelchair system. Background technique [0002] Barrier-free technology is a kind of high-tech means to provide corresponding artificial assistance to people with a certain part of the body's function decline, so that they can live and work normally. Human-machine interaction technology (Human-Machine Interaction, HMI) is one of the core technologies of barrier-free technology. It is a technology that enables people and computers to communicate with each other through computer input and output devices. According to the different control methods adopted, human-computer interaction technology can be divided into two categories: the first category is to use traditional input devices such as mouse and keyboard to complete human-computer interaction tasks. Alth...

AI Technical Summary

Problems solved by technology

The motion control tasks of the older generation of smart wheelchairs are limited to the completion of control levers or control buttons. Although this method is accurate and effective, it is not suitable for some people with reduced limb function.

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