DTW를 이용한 보행 분석 시 warping path 특성
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이현섭 | - |
dc.date.accessioned | 2021-08-31T19:17:22Z | - |
dc.date.available | 2021-08-31T19:17:22Z | - |
dc.date.created | 2021-06-17 | - |
dc.date.issued | 2020 | - |
dc.identifier.issn | 1229-5477 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/60709 | - |
dc.description.abstract | The purpose of this study was to investigate the characteristics of the warping path on gait patterns using the DTW algorithm. Participants in this study were consist of 20’s age of 10males and 10 females. Gait data obtained by a 3D motion analysis system analyzed using the DTW program made by Matlab’s functions. The analysis was performed 120 times including normal walking and abnormal walking. The length of the warping path relative to the reference sequences, and deviations was analyzed for the warping path calculated by the DTW program. The statistical method used in this study was a correlation, independent t-test, one-way ANOVA, and regression. The statistical significance level was =.05. In this study, the correlation coefficient of Pearson was =.816 between the warping path length and the deviation, and this relationship was verified by regression analysis. The statistically significant difference between normal walking and abnormal walking appeared in the warping path length and in the deviation. The analysis according to walking phases showed a statistically significant defference between the support phase and the swing phase. In conclusion, if the length of the warping path is greater than about 127% compared to the diagonal length between two sequences, normal walking can be suspected, and if the mean of the warping path length deviations is greater than about 5.8, normal walking can be suspected also. | - |
dc.language | Korean | - |
dc.language.iso | ko | - |
dc.publisher | 대한체육학회 | - |
dc.title | DTW를 이용한 보행 분석 시 warping path 특성 | - |
dc.title.alternative | Characteristics of warping path on gait analysis using the DTW | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 이현섭 | - |
dc.identifier.bibliographicCitation | 대한스포츠융합학회지, v.18, no.1, pp.93 - 103 | - |
dc.relation.isPartOf | 대한스포츠융합학회지 | - |
dc.citation.title | 대한스포츠융합학회지 | - |
dc.citation.volume | 18 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 93 | - |
dc.citation.endPage | 103 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART002594407 | - |
dc.description.journalClass | 2 | - |
dc.description.journalRegisteredClass | kci | - |
dc.description.journalRegisteredClass | other | - |
dc.subject.keywordAuthor | DTW | - |
dc.subject.keywordAuthor | Dynamic time warping | - |
dc.subject.keywordAuthor | Gait | - |
dc.subject.keywordAuthor | Gait pattern | - |
dc.subject.keywordAuthor | Warping path | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.