DocumentCode
1573132
Title
A human-centric and cooperative architecture for multiple target tracking in a smart home
Author
Lu, Ching-Hu ; Li-Chen Fu
Author_Institution
Nat. Taiwan Univ., Taipei, Taiwan
fYear
2009
Firstpage
407
Lastpage
412
Abstract
Every home has its own unique considerations for location-aware applications. This makes a flexible architecture very crucial for efficiently integrating various tracking devices for adapting to real human needs. We employ tracking sensors from two different categories, those with seamless sensors and those with seamful ones. This allows us to take human-centric needs into consideration and to facilitate cooperative interaction among sensors from the two categories. Such cooperative interaction aims to increase the accuracy of location estimates and to compensate for the limitations of each sensor via cooperative interactions, which allows us to track multiple targets simultaneously in a more reliable way. Moreover, the approach demonstrated in this paper can serve as a guideline to help users customize sensor arrangements to fulfill their requirements. Our experimental results, which comprise three tracking scenarios using a load sensory floor as the seamless sensor and RFIDs as seamful sensors, demonstrate the effectiveness of the architecture.
Keywords
cooperative systems; home computing; human factors; intelligent sensors; target tracking; RFID; cooperative architecture; human-centric architecture; load sensory floor; location-aware applications; multiple target tracking sensors; seamful sensors; seamless sensors; smart home; Cameras; Context-aware services; Guidelines; Humans; Intelligent sensors; Intrusion detection; Radiofrequency identification; Smart homes; Space technology; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing (JCPC), 2009 Joint Conferences on
Conference_Location
Tamsui, Taipei
Print_ISBN
978-1-4244-5227-9
Electronic_ISBN
978-1-4244-5228-6
Type
conf
DOI
10.1109/JCPC.2009.5420152
Filename
5420152
Link To Document