Markerless motion analysis: evaluation of OpenPose software for clinical gait analysis

Victor Penev; Mario E. Giardini; Alexandra Ligeti; Phil Riches

Markerless motion analysis: evaluation of OpenPose software for clinical gait analysis

Victor Penev, Mario E. Giardini, Alexandra Ligeti, Phil Riches

Research output: Contribution to conference › Poster › peer-review

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Abstract

Motion analysis plays a crucial role in clinical, research, and rehabilitation settings. Markerless motion capture (MMC) could offer a cheaper, quicker and more accessible alternative to movement analysis than marker-based approaches. OpenPose is an open-source human pose estimation software which could potentially be used as part of a markerless approach.

Original language	English
Number of pages	1
Publication status	Published - 6 Sept 2024
Event	BioMedEng24 - Queen Mary University of London, London, United Kingdom Duration: 5 Sept 2024 → 6 Sept 2024 https://biomedeng.org/biomedeng24/

Conference

Conference	BioMedEng24
Country/Territory	United Kingdom
City	London
Period	5/09/24 → 6/09/24
Internet address	https://biomedeng.org/biomedeng24/

Keywords

IMU
kinematics
biomechanics
gait analysis
motion capture

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Penev-etal-BioMedEng-2024-Markerless-motion-analysisFinal published version, 994 KBLicence: Strath_1

Cite this

@conference{7c5537a8b0ec4682a189738d8df56b67,

title = "Markerless motion analysis: evaluation of OpenPose software for clinical gait analysis",

abstract = "Motion analysis plays a crucial role in clinical, research, and rehabilitation settings. Markerless motion capture (MMC) could offer a cheaper, quicker and more accessible alternative to movement analysis than marker-based approaches. OpenPose is an open-source human pose estimation software which could potentially be used as part of a markerless approach.",

keywords = "IMU, kinematics, biomechanics, gait analysis, motion capture",

author = "Victor Penev and Giardini, {Mario E.} and Alexandra Ligeti and Phil Riches",

year = "2024",

month = sep,

day = "6",

language = "English",

note = "BioMedEng24 ; Conference date: 05-09-2024 Through 06-09-2024",

url = "https://biomedeng.org/biomedeng24/",

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TY - CONF

T1 - Markerless motion analysis

T2 - BioMedEng24

AU - Penev, Victor

AU - Giardini, Mario E.

AU - Ligeti, Alexandra

AU - Riches, Phil

PY - 2024/9/6

Y1 - 2024/9/6

N2 - Motion analysis plays a crucial role in clinical, research, and rehabilitation settings. Markerless motion capture (MMC) could offer a cheaper, quicker and more accessible alternative to movement analysis than marker-based approaches. OpenPose is an open-source human pose estimation software which could potentially be used as part of a markerless approach.

AB - Motion analysis plays a crucial role in clinical, research, and rehabilitation settings. Markerless motion capture (MMC) could offer a cheaper, quicker and more accessible alternative to movement analysis than marker-based approaches. OpenPose is an open-source human pose estimation software which could potentially be used as part of a markerless approach.

KW - IMU

KW - kinematics

KW - biomechanics

KW - gait analysis

KW - motion capture

UR - https://biomedeng.org/biomedeng24/

M3 - Poster

Y2 - 5 September 2024 through 6 September 2024

ER -

Markerless motion analysis: evaluation of OpenPose software for clinical gait analysis

Abstract

Conference

Keywords

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