加速度运动监测系统的特征提取

2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2014-05-15 DOI:10.1109/SACI.2014.6840070

Gergo Sántha, G. Hermann

{"title":"加速度运动监测系统的特征提取","authors":"Gergo Sántha, G. Hermann","doi":"10.1109/SACI.2014.6840070","DOIUrl":null,"url":null,"abstract":"In this paper, various feature extraction methods are described using a wireless activity monitoring system [2]. The 3-axis accelerometric data was received from a collar, which can be mounted on free-roaming animals. Statistical signal features (mean, standard deviation, correlation between axes), tilt angles, periodicity and spectral features were extracted to form feature vectors for further analysis.","PeriodicalId":163447,"journal":{"name":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Feature extraction from accelerometric activity monitoring system\",\"authors\":\"Gergo Sántha, G. Hermann\",\"doi\":\"10.1109/SACI.2014.6840070\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, various feature extraction methods are described using a wireless activity monitoring system [2]. The 3-axis accelerometric data was received from a collar, which can be mounted on free-roaming animals. Statistical signal features (mean, standard deviation, correlation between axes), tilt angles, periodicity and spectral features were extracted to form feature vectors for further analysis.\",\"PeriodicalId\":163447,\"journal\":{\"name\":\"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SACI.2014.6840070\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI.2014.6840070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

本文介绍了无线活动监测系统[2]的各种特征提取方法。三轴加速度测量数据从项圈接收，项圈可以安装在自由漫游的动物身上。提取信号的统计特征(均值、标准差、轴间相关性)、倾斜角、周期性和光谱特征，形成特征向量进行进一步分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Feature extraction from accelerometric activity monitoring system

In this paper, various feature extraction methods are described using a wireless activity monitoring system [2]. The 3-axis accelerometric data was received from a collar, which can be mounted on free-roaming animals. Statistical signal features (mean, standard deviation, correlation between axes), tilt angles, periodicity and spectral features were extracted to form feature vectors for further analysis.

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

2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)

自引率

0.00%

发文量