智能家居中物体的定性跟踪:一种基于决策树的被动RFID方法

Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments Pub Date : 2016-06-29 DOI:10.1145/2910674.2910700

Frédéric Bergéron, K. Bouchard, S. Giroux, S. Gaboury, B. Bouchard

{"title":"智能家居中物体的定性跟踪:一种基于决策树的被动RFID方法","authors":"Frédéric Bergéron, K. Bouchard, S. Giroux, S. Gaboury, B. Bouchard","doi":"10.1145/2910674.2910700","DOIUrl":null,"url":null,"abstract":"This paper presents a novel Indoor Tracking System (ITS) based on passive radio-frequency identification (RFID) technology. The new ITS exploits decision trees built from one dataset per room of a smart home. The datasets are built using a bottle equipped with four class 3 RFID tags and by dividing each room into qualitative zones. The paper discusses how to exploit positioning from decision trees to implement real-time tracking. The long term goal of this ITS is to extract qualitative spatial information to improve recognition of daily living activities' granularity. The results obtained are very encouraging as the average accuracy of the trajectories recognized is over 75%.","PeriodicalId":359504,"journal":{"name":"Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Qualitative Tracking of Objects in a Smart Home: A Passive RFID Approach Based on Decision Trees\",\"authors\":\"Frédéric Bergéron, K. Bouchard, S. Giroux, S. Gaboury, B. Bouchard\",\"doi\":\"10.1145/2910674.2910700\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a novel Indoor Tracking System (ITS) based on passive radio-frequency identification (RFID) technology. The new ITS exploits decision trees built from one dataset per room of a smart home. The datasets are built using a bottle equipped with four class 3 RFID tags and by dividing each room into qualitative zones. The paper discusses how to exploit positioning from decision trees to implement real-time tracking. The long term goal of this ITS is to extract qualitative spatial information to improve recognition of daily living activities' granularity. The results obtained are very encouraging as the average accuracy of the trajectories recognized is over 75%.\",\"PeriodicalId\":359504,\"journal\":{\"name\":\"Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2910674.2910700\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2910674.2910700","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 4

摘要

提出了一种基于无源射频识别(RFID)技术的室内跟踪系统。新的ITS利用智能家居每个房间的一个数据集构建的决策树。数据集是用一个装有四个3类RFID标签的瓶子建立的，并将每个房间划分为定性区域。本文讨论了如何利用决策树定位来实现实时跟踪。该智能交通系统的长期目标是提取定性的空间信息，以提高对日常生活活动粒度的识别。所获得的结果非常令人鼓舞，所识别的轨迹的平均精度超过75%。

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

Qualitative Tracking of Objects in a Smart Home: A Passive RFID Approach Based on Decision Trees

This paper presents a novel Indoor Tracking System (ITS) based on passive radio-frequency identification (RFID) technology. The new ITS exploits decision trees built from one dataset per room of a smart home. The datasets are built using a bottle equipped with four class 3 RFID tags and by dividing each room into qualitative zones. The paper discusses how to exploit positioning from decision trees to implement real-time tracking. The long term goal of this ITS is to extract qualitative spatial information to improve recognition of daily living activities' granularity. The results obtained are very encouraging as the average accuracy of the trajectories recognized is over 75%.

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

Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments

自引率

0.00%

发文量