Optimal merging of kinematic and kinetic information to determine the position of the whole body Center of Mass

Charlotte Le Mouel
{"title":"Optimal merging of kinematic and kinetic information to determine the position of the whole body Center of Mass","authors":"Charlotte Le Mouel","doi":"10.1101/2024.07.24.604923","DOIUrl":null,"url":null,"abstract":"The trajectory of the body center of mass (CoM) is critical for evaluating balance. The position of the CoM can be calculated using either kinematic or kinetic methods. Each of these methods has its limitations, and it is difficult to evaluate their accuracy as there is no ground truth to which the CoM trajectory can be compared. In this paper, we use as ground truth the fact that, during the flight phase of running, the acceleration of the CoM is equal to gravity. We evaluate the accuracy of kinematic models of different complexity and find that the error ranges from 14 % to 38 % of gravity. We propose a novel method for optimally combining kinematic and force plate information. When using this proposed method, the error drops to around 3 % for all kinematic models. The code for calculating this optimal combination is available in both Python and Matlab at: https://github.com/charlotte-lemouel/center_of_mass. The documentation is available at: https://center-of-mass.readthedocs.io","PeriodicalId":501210,"journal":{"name":"bioRxiv - Animal Behavior and Cognition","volume":"20 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"bioRxiv - Animal Behavior and Cognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.07.24.604923","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The trajectory of the body center of mass (CoM) is critical for evaluating balance. The position of the CoM can be calculated using either kinematic or kinetic methods. Each of these methods has its limitations, and it is difficult to evaluate their accuracy as there is no ground truth to which the CoM trajectory can be compared. In this paper, we use as ground truth the fact that, during the flight phase of running, the acceleration of the CoM is equal to gravity. We evaluate the accuracy of kinematic models of different complexity and find that the error ranges from 14 % to 38 % of gravity. We propose a novel method for optimally combining kinematic and force plate information. When using this proposed method, the error drops to around 3 % for all kinematic models. The code for calculating this optimal combination is available in both Python and Matlab at: https://github.com/charlotte-lemouel/center_of_mass. The documentation is available at: https://center-of-mass.readthedocs.io
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
优化合并运动学和动力学信息,确定整个身体的质心位置
身体质心(CoM)的轨迹对于评估平衡至关重要。质心位置可通过运动学或动力学方法计算得出。每种方法都有其局限性,而且很难评估其准确性,因为没有可与 CoM 轨迹进行比较的基本事实。在本文中,我们使用以下事实作为基本事实:在跑步的飞行阶段,CoM 的加速度等于重力。我们评估了不同复杂程度的运动学模型的准确性,发现误差范围从重力的 14% 到 38%。我们提出了一种优化组合运动学和力板信息的新方法。使用这种方法后,所有运动学模型的误差都降至 3 % 左右。计算这种优化组合的代码有 Python 和 Matlab 两种版本:https://github.com/charlotte-lemouel/center_of_mass。文档可在以下网址获取: https://center-of-mass.readthedocs.io
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Emotional contexts influence vocal individuality in ungulates Athene cunicularia hypugaea wintering in a central California urban setting arrive later, leave earlier, prefer sheltered micro-habitat, tolerate rain, and contend with diverse predators Monkeys Predict US Elections Meat transfers follow social ties in the multi-level society of Guinea baboons but are not related to male reproductive success Jumping spiders are not fooled by the peripheral drift illusion
×
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