Automation enhancement and accuracy investigation of a portable single-camera gait analysis system

C. Yang, U. C. Ugbolue, D. McNicol, V. Stankovic, L. Stankovic, A. Kerr, B. Carse, K. T. Kaliarntas, P. J. Rowe

Research output: Contribution to journalArticle

Abstract

While optical motion analysis systems can provide high-fidelity gait parameters, they are usually impractical for local clinics and home use, due to high cost, requirement for large space, and lack of portability. In this study, we focus on a cost-effective and portable, single-camera gait analysis solution, based on video acquisition with calibration, autonomous detection of frames-ofinterest,
Kalman-filter+Structural-Similarity-based marker tracking, and autonomous knee angle calculation. The proposed system is tested using 15 participants, including 10 stroke patients and 5 healthy volunteers. The evaluation of autonomous frames-of-interest detection shows only 0.2% difference between the frame number of the detected frame compared to the frame number of
the manually labelled ground truth frame, and thus can replace manual labelling. The system is validated against a gold standard optical motion analysis system, using knee angle accuracy as metric of assessment. The accuracy investigation between the RGBand the grayscale-video marker tracking schemes shows that the grayscale system suffers from negligible accuracy loss with a significant processing speed advantage. Experimental results demonstrate that the proposed system can automatically estimate the knee angle, with R-squared value larger than 0.95 and Bland-Altman plot results smaller than 3.0127 degrees mean error.
LanguageEnglish
Pages1-9
Number of pages9
JournalIET Science, Measurement and Technology
Early online date21 Jan 2019
DOIs
Publication statusE-pub ahead of print - 21 Jan 2019

Fingerprint

gait
Gait analysis
systems analysis
automation
Automation
Cameras
cameras
augmentation
Kalman filters
Labeling
Costs
Calibration
markers
Processing
costs
ground truth
strokes
marking
Motion analysis
acquisition

Keywords

  • gait analysis
  • optical motion analysis
  • portable gait assessment

Cite this

@article{d30e5b68319d4c2b89770aa80f22c9b1,
title = "Automation enhancement and accuracy investigation of a portable single-camera gait analysis system",
abstract = "While optical motion analysis systems can provide high-fidelity gait parameters, they are usually impractical for local clinics and home use, due to high cost, requirement for large space, and lack of portability. In this study, we focus on a cost-effective and portable, single-camera gait analysis solution, based on video acquisition with calibration, autonomous detection of frames-ofinterest,Kalman-filter+Structural-Similarity-based marker tracking, and autonomous knee angle calculation. The proposed system is tested using 15 participants, including 10 stroke patients and 5 healthy volunteers. The evaluation of autonomous frames-of-interest detection shows only 0.2{\%} difference between the frame number of the detected frame compared to the frame number ofthe manually labelled ground truth frame, and thus can replace manual labelling. The system is validated against a gold standard optical motion analysis system, using knee angle accuracy as metric of assessment. The accuracy investigation between the RGBand the grayscale-video marker tracking schemes shows that the grayscale system suffers from negligible accuracy loss with a significant processing speed advantage. Experimental results demonstrate that the proposed system can automatically estimate the knee angle, with R-squared value larger than 0.95 and Bland-Altman plot results smaller than 3.0127 degrees mean error.",
keywords = "gait analysis, optical motion analysis, portable gait assessment",
author = "C. Yang and Ugbolue, {U. C.} and D. McNicol and V. Stankovic and L. Stankovic and A. Kerr and B. Carse and Kaliarntas, {K. T.} and Rowe, {P. J.}",
note = "This paper is a postprint of a paper submitted to and accepted for publication in IET Science, Measurement & Technology and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library.",
year = "2019",
month = "1",
day = "21",
doi = "10.1049/iet-smt.2018.5246",
language = "English",
pages = "1--9",
journal = "IET Science, Measurement and Technology",
issn = "1751-8822",
publisher = "Institution of Engineering and Technology",

}

Automation enhancement and accuracy investigation of a portable single-camera gait analysis system. / Yang, C.; Ugbolue, U. C.; McNicol, D.; Stankovic, V.; Stankovic, L.; Kerr, A.; Carse, B.; Kaliarntas, K. T.; Rowe, P. J. .

In: IET Science, Measurement and Technology, 21.01.2019, p. 1-9.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Automation enhancement and accuracy investigation of a portable single-camera gait analysis system

AU - Yang, C.

AU - Ugbolue, U. C.

AU - McNicol, D.

AU - Stankovic, V.

AU - Stankovic, L.

AU - Kerr, A.

AU - Carse, B.

AU - Kaliarntas, K. T.

AU - Rowe, P. J.

N1 - This paper is a postprint of a paper submitted to and accepted for publication in IET Science, Measurement & Technology and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library.

PY - 2019/1/21

Y1 - 2019/1/21

N2 - While optical motion analysis systems can provide high-fidelity gait parameters, they are usually impractical for local clinics and home use, due to high cost, requirement for large space, and lack of portability. In this study, we focus on a cost-effective and portable, single-camera gait analysis solution, based on video acquisition with calibration, autonomous detection of frames-ofinterest,Kalman-filter+Structural-Similarity-based marker tracking, and autonomous knee angle calculation. The proposed system is tested using 15 participants, including 10 stroke patients and 5 healthy volunteers. The evaluation of autonomous frames-of-interest detection shows only 0.2% difference between the frame number of the detected frame compared to the frame number ofthe manually labelled ground truth frame, and thus can replace manual labelling. The system is validated against a gold standard optical motion analysis system, using knee angle accuracy as metric of assessment. The accuracy investigation between the RGBand the grayscale-video marker tracking schemes shows that the grayscale system suffers from negligible accuracy loss with a significant processing speed advantage. Experimental results demonstrate that the proposed system can automatically estimate the knee angle, with R-squared value larger than 0.95 and Bland-Altman plot results smaller than 3.0127 degrees mean error.

AB - While optical motion analysis systems can provide high-fidelity gait parameters, they are usually impractical for local clinics and home use, due to high cost, requirement for large space, and lack of portability. In this study, we focus on a cost-effective and portable, single-camera gait analysis solution, based on video acquisition with calibration, autonomous detection of frames-ofinterest,Kalman-filter+Structural-Similarity-based marker tracking, and autonomous knee angle calculation. The proposed system is tested using 15 participants, including 10 stroke patients and 5 healthy volunteers. The evaluation of autonomous frames-of-interest detection shows only 0.2% difference between the frame number of the detected frame compared to the frame number ofthe manually labelled ground truth frame, and thus can replace manual labelling. The system is validated against a gold standard optical motion analysis system, using knee angle accuracy as metric of assessment. The accuracy investigation between the RGBand the grayscale-video marker tracking schemes shows that the grayscale system suffers from negligible accuracy loss with a significant processing speed advantage. Experimental results demonstrate that the proposed system can automatically estimate the knee angle, with R-squared value larger than 0.95 and Bland-Altman plot results smaller than 3.0127 degrees mean error.

KW - gait analysis

KW - optical motion analysis

KW - portable gait assessment

UR - https://digital-library.theiet.org/content/journals/iet-smt

U2 - 10.1049/iet-smt.2018.5246

DO - 10.1049/iet-smt.2018.5246

M3 - Article

SP - 1

EP - 9

JO - IET Science, Measurement and Technology

T2 - IET Science, Measurement and Technology

JF - IET Science, Measurement and Technology

SN - 1751-8822

ER -