Augmenting Context Awareness by Combining Body Sensor Networks and Social Networks

被引:20
作者
Rahman, Md Abdur [1 ]
El Saddik, Abdulmotaleb [1 ]
Gueaieb, Wail [2 ]
机构
[1] Univ Ottawa, Sch Informat Technol & Engn, Multimedia Commun Res Lab, Ottawa, ON K1N 6N5, Canada
[2] Univ Ottawa, Sch Informat Technol & Engn, MIRAM Lab, Ottawa, ON K1N 6N5, Canada
关键词
Intelligent sensors; multisensory systems; social factors; telemetry;
D O I
10.1109/TIM.2010.2084190
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];
摘要
Due to recent advancements in social networks, many people can consume diversified services on a daily basis and have developed an association with different communities of interest (COIs) via these services. However, a person only accesses a subset of these services at a given time either to consume certain services or to share information with a COI. This paper tries to answer two important research questions: 1) "how to dynamically capture user context from heterogeneous sources" and 2) "which services and COI are related to any given context." To address these two challenges, we propose a framework called SenseFace, which provides user context from two sources: 1) a body sensor network (BSN) and 2) multimedia information contained the within social network space. We present the detailed design and implementation of the framework and share our preliminary test results.
引用
收藏
页码:345 / 353
页数:9
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