Cognitive sensing for distributed behavioral biometrics

Qi Hao
{"title":"Cognitive sensing for distributed behavioral biometrics","authors":"Qi Hao","doi":"10.1109/COGSIMA.2013.6523829","DOIUrl":null,"url":null,"abstract":"This paper presents a cognitive sensing framework that enables tracking and identification of individuals' behavioral biometrics through thermal, pressure, photonic, acoustic, and laser sensors. Besides low cost, those sensors can produce sparse behavioral biometric data that can be analyzed quickly. To achieve this goal, we will develop: (1) a set of cognitive capabilities for sensing systems, such as spatial, data, context, and group awareness; (2) a multi-agent architecture for system operation and adaptation that enables heterogeneous sensors to achieve consensus in behavior analysis; and (3) a set of tools for situation understanding, cross-layer adaptation, and behavior based collaboration. The developed computing infrastructure will enable research activities about behavioral biometrics based on low-cost, low-power, distributed platforms with a variety of sensing modalities. The developed cognitive sensing intelligence has great potentials to cope with the technical challenges in behavioral biometrics caused by long distances and crowded scenes.","PeriodicalId":243766,"journal":{"name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COGSIMA.2013.6523829","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

This paper presents a cognitive sensing framework that enables tracking and identification of individuals' behavioral biometrics through thermal, pressure, photonic, acoustic, and laser sensors. Besides low cost, those sensors can produce sparse behavioral biometric data that can be analyzed quickly. To achieve this goal, we will develop: (1) a set of cognitive capabilities for sensing systems, such as spatial, data, context, and group awareness; (2) a multi-agent architecture for system operation and adaptation that enables heterogeneous sensors to achieve consensus in behavior analysis; and (3) a set of tools for situation understanding, cross-layer adaptation, and behavior based collaboration. The developed computing infrastructure will enable research activities about behavioral biometrics based on low-cost, low-power, distributed platforms with a variety of sensing modalities. The developed cognitive sensing intelligence has great potentials to cope with the technical challenges in behavioral biometrics caused by long distances and crowded scenes.
分布式行为生物识别的认知感知
本文提出了一种认知传感框架,可以通过热、压力、光子、声学和激光传感器跟踪和识别个体的行为生物特征。除了低成本之外,这些传感器可以产生稀疏的行为生物特征数据,可以快速分析。为了实现这一目标,我们将开发:(1)一套感知系统的认知能力,如空间、数据、上下文和群体意识;(2)用于系统操作和自适应的多智能体架构,使异构传感器在行为分析中达成共识;(3)一套用于情境理解、跨层适应和基于行为的协作的工具。开发的计算基础设施将使基于低成本、低功耗、具有各种传感模式的分布式平台的行为生物识别研究活动成为可能。发达的认知感知智能在应对远距离和拥挤场景下的行为生物识别技术挑战方面具有很大的潜力。
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 求助全文
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