Verifying IMU Suitability for Recognition of Freshwater Mussel Behaviors

William Jackson, Alan Marchiori, Stewart J. Thomas, Elizabeth Capaldi, S. Reese
{"title":"Verifying IMU Suitability for Recognition of Freshwater Mussel Behaviors","authors":"William Jackson, Alan Marchiori, Stewart J. Thomas, Elizabeth Capaldi, S. Reese","doi":"10.1109/INERTIAL56358.2023.10104026","DOIUrl":null,"url":null,"abstract":"Freshwater mussels are both an important and threatened part of our ecosystem. They are extremely efficient in cleaning natural water resources, yet surprisingly little is known about the behaviors of these animals, making threat mitigation difficult. As activity recognition based on the use of accelerometers is known to be effective in humans and other animals, this work applies such methods to the study of freshwater mussels in order to aid further scientific study. In this paper, we present results from a laboratory experiment where three inertial measurement units (IMU) were attached to the shell of mussels for approximately 24 to 48 hours. Over this period, we observed several interesting behaviors and verified the sensor arrangement can differentiate active and inactive periods as well as quantify gape frequency, duration, and intensity. Our future work is to develop a complete mussel sensor network where multiple mussels can be monitored in situ for an extended period of time. By better understanding the behavior of these animals, we aim to develop new ways to quantify ecosystem health and more effective conservation strategies.","PeriodicalId":236326,"journal":{"name":"2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INERTIAL56358.2023.10104026","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

Freshwater mussels are both an important and threatened part of our ecosystem. They are extremely efficient in cleaning natural water resources, yet surprisingly little is known about the behaviors of these animals, making threat mitigation difficult. As activity recognition based on the use of accelerometers is known to be effective in humans and other animals, this work applies such methods to the study of freshwater mussels in order to aid further scientific study. In this paper, we present results from a laboratory experiment where three inertial measurement units (IMU) were attached to the shell of mussels for approximately 24 to 48 hours. Over this period, we observed several interesting behaviors and verified the sensor arrangement can differentiate active and inactive periods as well as quantify gape frequency, duration, and intensity. Our future work is to develop a complete mussel sensor network where multiple mussels can be monitored in situ for an extended period of time. By better understanding the behavior of these animals, we aim to develop new ways to quantify ecosystem health and more effective conservation strategies.
验证IMU对淡水贻贝行为识别的适用性
淡水贻贝既是我们生态系统的重要组成部分,也是受到威胁的一部分。它们在清洁自然水资源方面非常有效,但令人惊讶的是,人们对这些动物的行为知之甚少,这使得减轻威胁变得困难。基于使用加速度计的活动识别已知对人类和其他动物是有效的,这项工作将这种方法应用于淡水贻贝的研究,以帮助进一步的科学研究。在本文中,我们介绍了一个实验室实验的结果,其中三个惯性测量单元(IMU)附着在贻贝的外壳上大约24至48小时。在此期间,我们观察到一些有趣的行为,并验证了传感器的布置可以区分活动和非活动时段,并量化间隙频率、持续时间和强度。我们未来的工作是开发一个完整的贻贝传感器网络,在那里可以长时间地监测多个贻贝。通过更好地了解这些动物的行为,我们的目标是开发量化生态系统健康的新方法和更有效的保护策略。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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:604180095
Book学术官方微信