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Updated: Mar 27, 2026

3D Kinematic Gait Analysis for Preclinical Studies in Rodents

3D Kinematic Gait Analysis for Preclinical Studies in Rodents

Published on: August 3, 2019

Statically vs dynamically balanced gait: Analysis of a robotic exoskeleton compared with a human.

Giulia Barbareschi, Rosie Richards, Matt Thornton

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 7, 2016

Summary

The REX exoskeleton offers self-balancing gait for rehabilitation but differs from natural human walking. Understanding these kinematic and kinetic differences is crucial for optimizing assistive and rehabilitative applications of wearable robots.

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Last Updated: Mar 27, 2026

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Area of Science:

Biomechanics
Robotics
Rehabilitation Engineering

Background:

Wearable robotic exoskeletons are increasingly popular for assistive and rehabilitative purposes.
The REX exoskeleton by REX Bionics uniquely self-balances, unlike many other wearable robots requiring external support.
Existing literature highlights differences between human gait and the statically balanced gait of the REX exoskeleton.

Purpose of the Study:

To compare the kinematic and kinetic parameters of gait between a subject using the REX exoskeleton and typical human gait data.
To analyze the impact of these gait differences on the effectiveness of assistive and rehabilitative applications.

Main Methods:

Gait analysis of a subject wearing the REX exoskeleton.
Comparison of kinematic and kinetic data with established human gait literature.

Main Results:

Significant kinematic and kinetic differences identified between REX exoskeleton gait and human gait.
The REX exoskeleton exhibits a statically balanced gait, contrasting with the dynamically balanced gait of humans.

Conclusions:

The REX exoskeleton's self-balancing gait presents distinct biomechanical characteristics compared to human gait.
Further research is needed to understand and mitigate the implications of these differences for optimal use in rehabilitation and assistive technologies.