用于低成本步态分析系统的三种从2D视频中重建三维运动的方法的比较

IF 0.7 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Polish Journal of Medical Physics and Engineering Pub Date : 2021-12-01 DOI:10.2478/pjmpe-2021-0032
S. Cygan, Adriana Specyalska
{"title":"用于低成本步态分析系统的三种从2D视频中重建三维运动的方法的比较","authors":"S. Cygan, Adriana Specyalska","doi":"10.2478/pjmpe-2021-0032","DOIUrl":null,"url":null,"abstract":"Abstract Purpose: The aim of this study was to quantify the accuracy of 3D trajectory reconstructions performed from two planar video recordings, using three different reconstruction methods. Additionally, the recordings were carried out using easily available equipment, like built-in cellphone cameras, making the methods suitable for low-cost applications. Methods: A setup for 3D motion tracking was constructed and used to acquire 2D video recordings subsequently used to reconstruct the 3D trajectories by 1) merging appropriate coordinates, 2) merging coordinates with proportional scaling, and 3) calculating the 3D position based on markers’ projections on the viewing plane. As experimental verification, two markers moving at a fixed distance of 98.9 cm were used to assess the consistency of results. Next, gait analysis in five volunteers was carried out to quantify the differences resulting from different reconstruction methods. Results: Quantitative evaluation of the investigated 3D trajectories reconstruction methods showed significant differences between those methods, with the worst reconstruction approach resulting in a maximum error of 50% (standard deviation 13%), while the best resulting in a maximum error of 1% (standard deviation 0.44%). The gait analysis results showed differences in mean angles obtained with each reconstruction method reaching only 2°, which can be attributed to the limited measurement volume. Conclusions: Reconstructing 3D trajectory from 2D views without accounting for the “perspective error” results in significant reconstruction errors. The third method described in this study enables a significant reduction of this issue. Combined with the proposed setup, it provides a functional, low-cost gait analysis system.","PeriodicalId":53955,"journal":{"name":"Polish Journal of Medical Physics and Engineering","volume":"9 1","pages":"271 - 277"},"PeriodicalIF":0.7000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of three methods for reconstructing 3D motion from 2D video recordings for low cost gait analysis systems\",\"authors\":\"S. Cygan, Adriana Specyalska\",\"doi\":\"10.2478/pjmpe-2021-0032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Purpose: The aim of this study was to quantify the accuracy of 3D trajectory reconstructions performed from two planar video recordings, using three different reconstruction methods. Additionally, the recordings were carried out using easily available equipment, like built-in cellphone cameras, making the methods suitable for low-cost applications. Methods: A setup for 3D motion tracking was constructed and used to acquire 2D video recordings subsequently used to reconstruct the 3D trajectories by 1) merging appropriate coordinates, 2) merging coordinates with proportional scaling, and 3) calculating the 3D position based on markers’ projections on the viewing plane. As experimental verification, two markers moving at a fixed distance of 98.9 cm were used to assess the consistency of results. Next, gait analysis in five volunteers was carried out to quantify the differences resulting from different reconstruction methods. Results: Quantitative evaluation of the investigated 3D trajectories reconstruction methods showed significant differences between those methods, with the worst reconstruction approach resulting in a maximum error of 50% (standard deviation 13%), while the best resulting in a maximum error of 1% (standard deviation 0.44%). The gait analysis results showed differences in mean angles obtained with each reconstruction method reaching only 2°, which can be attributed to the limited measurement volume. Conclusions: Reconstructing 3D trajectory from 2D views without accounting for the “perspective error” results in significant reconstruction errors. The third method described in this study enables a significant reduction of this issue. Combined with the proposed setup, it provides a functional, low-cost gait analysis system.\",\"PeriodicalId\":53955,\"journal\":{\"name\":\"Polish Journal of Medical Physics and Engineering\",\"volume\":\"9 1\",\"pages\":\"271 - 277\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Polish Journal of Medical Physics and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/pjmpe-2021-0032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Polish Journal of Medical Physics and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/pjmpe-2021-0032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0

摘要

摘要目的:本研究的目的是量化使用三种不同的重建方法从两个平面视频记录中进行的三维轨迹重建的准确性。此外,这些录音是使用容易获得的设备进行的,比如内置的手机摄像头,这使得这些方法适用于低成本的应用。方法:构建三维运动跟踪装置,获取二维视频记录,通过合并适当的坐标,2)按比例缩放合并坐标,3)根据标记物在观看平面上的投影计算三维位置,重建三维轨迹。作为实验验证,我们使用两个固定距离为98.9 cm的标记物来评估结果的一致性。接下来,对5名志愿者进行步态分析,量化不同重建方法产生的差异。结果:对所研究的三维轨迹重建方法进行定量评价,结果表明这些方法之间存在显著差异,最差重建方法的最大误差为50%(标准差为13%),而最佳重建方法的最大误差为1%(标准差为0.44%)。步态分析结果显示,每种重建方法获得的平均角度差异仅为2°,这可归因于测量体积有限。结论:在不考虑“透视误差”的情况下,从二维视图重建三维轨迹会导致显著的重建误差。本研究中描述的第三种方法可以显著减少这个问题。结合所提出的设置,它提供了一个功能齐全,低成本的步态分析系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Comparison of three methods for reconstructing 3D motion from 2D video recordings for low cost gait analysis systems
Abstract Purpose: The aim of this study was to quantify the accuracy of 3D trajectory reconstructions performed from two planar video recordings, using three different reconstruction methods. Additionally, the recordings were carried out using easily available equipment, like built-in cellphone cameras, making the methods suitable for low-cost applications. Methods: A setup for 3D motion tracking was constructed and used to acquire 2D video recordings subsequently used to reconstruct the 3D trajectories by 1) merging appropriate coordinates, 2) merging coordinates with proportional scaling, and 3) calculating the 3D position based on markers’ projections on the viewing plane. As experimental verification, two markers moving at a fixed distance of 98.9 cm were used to assess the consistency of results. Next, gait analysis in five volunteers was carried out to quantify the differences resulting from different reconstruction methods. Results: Quantitative evaluation of the investigated 3D trajectories reconstruction methods showed significant differences between those methods, with the worst reconstruction approach resulting in a maximum error of 50% (standard deviation 13%), while the best resulting in a maximum error of 1% (standard deviation 0.44%). The gait analysis results showed differences in mean angles obtained with each reconstruction method reaching only 2°, which can be attributed to the limited measurement volume. Conclusions: Reconstructing 3D trajectory from 2D views without accounting for the “perspective error” results in significant reconstruction errors. The third method described in this study enables a significant reduction of this issue. Combined with the proposed setup, it provides a functional, low-cost gait analysis system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Polish Journal of Medical Physics and Engineering
Polish Journal of Medical Physics and Engineering RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
1.30
自引率
0.00%
发文量
19
期刊介绍: Polish Journal of Medical Physics and Engineering (PJMPE) (Online ISSN: 1898-0309; Print ISSN: 1425-4689) is an official publication of the Polish Society of Medical Physics. It is a peer-reviewed, open access scientific journal with no publication fees. The issues are published quarterly online. The Journal publishes original contribution in medical physics and biomedical engineering.
期刊最新文献
Parametrization of subsegmental infarcts using high spatial resolution 2DSTE and synthetic ultrasonic data Automated differential diagnostics of respiratory diseases using an electronic stethoscope Evaluating the impact of anatomical changes on dose distributions in head and neck cancer Comparing eDQE and eNEQ metrics – is there an alternative approach to assessing image quality in digital mammography? Vascular stiffness in cold pressor test hyper-reactors
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1