Wearable Sensing for Dynamic Management of Dense Ubiquitous Media

M. Laibowitz, Nan-Wei Gong, J. Paradiso
{"title":"Wearable Sensing for Dynamic Management of Dense Ubiquitous Media","authors":"M. Laibowitz, Nan-Wei Gong, J. Paradiso","doi":"10.1109/BSN.2009.59","DOIUrl":null,"url":null,"abstract":"Most visions of ubiquitous computing anticipate a world permeated by a dense sampling of sensors, many of which will be capable of capturing, analyzing, and transmitting personally relevant and potentially privacy-sensitive media, such as video, audio, and identification information. This paper describes a set of sensor platforms that we have designed to experiment with personalization, interaction, and control in such dense media capture environments.","PeriodicalId":269861,"journal":{"name":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","volume":"347 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BSN.2009.59","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

Abstract

Most visions of ubiquitous computing anticipate a world permeated by a dense sampling of sensors, many of which will be capable of capturing, analyzing, and transmitting personally relevant and potentially privacy-sensitive media, such as video, audio, and identification information. This paper describes a set of sensor platforms that we have designed to experiment with personalization, interaction, and control in such dense media capture environments.
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
面向密集泛在媒体动态管理的可穿戴传感技术
大多数关于无处不在的计算的设想都预测了一个充斥着密集采样传感器的世界,其中许多传感器将能够捕获、分析和传输与个人相关的、潜在的隐私敏感媒体,如视频、音频和识别信息。本文描述了我们设计的一组传感器平台,用于在这种密集的媒体捕获环境中进行个性化、交互和控制实验。
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
A h-Shirt-Based Body Sensor Network for Cuffless Calibration and Estimation of Arterial Blood Pressure Key Considerations and Experience Using the Ultra Low Power Sensium Platform in Body Sensor Networks Technologies for an Autonomous Wireless Home Healthcare System Transitional Activity Recognition with Manifold Embedding Wireless Propagation and Coexistence of Medical Body Sensor Networks for Ambulatory Patient Monitoring
×
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