Applied Bionics and Biomechanics

Applied Bionics and Biomechanics / 2009 / Article

Open Access

Volume 6 |Article ID 712530 |

Juan C. Moreno, Fernando Brunetti, Enrique Navarro, Arturo Forner-Cordero, José L. Pons, "Analysis of the Human Interaction with a Wearable Lower-Limb Exoskeleton", Applied Bionics and Biomechanics, vol. 6, Article ID 712530, 12 pages, 2009.

Analysis of the Human Interaction with a Wearable Lower-Limb Exoskeleton

Received16 Feb 2009


The design of a wearable robotic exoskeleton needs to consider the interaction, either physical or cognitive, between the human user and the robotic device. This paper presents a method to analyse the interaction between the human user and a unilateral, wearable lower-limb exoskeleton. The lower-limb exoskeleton function was to compensate for muscle weakness around the knee joint. It is shown that the cognitive interaction is bidirectional; on the one hand, the robot gathered information from the sensors in order to detect human actions, such as the gait phases, but the subjects also modified their gait patterns to obtain the desired responses from the exoskeleton. The results of the two-phase evaluation of learning with healthy subjects and experiments with a patient case are presented, regarding the analysis of the interaction, assessed in terms of kinematics, kinetics and/or muscle recruitment. Human-driven response of the exoskeleton after training revealed the improvements in the use of the device, while particular modifications of motion patterns were observed in healthy subjects. Also, endurance (mechanical) tests provided criteria to perform experiments with one post-polio patient. The results with the post-polio patient demonstrate the feasibility of providing gait compensation by means of the presented wearable exoskeleton, designed with a testing procedure that involves the human users to assess the human-robot interaction.

Copyright © 2009 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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