Development and Application of A New Graphene Sensing Exoskeleton Device System for Lower Extremity Walking

Abstract

In view of the phenomenon that the exoskeleton lower limb walking robot is insensitive and wears less compliance, this project proposes the idea of using wearable sensors composed of graphene and its composite materials to realize the lower limb exoskeleton system. Through the lower limb joint movement mechanism combined with the feature of gait analysis, the design is consistent with human body engineering and meet the demand of rehabilitation in patients with lower limb joints more flexible exoskeleton, using graphene excellent mechanical properties and unique electrical characteristics, and material as the ideal two-dimensional structure, realizes the flexibility design of the sensor and preparation, and further perfect the wearable sensor through visual sensor, Various physiological signals of the human body are monitored to help lower extremity X bone aid meet the needs of patients. The multi-modal signals collected during the gait of the subjects are combined with machine learning methods to achieve accurate identification of the motion intention of patients. Meanwhile, gait parameters are analyzed to facilitate real-time adjustment of the robot. Finally, we hope to provide effective means for the rehabilitation of patients with lower limb motor dysfunction.