Identifying right and left impact using the derivative of linear resultant acceleration from a single sacrum-mounted IMU.

IF 3.4 Q2 ENGINEERING, BIOMEDICAL Wearable technologies Pub Date : 2025-02-28 eCollection Date: 2025-01-01 DOI:10.1017/wtc.2025.4
Aida Chebbi, Rachel M Robinson, Seth R Donahue, Michael E Hahn
{"title":"Identifying right and left impact using the derivative of linear resultant acceleration from a single sacrum-mounted IMU.","authors":"Aida Chebbi, Rachel M Robinson, Seth R Donahue, Michael E Hahn","doi":"10.1017/wtc.2025.4","DOIUrl":null,"url":null,"abstract":"<p><p>This study introduces a novel method for gait analysis using a single inertial measurement unit placed on the sacrum. This method is valid not only on level ground but also on incline and decline conditions. The method leverages the \"crackle\" function, the third derivative of the sacral resultant acceleration, to identify right and left gait events. This approach is particularly effective in capturing the initial peak in acceleration data during foot impact with the ground, often overlooked by other methods. The study aimed to demonstrate the method's accuracy in identifying the right- and left-side impacts during level ground, incline, and decline runs across a range of speeds. Additionally, the algorithm was applied in outdoor running scenarios, where it performed very well, further validating its robustness and reliability. The results are compared with other existing methods to highlight the effectiveness of this approach.</p>","PeriodicalId":75318,"journal":{"name":"Wearable technologies","volume":"6 ","pages":"e14"},"PeriodicalIF":3.4000,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11894424/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wearable technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/wtc.2025.4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0

Abstract

This study introduces a novel method for gait analysis using a single inertial measurement unit placed on the sacrum. This method is valid not only on level ground but also on incline and decline conditions. The method leverages the "crackle" function, the third derivative of the sacral resultant acceleration, to identify right and left gait events. This approach is particularly effective in capturing the initial peak in acceleration data during foot impact with the ground, often overlooked by other methods. The study aimed to demonstrate the method's accuracy in identifying the right- and left-side impacts during level ground, incline, and decline runs across a range of speeds. Additionally, the algorithm was applied in outdoor running scenarios, where it performed very well, further validating its robustness and reliability. The results are compared with other existing methods to highlight the effectiveness of this approach.

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
利用安装在骶骨上的单个 IMU 的线性结果加速度导数来识别左右撞击。
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
CiteScore
5.80
自引率
0.00%
发文量
0
审稿时长
11 weeks
期刊最新文献
Characterizing eye gaze and mental workload for assistive device control. Enhancing dexterity: Soft pneumatic actuation utilizing granular jamming for a human finger flexo-extension. Identifying right and left impact using the derivative of linear resultant acceleration from a single sacrum-mounted IMU. Force control of motion teaching suit using serial-connected pneumatic artificial muscles for actuation and estimation. Design and evaluation of AE4W: An active and flexible shaft-driven shoulder exoskeleton for workers.
×
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