耦合加速度计数据同步记录仪的方法

Jose Ricardo Silva Scarpari, C. S. Deolindo, Maria Adelia Albano Aratanha, M. W. Ribeiro, Anderson de Souza, E. Kozasa, Daisy Hirata, J. E. Matieli, R. G. Annes da Silva, C. Forster
{"title":"耦合加速度计数据同步记录仪的方法","authors":"Jose Ricardo Silva Scarpari, C. S. Deolindo, Maria Adelia Albano Aratanha, M. W. Ribeiro, Anderson de Souza, E. Kozasa, Daisy Hirata, J. E. Matieli, R. G. Annes da Silva, C. Forster","doi":"10.1109/INERTIAL51137.2021.9430459","DOIUrl":null,"url":null,"abstract":"This paper presents a method to synchronize data acquisition devices that are mechanically coupled, having attached an accelerometer to each device. A common time base for the accelerometer signals are obtained through the identification of pairing salient peaks and applying line-fitting through the potential matches. Aligning data recorded from different sources is important to precisely provide an observation of the state of a system in time (sensor fusion), to estimate the correlation between its variables and to correlate variables to time-based events. A data link between devices is not always possible or convenient. If the acquisition devices are mechanically coupled, such as being in the same body or vehicle, we propose to synchronize the data recorded from both by using the accelerometers signals to bridge. The provided solution is an automated process to find the temporal reference between accelerometer signals. Several signal processing steps are taken after data collection and storage: inconsistency removal and filtering, detection of maxima and minima, selection of saliencies, description through a characteristic pair of numbers: the interval lengths between it and its successor and its predecessor, listing possible matches between salient points, selection of the topmost relevant matches and line fitting with consensus. We discuss qualitative similarities of related work. Quantitative results are also presented by using the multidisciplinary study that motivated this work, with simultaneous data from the instrumentation of a helicopter and pilot physiological data. To conclude, we discuss the limitations of the presented approach and future work.","PeriodicalId":424028,"journal":{"name":"2021 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)","volume":"253 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Method for the Synchronization of Data Recorders by Coupling Accelerometer Data\",\"authors\":\"Jose Ricardo Silva Scarpari, C. S. Deolindo, Maria Adelia Albano Aratanha, M. W. Ribeiro, Anderson de Souza, E. Kozasa, Daisy Hirata, J. E. Matieli, R. G. Annes da Silva, C. Forster\",\"doi\":\"10.1109/INERTIAL51137.2021.9430459\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a method to synchronize data acquisition devices that are mechanically coupled, having attached an accelerometer to each device. A common time base for the accelerometer signals are obtained through the identification of pairing salient peaks and applying line-fitting through the potential matches. Aligning data recorded from different sources is important to precisely provide an observation of the state of a system in time (sensor fusion), to estimate the correlation between its variables and to correlate variables to time-based events. A data link between devices is not always possible or convenient. If the acquisition devices are mechanically coupled, such as being in the same body or vehicle, we propose to synchronize the data recorded from both by using the accelerometers signals to bridge. The provided solution is an automated process to find the temporal reference between accelerometer signals. Several signal processing steps are taken after data collection and storage: inconsistency removal and filtering, detection of maxima and minima, selection of saliencies, description through a characteristic pair of numbers: the interval lengths between it and its successor and its predecessor, listing possible matches between salient points, selection of the topmost relevant matches and line fitting with consensus. We discuss qualitative similarities of related work. Quantitative results are also presented by using the multidisciplinary study that motivated this work, with simultaneous data from the instrumentation of a helicopter and pilot physiological data. To conclude, we discuss the limitations of the presented approach and future work.\",\"PeriodicalId\":424028,\"journal\":{\"name\":\"2021 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)\",\"volume\":\"253 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INERTIAL51137.2021.9430459\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INERTIAL51137.2021.9430459","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文提出了一种同步数据采集设备的方法,这些设备是机械耦合的,在每个设备上附加一个加速度计。通过识别配对显著峰,并通过潜在匹配进行线拟合,得到加速度计信号的共同时间基。调整来自不同来源的记录数据对于准确地提供对系统状态的实时观察(传感器融合),估计其变量之间的相关性以及将变量与基于时间的事件关联起来非常重要。设备之间的数据链接并不总是可行或方便的。如果采集设备是机械耦合的,例如在同一身体或车辆中,我们建议通过使用加速度计信号进行桥接来同步从两者记录的数据。提供的解决方案是一个自动化的过程,以找到加速度计信号之间的时间参考。在数据收集和存储之后,采取了几个信号处理步骤:不一致的去除和过滤,最大值和最小值的检测,显著性的选择,通过特征数对的描述:它与其后继点和前代点之间的间隔长度,列出显著点之间可能的匹配,选择最相关的匹配和一致性的线拟合。我们讨论了相关工作的质的相似性。定量结果也通过使用多学科研究提出,该研究激励了这项工作,同时数据来自直升机仪器和飞行员的生理数据。最后,我们讨论了所提出方法的局限性和未来的工作。
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
Method for the Synchronization of Data Recorders by Coupling Accelerometer Data
This paper presents a method to synchronize data acquisition devices that are mechanically coupled, having attached an accelerometer to each device. A common time base for the accelerometer signals are obtained through the identification of pairing salient peaks and applying line-fitting through the potential matches. Aligning data recorded from different sources is important to precisely provide an observation of the state of a system in time (sensor fusion), to estimate the correlation between its variables and to correlate variables to time-based events. A data link between devices is not always possible or convenient. If the acquisition devices are mechanically coupled, such as being in the same body or vehicle, we propose to synchronize the data recorded from both by using the accelerometers signals to bridge. The provided solution is an automated process to find the temporal reference between accelerometer signals. Several signal processing steps are taken after data collection and storage: inconsistency removal and filtering, detection of maxima and minima, selection of saliencies, description through a characteristic pair of numbers: the interval lengths between it and its successor and its predecessor, listing possible matches between salient points, selection of the topmost relevant matches and line fitting with consensus. We discuss qualitative similarities of related work. Quantitative results are also presented by using the multidisciplinary study that motivated this work, with simultaneous data from the instrumentation of a helicopter and pilot physiological data. To conclude, we discuss the limitations of the presented approach and future work.
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
自引率
0.00%
发文量
0
期刊最新文献
A 10 NANO-G/RT-HZ RESONANT MEMS ACCELEROMETER EMPLOYING ANTI-ALIASING CONTROL Identification of Gain Mismatches in Control Electronics of Rate Integrating CVGs Megahertz Bandwidth Bulk Micromachined Optomechanical Accelerometer With Fiber Optical Interconnects Mode-Matched Multi-Ring Disk Resonator Using Single Crystal (100) Silicon 2021 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Proceedings
×
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