基于变速度支持向量机阈值的坠落决策算法

2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia) Pub Date : 2019-06-01 DOI:10.1109/icce-asia46551.2019.8942188

Yongwoon Hwang, Woosung Choi, Huicheol An, Chung-Ghiu Lee

{"title":"基于变速度支持向量机阈值的坠落决策算法","authors":"Yongwoon Hwang, Woosung Choi, Huicheol An, Chung-Ghiu Lee","doi":"10.1109/icce-asia46551.2019.8942188","DOIUrl":null,"url":null,"abstract":"In this paper, we focus on fall decision algorithm using a microcontroller module. We measure multiple sensor data and calculate signal vector magnitude (SVM) of acceleration, angular velocity, and angular variation to decide whether the falling accident occurs or not. We suggest a changeable velocity SVM threshold-based algorithm to implement an algorithm for detecting/deciding fall accidents.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fall decision algorithm based on changeable velocity SVM threshold\",\"authors\":\"Yongwoon Hwang, Woosung Choi, Huicheol An, Chung-Ghiu Lee\",\"doi\":\"10.1109/icce-asia46551.2019.8942188\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we focus on fall decision algorithm using a microcontroller module. We measure multiple sensor data and calculate signal vector magnitude (SVM) of acceleration, angular velocity, and angular variation to decide whether the falling accident occurs or not. We suggest a changeable velocity SVM threshold-based algorithm to implement an algorithm for detecting/deciding fall accidents.\",\"PeriodicalId\":117814,\"journal\":{\"name\":\"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icce-asia46551.2019.8942188\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icce-asia46551.2019.8942188","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

在本文中，我们重点研究了使用微控制器模块的秋季决策算法。我们测量多个传感器的数据，计算加速度、角速度和角度变化的信号矢量幅值(SVM)来判断是否发生坠落事故。我们提出了一种基于可变速度SVM阈值的算法来实现一种检测/判定坠落事故的算法。

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

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Fall decision algorithm based on changeable velocity SVM threshold

In this paper, we focus on fall decision algorithm using a microcontroller module. We measure multiple sensor data and calculate signal vector magnitude (SVM) of acceleration, angular velocity, and angular variation to decide whether the falling accident occurs or not. We suggest a changeable velocity SVM threshold-based algorithm to implement an algorithm for detecting/deciding fall accidents.

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

2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)

自引率

0.00%

发文量