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Accurate RFID Trilateration to Learn and Recognize Spatial Activities in Smart Environment
Joint Authors
Bouchard, Bruno
Gaboury, Sebastien
Bouzouane, Abdenour
Fortin-Simard, Dany
Bouchard, Kevin
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2013, Issue - (31 Dec. 2013), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-18
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
The rapid adoption of wireless communication and sensors technology has raised the awareness of many laboratories about the field of network embedded system.
Most researchers aim to exploit these advances to enable technological assistance of frail persons in smart homes.
However, to reach the full potential of applications using network embedded systems such as assistive smart home, scientists need to work toward the creation of support services.
In this paper, we present an accurate passive RFID localization technique, which can easily be implemented and deployed in various environments, coupled to a complete human activity recognition model.
The goal of this paper is to demonstrate, through concrete experiments, that support services can enable powerful solution to long-lived challenges of the network embedded system community.
Particularly, the model exploits qualitative spatial reasoning from RFID localization of objects in the smart home to learn and recognize the basic and instrumental activities of daily living of a resident.
Our system was deployed in a real smart home, and the results obtained were quite encouraging.
The developed RFID technique gives an average precision of ±14.12 cm, and the recognition algorithm recognizes up to 92% activities.
American Psychological Association (APA)
Bouchard, Kevin& Fortin-Simard, Dany& Gaboury, Sebastien& Bouchard, Bruno& Bouzouane, Abdenour. 2013. Accurate RFID Trilateration to Learn and Recognize Spatial Activities in Smart Environment. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-16.
https://search.emarefa.net/detail/BIM-509601
Modern Language Association (MLA)
Bouchard, Kevin…[et al.]. Accurate RFID Trilateration to Learn and Recognize Spatial Activities in Smart Environment. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-509601
American Medical Association (AMA)
Bouchard, Kevin& Fortin-Simard, Dany& Gaboury, Sebastien& Bouchard, Bruno& Bouzouane, Abdenour. Accurate RFID Trilateration to Learn and Recognize Spatial Activities in Smart Environment. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-16.
https://search.emarefa.net/detail/BIM-509601
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509601