Development and Evaluation of a Cost-effective IMU System for Gait Analysis: Comparison with Vicon and VideoPose3D Algorithms

Nikolas Wilhelm; Sami Haddadin; Carina M. Micheler; Jan J. Lang; Florian Hinterwimmer; Victor Schaack; Ricardo Smits; Rainer Burgkart

doi:10.1515/cdbme-2023-1064

Development and Evaluation of a Cost-effective IMU System for Gait Analysis: Comparison with Vicon and VideoPose3D Algorithms

Nikolas Wilhelm, Sami Haddadin, Carina M. Micheler, Jan J. Lang, Florian Hinterwimmer, Victor Schaack, Ricardo Smits, Rainer Burgkart

Chair of Robotics and Systems Intelligence

Technical University of Munich

Research output: Contribution to journal › Article › peer-review

Abstract

This study aimed to develop and evaluate a costeffective Inertial Measurement Unit (IMU) system for gait analysis, comparing its performance with the Vicon system and the VideoPose3D algorithm. The system comprises five calibrated sensors and a mobile app to measure lower body orientation during gait and stair climbing. Eight healthy participants were involved in the experiment, each performing ten repetitions to analyze hip and knee flexion angles. The IMU system demonstrated significantly lower mean square error than deep learning-based approaches and comparable results to the Vicon system, indicating its potential for clinical and research applications.

Original language	English
Pages (from-to)	254-257
Number of pages	4
Journal	Current Directions in Biomedical Engineering
Volume	9
Issue number	1
DOIs	https://doi.org/10.1515/cdbme-2023-1064
State	Published - 1 Sep 2023

Keywords

Gait Analysis
IMU
Vicon
VideoPose3D

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abstract = "This study aimed to develop and evaluate a costeffective Inertial Measurement Unit (IMU) system for gait analysis, comparing its performance with the Vicon system and the VideoPose3D algorithm. The system comprises five calibrated sensors and a mobile app to measure lower body orientation during gait and stair climbing. Eight healthy participants were involved in the experiment, each performing ten repetitions to analyze hip and knee flexion angles. The IMU system demonstrated significantly lower mean square error than deep learning-based approaches and comparable results to the Vicon system, indicating its potential for clinical and research applications.",

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AU - Lang, Jan J.

AU - Hinterwimmer, Florian

AU - Schaack, Victor

AU - Smits, Ricardo

AU - Burgkart, Rainer

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Development and Evaluation of a Cost-effective IMU System for Gait Analysis: Comparison with Vicon and VideoPose3D Algorithms

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Keywords

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