Design and implementation of a human-machine interaction platform for analysis on human cognitive behaviors

Abstract

It has been noted that human operating skills had a great impact on performance of human-machine systems. Cognitive behaviors of human operators have been naturally considered as important research contents and have received more and more concern from academia. Research on human cognitive behaviors plays an important role in development of autonomous mechatronic systems and progress in rehabilitation engineering. This paper concerns the design and implementation of a human-machine interaction system on which EEG signals and behavior data can be recorded simultaneously. On this platform, we can set different operating conditions under which operators perform the human-machine interaction tasks, such as the size of time-delay, different multimedia feedback, and etc.. This work establishes the foundation for research on cognitive behaviors of human operators in human-machine interaction systems and neural control systems.