In view of the problems of low autonomy and poor real-time performance in the current ap-plication of brain-computer interface in the control field,research on remote low-latency control based on asynchronous brain-computer interface systems is carried out.The asynchronous brain-computer inter-face system uses the filter bank typical correlation analysis algorithm to realize feature recognition,and re-alizes state recognition by detecting continuous sliding window thresholds.On this basis,a two-level C/S architecture is built to decouple the original system.By analyzing the time and performance losses of tradi-tional control processes,a new control system architecture based on semi-synchronous and semi-asyn-chronous thread pools is designed.Experimental verification is carried out through a self-developed mobile sampling robot.The experimental results show that the system has the characteristics of remote control,low delay,high stability and high recognition rate.
关键词
异步脑机接口系统/半同步半异步线程池/低时延/控制系统
Key words
asynchronous brain-computer interface system/semi-synchronous and semi-asyn-chronous thread pools/low delay/control system
维普
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