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

Lehrstuhl für Robotik und Systemintelligenz

TUM - Lehrstuhl für Architekturinformatik, Prof. Dr.-Ing. Frank Petzold

Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung

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.

Originalsprache	Englisch
Seiten (von - bis)	254-257
Seitenumfang	4
Fachzeitschrift	Current Directions in Biomedical Engineering
Jahrgang	9
Ausgabenummer	1
DOIs	https://doi.org/10.1515/cdbme-2023-1064
Publikationsstatus	Veröffentlicht - 1 Sept. 2023

Zugriff auf Dokument

10.1515/cdbme-2023-1064

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Dieses zitieren

@article{d6c272b8fe3a4dfdae9b4272a847ab92,

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

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.",

keywords = "Gait Analysis, IMU, Vicon, VideoPose3D",

author = "Nikolas Wilhelm and Sami Haddadin and Micheler, {Carina M.} and Lang, {Jan J.} and Florian Hinterwimmer and Victor Schaack and Ricardo Smits and Rainer Burgkart",

note = "Publisher Copyright: {\textcopyright} 2023 the author(s), published by Walter de Gruyter Berlin/Boston.",

year = "2023",

month = sep,

day = "1",

doi = "10.1515/cdbme-2023-1064",

language = "English",

volume = "9",

pages = "254--257",

journal = "Current Directions in Biomedical Engineering",

issn = "2364-5504",

publisher = "Walter de Gruyter GmbH",

number = "1",

}

TY - JOUR

T1 - Development and Evaluation of a Cost-effective IMU System for Gait Analysis

T2 - Comparison with Vicon and VideoPose3D Algorithms

AU - Wilhelm, Nikolas

AU - Haddadin, Sami

AU - Micheler, Carina M.

AU - Lang, Jan J.

AU - Hinterwimmer, Florian

AU - Schaack, Victor

AU - Smits, Ricardo

AU - Burgkart, Rainer

PY - 2023/9/1

Y1 - 2023/9/1

N2 - 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.

AB - 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.

KW - Gait Analysis

KW - IMU

KW - Vicon

KW - VideoPose3D

UR - http://www.scopus.com/inward/record.url?scp=85173583202&partnerID=8YFLogxK

U2 - 10.1515/cdbme-2023-1064

DO - 10.1515/cdbme-2023-1064

M3 - Article

AN - SCOPUS:85173583202

SN - 2364-5504

VL - 9

SP - 254

EP - 257

JO - Current Directions in Biomedical Engineering

JF - Current Directions in Biomedical Engineering

IS - 1

ER -

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

Abstract

Zugriff auf Dokument

Andere Dateien und Links

Fingerprint

Dieses zitieren