Abstract
Issues that are central to the modeling and analysis of a human movement system include (1) musculotendon dynamics, (2) the kinetics and kinematics of the biomechanical system, and (3) the relationship between neurological control and the formulation of the system as an open or closed loop process. This paper will address these problems in the context of two particular movement systems. The first to be addressed is the human ocular system. Eye movement systems are ideal for studying human control of movement since they are of relatively low dimension and easier to control than other neuromuscular systems. By scrutinizing the trajectories of eye movements it is possible to infer the effects of motoneuronal activity, deduce the central nervous system’s control strategy, and systematically observe the effects of perturbations in the controls. An application of the locomotory-control system will also be presented in this paper. In particular, a model of human gait is developed for the purpose of relating neural controls to the state of stress in a skeletal member. This is achieved by modeling the human body as an ensemble of articulating rigid-body segments controlled by a minimal muscle set. Neurological signals act as the input into the musculotendon dynamics and from the resulting muscular forces, the joint moments and resulting motion of the segmental model are derived.
This research was supported by NSF grants ECS-9720357, DMS-9628558 and Texas Advanced Research Program Grant No. 003644-123.
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© 1999 Birkhäuser Verlag Basel/Switzerland
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Martin, C.F., Schovanec, L. (1999). The Control and Mechanics of Human Movement Systems. In: Picci, G., Gilliam, D.S. (eds) Dynamical Systems, Control, Coding, Computer Vision. Progress in Systems and Control Theory, vol 25. Birkhäuser Basel. https://doi.org/10.1007/978-3-0348-8970-4_9
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DOI: https://doi.org/10.1007/978-3-0348-8970-4_9
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