环境感知无线传感器系统集成参与式传感实时道路事故检测

M. Ramesh, P. Vidya, P. Pradeep
{"title":"环境感知无线传感器系统集成参与式传感实时道路事故检测","authors":"M. Ramesh, P. Vidya, P. Pradeep","doi":"10.1109/WOCN.2013.6616203","DOIUrl":null,"url":null,"abstract":"According to World Health Organization, worldwide, every year, more than 12 million people are killed in accidents and more than 500 million people are injured. In this research work, we have designed a context aware wireless sensor system to detect and locate road accidents in real-time. Context acquisition is performed using onboard sensors such as accelerometer, gyroscope, flex sensor and sensors from Smartphone such as accelerometer, microphone, GPS etc. A learning algorithm is proposed to perform context modeling, inference, and context-based action initiation. Participatory sensing techniques are integrated with the proposed system to ensure system enhancement and reduce false alarms.","PeriodicalId":388309,"journal":{"name":"2013 Tenth International Conference on Wireless and Optical Communications Networks (WOCN)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Context aware wireless sensor system integrated with participatory sensing for real time road accident detection\",\"authors\":\"M. Ramesh, P. Vidya, P. Pradeep\",\"doi\":\"10.1109/WOCN.2013.6616203\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"According to World Health Organization, worldwide, every year, more than 12 million people are killed in accidents and more than 500 million people are injured. In this research work, we have designed a context aware wireless sensor system to detect and locate road accidents in real-time. Context acquisition is performed using onboard sensors such as accelerometer, gyroscope, flex sensor and sensors from Smartphone such as accelerometer, microphone, GPS etc. A learning algorithm is proposed to perform context modeling, inference, and context-based action initiation. Participatory sensing techniques are integrated with the proposed system to ensure system enhancement and reduce false alarms.\",\"PeriodicalId\":388309,\"journal\":{\"name\":\"2013 Tenth International Conference on Wireless and Optical Communications Networks (WOCN)\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Tenth International Conference on Wireless and Optical Communications Networks (WOCN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WOCN.2013.6616203\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Tenth International Conference on Wireless and Optical Communications Networks (WOCN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOCN.2013.6616203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

摘要

根据世界卫生组织的统计,全世界每年有1 200多万人死于事故,5亿多人受伤。在本研究工作中,我们设计了一个环境感知无线传感器系统,用于实时检测和定位道路交通事故。背景采集使用板载传感器,如加速度计,陀螺仪,弯曲传感器和智能手机传感器,如加速度计,麦克风,GPS等。提出了一种学习算法来执行上下文建模、推理和基于上下文的动作发起。参与式传感技术与所提出的系统相结合,以确保系统增强和减少误报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Context aware wireless sensor system integrated with participatory sensing for real time road accident detection
According to World Health Organization, worldwide, every year, more than 12 million people are killed in accidents and more than 500 million people are injured. In this research work, we have designed a context aware wireless sensor system to detect and locate road accidents in real-time. Context acquisition is performed using onboard sensors such as accelerometer, gyroscope, flex sensor and sensors from Smartphone such as accelerometer, microphone, GPS etc. A learning algorithm is proposed to perform context modeling, inference, and context-based action initiation. Participatory sensing techniques are integrated with the proposed system to ensure system enhancement and reduce false alarms.
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
×
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