Frontal plane spatial and temporal gait assessment using MediaPipe pose

Gait analysis is a vital field in biomechanics, focusing on studying human walking patterns and movement. Traditional methods relied on visual observation, lacking accuracy and objectivity. Instrumented gait analysis improved measurements using specialized equipment like motion capture systems and w...

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Main Authors: Hii, Chang Soon Tony, Gan, Kok Beng, You, Huay Woon, Nasharuddin Zainal, Norlinah Mohamed Ibrahim, Shahrul Azmin
Format: Article
Language:en
Published: Penerbit Universiti Kebangsaan Malaysia 2024
Online Access:http://journalarticle.ukm.my/25562/1/kejut_22.pdf
http://journalarticle.ukm.my/25562/
https://www.ukm.my/jkukm/volume-3604-2024/
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author Hii, Chang Soon Tony
Gan, Kok Beng
You, Huay Woon
Nasharuddin Zainal,
Norlinah Mohamed Ibrahim,
Shahrul Azmin,
author_facet Hii, Chang Soon Tony
Gan, Kok Beng
You, Huay Woon
Nasharuddin Zainal,
Norlinah Mohamed Ibrahim,
Shahrul Azmin,
author_sort Hii, Chang Soon Tony
building Tun Sri Lanang Library
collection Institutional Repository
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
continent Asia
country Malaysia
description Gait analysis is a vital field in biomechanics, focusing on studying human walking patterns and movement. Traditional methods relied on visual observation, lacking accuracy and objectivity. Instrumented gait analysis improved measurements using specialized equipment like motion capture systems and wearable sensors, but had limitations due to cost, and markers or sensors interfering with natural movement. The field underwent a significant transformation with the advent of markerless pose estimation-based gait analysis, which harnessed computer vision methodologies to monitor human movement without the requirement for specialized equipment, delivering a cost-effective and easily accessible analysis in real-world environments. However, it still faces challenges, including limitations in the sagittal plane and reliance on computationally demanding models like OpenPose. This study introduced a novel frontal plane gait analysis approach using the lightweight MediaPipe Pose model and a single camera setup. The objective is to evaluate the feasibility, and accuracy of MediaPipe Pose by comparing it to the established 3D Vicon motion capture system. The proposed approach tracked body keypoints during gait, detected gait events based on ankle depth changes and vertical difference between left and right ankles, and calculated gait parameters. The findings demonstrated that MediaPipe Pose-based gait analysis showed promise for accurately analyzing gait parameters in the frontal plane with low mean absolute error (0.00–0.30). Combining this method with satellite technology enhances e-health by facilitating teleconsultations, remote diagnostics, and extending healthcare services to disaster-stricken or remote areas.
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institution Universiti Kebangsaan Malaysia
language en
publishDate 2024
publisher Penerbit Universiti Kebangsaan Malaysia
record_format eprints
spelling my-ukm.journal.255622025-07-14T08:27:59Z http://journalarticle.ukm.my/25562/ Frontal plane spatial and temporal gait assessment using MediaPipe pose Hii, Chang Soon Tony Gan, Kok Beng You, Huay Woon Nasharuddin Zainal, Norlinah Mohamed Ibrahim, Shahrul Azmin, Gait analysis is a vital field in biomechanics, focusing on studying human walking patterns and movement. Traditional methods relied on visual observation, lacking accuracy and objectivity. Instrumented gait analysis improved measurements using specialized equipment like motion capture systems and wearable sensors, but had limitations due to cost, and markers or sensors interfering with natural movement. The field underwent a significant transformation with the advent of markerless pose estimation-based gait analysis, which harnessed computer vision methodologies to monitor human movement without the requirement for specialized equipment, delivering a cost-effective and easily accessible analysis in real-world environments. However, it still faces challenges, including limitations in the sagittal plane and reliance on computationally demanding models like OpenPose. This study introduced a novel frontal plane gait analysis approach using the lightweight MediaPipe Pose model and a single camera setup. The objective is to evaluate the feasibility, and accuracy of MediaPipe Pose by comparing it to the established 3D Vicon motion capture system. The proposed approach tracked body keypoints during gait, detected gait events based on ankle depth changes and vertical difference between left and right ankles, and calculated gait parameters. The findings demonstrated that MediaPipe Pose-based gait analysis showed promise for accurately analyzing gait parameters in the frontal plane with low mean absolute error (0.00–0.30). Combining this method with satellite technology enhances e-health by facilitating teleconsultations, remote diagnostics, and extending healthcare services to disaster-stricken or remote areas. Penerbit Universiti Kebangsaan Malaysia 2024-07 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/25562/1/kejut_22.pdf Hii, Chang Soon Tony and Gan, Kok Beng and You, Huay Woon and Nasharuddin Zainal, and Norlinah Mohamed Ibrahim, and Shahrul Azmin, (2024) Frontal plane spatial and temporal gait assessment using MediaPipe pose. Jurnal Kejuruteraan, 36 (4). pp. 1561-1574. ISSN 0128-0198 https://www.ukm.my/jkukm/volume-3604-2024/
spellingShingle Hii, Chang Soon Tony
Gan, Kok Beng
You, Huay Woon
Nasharuddin Zainal,
Norlinah Mohamed Ibrahim,
Shahrul Azmin,
Frontal plane spatial and temporal gait assessment using MediaPipe pose
title Frontal plane spatial and temporal gait assessment using MediaPipe pose
title_full Frontal plane spatial and temporal gait assessment using MediaPipe pose
title_fullStr Frontal plane spatial and temporal gait assessment using MediaPipe pose
title_full_unstemmed Frontal plane spatial and temporal gait assessment using MediaPipe pose
title_short Frontal plane spatial and temporal gait assessment using MediaPipe pose
title_sort frontal plane spatial and temporal gait assessment using mediapipe pose
url http://journalarticle.ukm.my/25562/1/kejut_22.pdf
http://journalarticle.ukm.my/25562/
https://www.ukm.my/jkukm/volume-3604-2024/
url_provider http://journalarticle.ukm.my/