Human Motion Capture System Based 3D Reconstruction on Rehabilitation Assistance Stability of Lower Limb Exoskeleton Robot Climbing Upstairs Posture

被引:8
作者
Zheng, Yi [1 ,2 ]
Zhong, Peisi [1 ]
Liu, Kunhua [1 ]
Yang, Kaige [1 ]
Yue, Qingchao [2 ]
机构
[1] Shandong Univ Sci & Technol, Adv Mfg Technol Ctr, Qingdao 266590, Peoples R China
[2] Qingdao Huanghai Univ, Inst Intelligence & Manufacture, Qingdao 266427, Peoples R China
基金
中国国家自然科学基金;
关键词
Legged locomotion; Stability criteria; Man-machine systems; Exoskeletons; Extremities; Lower extremity exoskeleton robot; COG; stairs-climbing posture; inverted pendulum with virtual variable height; characteristics of stability; GENERATION; WALKING;
D O I
10.1109/JSEN.2019.2937559
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Stair-climbing posture is a common motion posture of lower extremity exoskeleton robots. In the process of climbing stairs, with the change of the gravity center of system, it has a direct impact on the dynamic stability characteristics of human-machine system. Based on this, a complete diagram of the stair-climbing posture can be set up, which can be divided into the starting stage, the intermediate stage and the ending stage. The foot trajectory, COG trajectory and ZMP trajectory of human-machine system in the intermediate stage of stair-climbing posture can be analyzed by drawing stair-climbing motion diagram of six-step. Based on the inverted pendulum theory, a virtual inverted pendulum model with variable height (VCHIPM) is proposed to analyze the influence of the change of the gravity center on the dynamic stability of the human-machine system in the upstairs posture. The test results show us that COG position can be changed by adjusting the value of a, so as to adjust the position of ZMP, reduce the error of ZMP and ensure the stability of human-machine system.
引用
收藏
页码:11778 / 11786
页数:9
相关论文
共 11 条
[1]   Video structural description technology for the new generation video surveillance systems [J].
Hu, Chuanping ;
Xu, Zheng ;
Liu, Yunhuai ;
Mei, Lin .
FRONTIERS OF COMPUTER SCIENCE, 2015, 9 (06) :980-989
[2]   Biped walking pattern generation by a simple three-dimensional inverted pendulum model [J].
Kajita, S ;
Kanehiro, F ;
Kaneko, K ;
Fujiwara, K ;
Yokoi, K ;
Hirukawa, H .
ADVANCED ROBOTICS, 2003, 17 (02) :131-147
[3]   Infrastructure Monitoring and Operation for Smart Cities Based on IoT System [J].
Lv, Zhihan ;
Hu, Bin ;
Lv, Haibin .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (03) :1957-1962
[4]   BIM Big Data Storage in WebVRGIS [J].
Lv, Zhihan ;
Li, Xiaoming ;
Lv, Haibin ;
Xiu, Wenqun .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (04) :2566-2573
[5]   Intelligent Security Planning for Regional Distributed Energy Internet [J].
Lv, Zhihan ;
Kong, Weijia ;
Zhang, Xin ;
Jiang, Dingde ;
Lv, Haibin ;
Lu, Xiaohui .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (05) :3540-3547
[6]   Expectation maximization transfer learning and its application for bionic hand prostheses [J].
Paassen, Benjamin ;
Schulz, Alexander ;
Hahne, Janne ;
Hammer, Barbara .
NEUROCOMPUTING, 2018, 298 :122-133
[7]   A neuroplasticity-inspired neural circuit for acoustic navigation with obstacle avoidance that learns smooth motion paths [J].
Shaikh, Danish ;
Manoonpong, Poramate .
NEURAL COMPUTING & APPLICATIONS, 2019, 31 (06) :1765-1781
[8]   A robotic model for Codman's paradox simulation and interpretation [J].
Tondu, Bertrand .
COMPTES RENDUS MECANIQUE, 2018, 346 (09) :855-867
[9]   Fuzzy Control Strategy for a Hexapod Robot Walking on an Incline [J].
Wang, Wen-June ;
Chou, Hao-Gong ;
Chen, Ying-Jen ;
Lu, Ruei-Chang .
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2017, 19 (06) :1703-1717
[10]   Recent progress and development of the humanoid robot HanSaRam [J].
Yoo, Jeong-Ki ;
Lee, Bum-Joo ;
Kim, Jong-Hwan .
ROBOTICS AND AUTONOMOUS SYSTEMS, 2009, 57 (10) :973-981