Theodor: A Step Towards Smart Home Applications with Electronic Noses

C. Dang, A. Seiderer, E. André
{"title":"Theodor: A Step Towards Smart Home Applications with Electronic Noses","authors":"C. Dang, A. Seiderer, E. André","doi":"10.1145/3266157.3266215","DOIUrl":null,"url":null,"abstract":"This paper presents preliminary results of the ongoing project TheOdor which explores the potential of electronic noses that make use of commodity gas sensors (MOS, MEMS) for applications in the smarthome, for example, to classify human activities based on the odors generated by activities. We describe the system and its components and report on classification results from first validation experiments.","PeriodicalId":151070,"journal":{"name":"Proceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3266157.3266215","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

This paper presents preliminary results of the ongoing project TheOdor which explores the potential of electronic noses that make use of commodity gas sensors (MOS, MEMS) for applications in the smarthome, for example, to classify human activities based on the odors generated by activities. We describe the system and its components and report on classification results from first validation experiments.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Theodor:迈向电子鼻智能家居应用的一步
本文介绍了正在进行的TheOdor项目的初步结果,该项目探索了电子鼻的潜力,利用商品气体传感器(MOS, MEMS)在智能家居中的应用,例如,根据活动产生的气味对人类活动进行分类。我们描述了该系统及其组成部分,并报告了首次验证实验的分类结果。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Activity Recognition using Head Worn Inertial Sensors A Machine Learning Approach to Violin Bow Technique Classification: a Comparison Between IMU and MOCAP systems Using Wrist-Worn Activity Recognition for Basketball Game Analysis Towards a task-driven framework for multimodal fatigue analysis during physical and cognitive tasks Exploring Accelerometer-based Step Detection by using a Wheeled Walking Frame
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1