Brain-controlled vehicle sharing control method based on fuzzy control

A technology of fuzzy control and vehicle sharing, applied in the field of brain-controlled vehicle sharing control, can solve the problems of lack of brain-controlled vehicle supervision and guarantee, and achieve the effect of improving safety, making up for high recognition error rate and wide application prospects.

Active Publication Date: 2018-09-04
SOUTHEAST UNIV
View PDF5 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is still a lack of correction of wrong EEG instructions. In the absence of EEG instructions, there is a lack of supervision and guarantee for brain-controlled vehicles. How to establish an auxiliary shared control method between the human brain and the vehicle to maximize the protection of the vehicle? Driving safety has become an urgent technical problem to be solved

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Brain-controlled vehicle sharing control method based on fuzzy control
  • Brain-controlled vehicle sharing control method based on fuzzy control

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] The present invention is described in further detail now in conjunction with accompanying drawing. These drawings are all simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, so they only show the configurations related to the present invention.

[0021] A brain-controlled vehicle sharing control method based on fuzzy control according to the present invention. During the driving of the vehicle, when an EEG instruction with motor imagery is recognized online, the vehicle enters a fault-tolerant mechanism based on fuzzy control. When no motor imagery is recognized When the EEG command is given, the vehicle enters the intelligent driving mechanism based on fuzzy control;

[0022] Such as figure 1 As shown, the brain-controlled vehicle system mainly includes EEG signal acquisition, signal processing, shared control modules and vehicles; the specific work is as follows:

[0023] The first step is to use t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention relates to a brain-controlled vehicle sharing control method based on fuzzy control. The method is characterized in that: in the vehicle driving process, when an EEG command withmotion imagination is identified online, the vehicle enters a fault-tolerant mechanism based on fuzzy control; and when the EEG command with motion imagination is not identified, the vehicle enters an intelligent driving mechanism based on fuzzy control. According to the method provided by the present invention, the wrong EEG signal can be corrected, the vehicle can be supervised autonomously inthe case that there is no EEG command, the problems such as a high error rate in identification, poor real-time performance, the limited number of commands, and the like of the brain-computer interface are made up for, and the safety of brain-controlled vehicles in an unknown environment is greatly improved.

Description

technical field [0001] The invention relates to a brain-controlled vehicle sharing control method based on fuzzy control, which belongs to the field of BCI and the technical field of vehicle engineering. Background technique [0002] With the in-depth research of BCI (brain-computer interface) technology, its application objects are becoming more and more extensive, and brain-controlled vehicles are one of the research hotspots. Brain-controlled vehicles combine BCI technology with vehicle technology, and control the driving of vehicles through the recognition of brain electrical signals. Brain-controlled vehicles have great application value in military, civilian, and entertainment fields. They not only improve the mobility of the disabled, but also provide new ideas for driverless auxiliary control. [0003] After searching the existing technical literature, it is found that the research on brain-controlled vehicles at home and abroad is still in the preliminary stage, an...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01G06K9/00G05B13/04G05D27/02
CPCG05B13/042G05D27/02G06F3/015G06V20/588G06F2218/08G06F2218/12
Inventor 殷国栋龚蕾姜武杰武振胡梦然
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products