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Journal ArticleDOI

A Low-Dimensional Sagittal-Plane Forward-Dynamic Model for Asymmetric Gait and Its Application to Study the Gait of Transtibial Prosthesis Users

TLDR
An extension of a recently developed low-dimensional modeling approach for normal human gait to the modeling of asymmetric gait, which predicts an increase in cost with addition of mass and a more distal location of the mass, as well as the existence of an alignment at which the costs are minimized.
Abstract
This paper presents an extension of a recently developed low-dimensional modeling approach for normal human gait to the modeling of asymmetric gait. The asymmetric model is applied to analyze the gait dynamics of a transtibial prosthesis user, specifically the changes in joint torque and joint power costs that occur with variations in sagittal-plane alignment of the prosthesis, mass distribution of the prosthesis, and roll-over shape of the prosthetic foot being used. The model predicts an increase in cost with addition of mass and a more distal location of the mass, as well as the existence of an alignment at which the costs are minimized. The model's predictions also suggest guidelines for the selection of prosthetic feet and suitable alignments. The results agree with clinical observations and results of other gait studies reported in the literature. The model can be a useful analytical tool for more informed design and selection of prosthetic components, and provides a basis for making the alignment process systematic.

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Journal ArticleDOI

Models, feedback control, and open problems of 3D bipedal robotic walking

TL;DR: The goals of this paper are to highlight certain properties of the models which greatly influence the control law design; overview the literature; present two control design approaches in depth; and indicate some of the many open problems.
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Human-Inspired Control of Bipedal Walking Robots

TL;DR: The main results are that, in the case of both under and full actuation, the parameters of this controller can be determined through a human-inspired optimization problem that provides the best fit of the human data while simultaneously provably guaranteeing stable robotic walking for which the initial condition can be computed in closed form.
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An experimental comparison of the relative benefits of work and torque assistance in ankle exoskeletons

TL;DR: Data from this experiment can be used to improve predictive models of human neuromuscular adaptation and guide the design of assistive devices.
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3D Bipedal Robotic Walking: Models, Feedback Control, and Open Problems

TL;DR: In this article, the authors highlight certain properties of the models which greatly influence the control law design, present two control design approaches, and indicate some of the many open problems for bipedal robots.
Journal ArticleDOI

Physics-based modeling and simulation of human walking: a review of optimization-based and other approaches

TL;DR: A review of human walking modeling and simulation is presented in this paper, focusing on physics-based human walking simulations in the robotics and biomechanics literature, and the gait synthesis methods are broadly divided into five categories: (1) inverted pendulum model; (2) passive dynamics walking; (3) zero moment point (ZMP) methods; (4) optimization based methods; and (5) control-based methods.
References
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Book

Biomechanics and Motor Control of Human Movement

TL;DR: The Fourth Edition of Biomechanics as an Interdiscipline: A Review of the Fourth Edition focuses on biomechanical Electromyography, with a focus on the relationship between Electromyogram and Biomechinical Variables.
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Mechanical work in terrestrial locomotion: two basic mechanisms for minimizing energy expenditure

TL;DR: During running, trotting, hopping, and galloping, the power per unit weight required to maintain the forward speed of the center of mass is almost the same in all the species studied and the sum of these two powers is almost a linear function of speed.
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The simplest walking model: stability, complexity, and scaling.

TL;DR: It is demonstrated that an irreducibly simple, uncontrolled, two-dimensional,Two-link model, vaguely resembling human legs, can walk down a shallow slope, powered only by gravity.
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Energetics of Actively Powered Locomotion Using the Simplest Walking Model

TL;DR: Simulations incorporating nonlinear equations of motion and more realistic inertial parameters show that power laws relating the toe-off impulses and effective spring constant to the speed and step length of the corresponding gait apply to more complex models as well.
Journal ArticleDOI

Mechanical work for step-to-step transitions is a major determinant of the metabolic cost of human walking

TL;DR: Mechanical work for step-to-step transitions, rather than pendular motion itself, appears to be a major determinant of the metabolic cost of walking.