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Accurate RFID Trilateration to Learn and Recognize Spatial Activities in Smart Environment
المؤلفون المشاركون
Bouchard, Bruno
Gaboury, Sebastien
Bouzouane, Abdenour
Fortin-Simard, Dany
Bouchard, Kevin
المصدر
International Journal of Distributed Sensor Networks
العدد
المجلد 2013، العدد - (31 ديسمبر/كانون الأول 2013)، ص ص. 1-16، 16ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-06-18
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
هندسة الاتصالات
تكنولوجيا المعلومات وعلم الحاسوب
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-509601
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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