A model of the neuro-musculo-skeletal system for anticipatory adjustment of human locomotion during obstacle avoidance

1998 ◽  
Vol 78 (1) ◽  
pp. 9-17 ◽  
Author(s):  
Gentaro Taga
Keyword(s):  
Obstacle Avoidance ◽  
Human Locomotion ◽  
Skeletal System ◽  
Anticipatory Adjustment

A NOVEL METHOD TO EVALUATE HUMAN LOCOMOTION ABILITY BASED ON THE FINITE ELEMENT MODELING AND SIMULATION OF MUSCULOSKELETAL SYSTEM

2015 ◽  
Vol 27 (01) ◽  
pp. 1550010 ◽  
Author(s):  
Gaofeng Wei ◽  
Xudong Yu ◽  
Qiushi Ren
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Finite Element Modeling ◽  
Modeling And Simulation ◽  
Musculoskeletal System ◽  
Element Model ◽  
Human Locomotion ◽  
Skeletal System ◽  
Novel Method

A novel method based on the finite element modeling and simulation of human musculoskeletal system was proposed to evaluate the human locomotion ability in this paper. Biomechanical models that compute muscle forces and human joint forces are broadly applicable to the study of factors that promote human musculoskeletal injury and optimize musculoskeletal motion planning. However, it is still difficult to acquire the biomechanical characteristics of human skeletal system in vivo. Especially, there is little research about the biomechanical modeling and simulation of the entire human skeletal system. The finite element method was broadly used various mechanical analyses. It has been used to model and simulate biomechanical behavior of segments of human skeletal system, such as arthrosis, organs and so on. A novel finite element model of the entire human skeletal system was proposed in this paper. As far as we know, there is no similar reports yet. First, the anatomical detailed three-dimension models of human musculoskeletal system were reconstructed from the cross-sectional images of China Visible Human Project. Second, the sectional finite element models of musculoskeletal system was built. And, the finite element model of the entire human musculoskeletal system was integrated. In the end, a weightlifting motor task simulation was implemented as a case study using the proposed method on supercomputer platform Dawning4000A in Shanghai Supercomputer Center. The muscle forces and the skeleton stresses of subject during weightlifting locomotion were obtained. Based on these parameters, the locomotion ability of subject was evaluated. It was validated that the proposed method could provide the inbeing biomechanical information of musculoskeletal system in vivo. Furthermore, it could evaluate human locomotion ability based on these information from a novel viewpoint.

A Model of Neuro–Musculo–Skeletal System for Human Locomotion Under Position Constraint Condition

2003 ◽  
Vol 125 (4) ◽  
pp. 499-506 ◽  
Author(s):  
Jiangsheng Ni ◽  
Seiji Hiramatsu ◽  
Atsuo Kato
Keyword(s):  
Position Control ◽  
Sensory System ◽  
Target Position ◽  
Human Locomotion ◽  
Neural System ◽  
The Body ◽  
Feedback Controller ◽  
Constraint Condition ◽  
Skeletal System ◽  
The Stability

The human locomotion was studied on the basis of the interaction of the musculo–skeletal system, the neural system and the environment. A mathematical model of human locomotion under position constraint condition was established. Besides the neural rhythm generator, the posture controller and the sensory system, the environment feedback controller and the stability controller were taken into account in the model. The environment feedback controller was proposed for two purposes, obstacle avoidance and target position control of the swing foot. The stability controller was proposed to imitate the self-balancing ability of a human body and improve the stability of the model. In the stability controller, the ankle torque was used to control the velocity of the body gravity center. A prediction control algorithm was applied to calculate the torque magnitude of the stability controller. As an example, human stairs climbing movement was simulated and the results were given. The simulation result proved that the mathematical modeling of the task was successful.

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