Design and Experimental Evaluation of Wearable Lower Extremity Exoskeleton with Gait Self-adaptivity. Issue 12 (21st May 2019)

• Record Type: Journal Article
• Authors: Wang, Wenkang; Zhang, Liancun; Cai, Kangjian; Wang, Zhiheng; Zhang, Bainan; Huang, Qiang
• Is Part Of: Robotica. Volume 37:Issue 12(2019)
• Page Start: 2035
• Page End: 2055
• Publication Date: 2019-05-21
• Subjects: Lower extremity exoskeleton, -- Gait self-adaptivity, -- Passive, -- Mechanical design, -- Experimental evaluation; Robots -- Periodicals; 629.89205
• DOI: 10.1017/S0263574719000663
• Languages: English
• ISSNs: 0263-5747

Abstract

Summary: In this paper, we present a passive lower extremity exoskeleton with a simple structure and a light weight. The exoskeleton does not require any external energy source and can achieve energy transfer only by human body's own gravity. The exoskeleton is self-adaptive to human gait to achieve basic matching therewith. During walking, pulling forces are generated through Bowden cables by pressing plantar power output devices by feet, and the forces are transmitted to the exoskeleton through a crank-slider mechanism to enable the exoskeleton to provide torques for the ankle and knee joints as required by the human body during the stance phase and the swing phase. Our self-developed gait detection system is used to perform experiments on kinematics, dynamics and metabolic cost during walking of the human body wearing the exoskeleton in different states. The experimental results show that the exoskeleton has the greatest influence on motion of the ankle joint and has the least influence on hip joint. With the increase in elastic coefficient of the spring, the torques generated at the joints by the exoskeleton increase. When walking with wearing k3EF exoskeleton at a speed of 0.5 m/s, it can save the most metabolic cost, reaching 13.63%.