Research Of Intelligent Wheel Control And Human-computer Interaction Based On Single-channel BCI

As the physically handicapped people to the requirement of increasing the quality of life,there is great necessity for man-computer interactive intelligent wheelchair based on EEG control.However,the intelligent wheelchair control system based on motor imagery EEG is very huge,the cost of signal acquisition equipment is expensive,and wheelchair free movement is limited,so it is limited to laboratory research and can not be applied in large scale.So this paper developed the man-machine interactive intelligent wheelchair system with low cost and good performance,the system used portable the single channel BCI equipment to acquire EEG,adopted EEG blink characteristics and concentration parameters combined with the man-machine interface to control wheelchair movement,ultimately achieved basic motion,real-time and operability could meet the request.First of all,researched mechanism and characteristics of EEG,analyzed operating principle of brain-computer interface system and its research status at home and abroad.Researched FFT,Wavelet transform theory and Power spectrum estimate three algorithms and respectively matlab simulation,improved based on the soft and hard threshold wavelet shrinkage algorithm and evaluate d improvement effect.Secondly,Selected the brain electrical signal acquisition and transmission way,received original EEG and by using wavelet shrinkage algorithm to process EEG artifact,through feature recognition algorithm to identify the characteristics and concentration characteristics of blink and converted to the control signal,in MFC platform designed human-computer interaction system based on EEG blink.Selected some sample size design the blink of an eye brain electrical signal characteristic parameters calibration experiment and validate,according to the calibration results set the blinking signal threshold and concent ration parameters to complete the human-computer interaction experiment research.Thirdly,completed design that the intelligent wheelchair control and human-computer interaction system based on single channel BCI of hardware and software design.Designed processor core control circuit of STM32 and the EEG acquisition and transmission,DC motor control,interactive display interface,and obstacle avoidance system of auxiliary hardware circuit,transplanted ?C/OS-III that embedded real-time operating system and STem Win graphical interface in STM32,in the system receiving and decoding EEG and blink feature recognition,compil ed and debugged the program that intelligent wheelchair state control and interactive interface information display,implemented software system that the intelligent wheelchair and human-computer interaction control.Finally,united to debug hardware and software system that intelligent wheelchair control and human-computer interaction based on the blink EEG,respectively in different types of paths,controlled the wheelchair movement by using the characteristics of blinking EEG signals and their concentration parameters,do experiments to test system performance,completed the relevant test data and analyzed of the results.The results of test showed that the intelligent wheelchair control and human-computer interaction system based on the single channel BCI had better real-time and operability,it laid a foundation for the further research of the portable BCI technology in practical application.