Multiple sensing method study for soldier wearable lower extremity exoskeleton robot

Lower extremity exoskeleton robot is a wearable robot technology and integration of a variety of complex man-machine systems. In view of the lower extremity exoskeleton robot in combat, logistical support that may be encountered when the complex terrain, varied tasks randomly, just by driving a typical gait planning based on established procedures known to perform a specific action, it is difficult coupling between man and machine and switching operation of high randomness. In this paper, simulation and extract six lower limb movements of common soldiers as follow-up study, then analyzed the perception and control theory of lower extremity exoskeleton robot, And the sensing method is proposed to predict the perception EEG, EMG accurate perception and fiber-based real-time correction of multi-information fusion. It emphasizes the human intelligence to participate in robot control, in order to promote the practical soldier wearable lower limb exoskeleton robot.