手臂-CODA:常规检查期间人体上肢运动数据集

IF 0.7 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Sylvain W. Combettes, Paul Boniol, A. Mazarguil, Danping Wang, Diego Vaquero-Ramos, Marion Chauveau, Laurent Oudre, N. Vayatis, P. Vidal, A. Roren, M. Lefèvre-Colau
{"title":"手臂-CODA:常规检查期间人体上肢运动数据集","authors":"Sylvain W. Combettes, Paul Boniol, A. Mazarguil, Danping Wang, Diego Vaquero-Ramos, Marion Chauveau, Laurent Oudre, N. Vayatis, P. Vidal, A. Roren, M. Lefèvre-Colau","doi":"10.5201/ipol.2024.494","DOIUrl":null,"url":null,"abstract":"This article thoroughly describes a data set of 240 multivariate time series collected using 34 Cartesian Optoelectronic Dynamic Anthropometer (CODA) placed on the upper limb of 16 healthy subjects each undergoing 15 predefined movements such as raising their arms or combing their hair. Each sensor records its position in the 3D space. In total, 2.5 hours of time series are collected. A remarkable aspect of this data set is the extensive availability of metadata: subjects’ characteristics (age, height, etc.) as well as movements’ annotations. Indeed, for each subject and each movement, the start and end time stamps of at least two iterations of the same movement are provided. In addition to the study of human motion, this data set can be used to evaluate generic time series analytical tasks such as multivariate time series segmentation, clustering, or classification.","PeriodicalId":54190,"journal":{"name":"Image Processing On Line","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Arm-CODA: A Data Set of Upper-limb Human Movement During Routine Examination\",\"authors\":\"Sylvain W. Combettes, Paul Boniol, A. Mazarguil, Danping Wang, Diego Vaquero-Ramos, Marion Chauveau, Laurent Oudre, N. Vayatis, P. Vidal, A. Roren, M. Lefèvre-Colau\",\"doi\":\"10.5201/ipol.2024.494\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article thoroughly describes a data set of 240 multivariate time series collected using 34 Cartesian Optoelectronic Dynamic Anthropometer (CODA) placed on the upper limb of 16 healthy subjects each undergoing 15 predefined movements such as raising their arms or combing their hair. Each sensor records its position in the 3D space. In total, 2.5 hours of time series are collected. A remarkable aspect of this data set is the extensive availability of metadata: subjects’ characteristics (age, height, etc.) as well as movements’ annotations. Indeed, for each subject and each movement, the start and end time stamps of at least two iterations of the same movement are provided. In addition to the study of human motion, this data set can be used to evaluate generic time series analytical tasks such as multivariate time series segmentation, clustering, or classification.\",\"PeriodicalId\":54190,\"journal\":{\"name\":\"Image Processing On Line\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2024-01-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Image Processing On Line\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5201/ipol.2024.494\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Image Processing On Line","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5201/ipol.2024.494","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0

摘要

这篇文章详尽描述了使用 34 个笛卡尔光电动态人体测量仪(CODA)收集的 240 个多变量时间序列数据集,这些数据集放置在 16 名健康受试者的上肢上,每个受试者都做了 15 个预定义的动作,如抬起手臂或梳头。每个传感器记录其在三维空间中的位置。总共收集了 2.5 小时的时间序列。该数据集的一个显著特点是提供了大量元数据:受试者的特征(年龄、身高等)以及动作注释。事实上,对于每个受试者和每个动作,都提供了同一动作至少两次迭代的开始和结束时间戳。除了研究人体运动,该数据集还可用于评估一般的时间序列分析任务,如多元时间序列分割、聚类或分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Arm-CODA: A Data Set of Upper-limb Human Movement During Routine Examination
This article thoroughly describes a data set of 240 multivariate time series collected using 34 Cartesian Optoelectronic Dynamic Anthropometer (CODA) placed on the upper limb of 16 healthy subjects each undergoing 15 predefined movements such as raising their arms or combing their hair. Each sensor records its position in the 3D space. In total, 2.5 hours of time series are collected. A remarkable aspect of this data set is the extensive availability of metadata: subjects’ characteristics (age, height, etc.) as well as movements’ annotations. Indeed, for each subject and each movement, the start and end time stamps of at least two iterations of the same movement are provided. In addition to the study of human motion, this data set can be used to evaluate generic time series analytical tasks such as multivariate time series segmentation, clustering, or classification.
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
Image Processing On Line
Image Processing On Line COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
1.90
自引率
0.00%
发文量
23
审稿时长
16 weeks
期刊介绍: IPOL publishes relevant image processing and image analysis algorithms emphasizing the role of mathematics as a source for algorithm design. The publication is as precise and comprehensive as possible. To this aim, the publication of each algorithm is fourfold and includes: a manuscript containing the detailed description of the published algorithm, of its bibliography, along with commented examples and a failure case analysis; a software implementation of the algorithm in C, C++ or Matlab; an online demo, where the algorithm can be tested on data sets uploaded by the users; an archive containing extensive online experiments. The restricted goal of IPOL is to make accessible the algorithms in their uttermost explicit form to the scientific community. The publication of an algorithm by IPOL is different from, and complementary to a classic journal publication.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信