On Brain-Computer Coordination Control Theory And Key Technologies

To promote the brain-computer interface technology to practical use,paper brain controlled assistive robot(exoskeleton)as the research background,respectively,upper and lower extremity robot robot control objectives,to study the operation of real-time brain machine coordinated control system,target diversification and Operating three questions the accuracy and the like;also explored both diverse and multi-classification accuracy of motor imagery question,it will be available for brain-machine motor imagery task category coordinated control from Class 2 to 6 classes.Critical lower limb robot control is the process of moving to solve their balance problem that real-time control;inverted pendulum control a virtual object,the real-time problem of brain machine coordinated control system.Develop a feasible method of brain-computer training coordination and control,and signal feature extraction and classification algorithms adaptive optimization,while the system is improved from both man and machine,thus improving the accuracy of signal classification,basic solve the problem of real-time brain machine coordinate control;and static instability control objects included in the scope of BCI control system.The main problem is the diversity of the upper limb robot control target selection and precision operation;after the end of the robot arm motion modeling using P300 signal design,a set of 22 instruction instruction set,to achieve a multi-terminal of arm point control;after passing through two control operations,using the motion of the robot arm to imagine the signal to achieve a single and continuous control freedom of choice to solve the operational problems of accuracy.In addition,the study of upper limb shoulder,elbow,and wrist articulation imagine six separability of signal problems for diversification and accuracy while addressing the issue of a preliminary exploration.