A model of neuro-musculo-skeletal system for human locomotion under position constraint condition

• Published in: Journal of biomechanical engineering Vol. 125; no. 4; p. 499
• Main Authors: Ni, Jiangsheng, Hiramatsu, Seiji, Kato, Atsuo
• Format: Journal Article
• Language: English
• Published: United States 01.08.2003
• Subjects: Adaptation, Physiological - physiology; Algorithms; Biological Clocks - physiology; Computer Simulation; Feasibility Studies; Gait - physiology; Humans; Locomotion - physiology; Lower Extremity - physiology; Models, Biological; Models, Neurological; Muscle Contraction - physiology; Muscle, Skeletal - innervation; Muscle, Skeletal - physiology; Neurons - physiology; Postural Balance - physiology; Pressure; Stress, Mechanical; Torque
• ISSN: 0148-0731
• DOI: 10.1115/1.1590357

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.