Exploiting Passive RFID Technology for Activity Recognition in Smart Homes

2015 ◽  
Vol 30 (4) ◽  
pp. 7-15 ◽  
Author(s):  
Dany Fortin-Simard ◽  
Jean-Sebastien Bilodeau ◽  
Kevin Bouchard ◽  
Sebastien Gaboury ◽  
Bruno Bouchard ◽  
...  
Keyword(s):  
Activity Recognition ◽  
Smart Homes ◽  
Rfid Technology ◽  
Passive Rfid

Human activity recognition in smart homes based on passive RFID localization

2014 ◽  
Author(s):  
Kevin Bouchard ◽  
Jean-Sébastien Bilodeau ◽  
Dany Fortin-Simard ◽  
Sebastien Gaboury ◽  
Bruno Bouchard ◽  
...  
Keyword(s):  
Activity Recognition ◽  
Human Activity ◽  
Smart Homes ◽  
Human Activity Recognition ◽  
Passive Rfid

scholarly journals A Novel Human Activity Recognition and Prediction in Smart Home Based on Interaction

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4474 ◽  
Author(s):  
Du ◽  
Lim ◽  
Tan
Keyword(s):  
Activity Recognition ◽  
Human Activity ◽  
Power Saving ◽  
Smart Homes ◽  
The Elderly ◽  
Human Mind ◽  
Human Activity Recognition ◽  
Experimental Result ◽  
Home Based ◽  
Passive Rfid

Smart Homes are generally considered the final solution for living problem, especially for the health care of the elderly and disabled, power saving, etc. Human activity recognition in smart homes is the key to achieving home automation, which enables the smart services to automatically run according to the human mind. Recent research has made a lot of progress in this field; however, most of them can only recognize default activities, which is probably not needed by smart homes services. In addition, low scalability makes such research infeasible to be used outside the laboratory. In this study, we unwrap this issue and propose a novel framework to not only recognize human activity but also predict it. The framework contains three stages: recognition after the activity, recognition in progress, and activity prediction in advance. Furthermore, using passive RFID tags, the hardware cost of our framework is sufficiently low to popularize the framework. In addition, the experimental result demonstrates that our framework can realize good performance in both activity recognition and prediction with high scalability.

Human activity recognition in smart homes: Combining passive RFID and load signatures of electrical devices

2014 ◽  
Author(s):  
Dany Fortin-Simard ◽  
Jean-Sebastien Bilodeau ◽  
Sebastien Gaboury ◽  
Bruno Bouchard ◽  
Abdenour Bouzouane
Keyword(s):  
Activity Recognition ◽  
Human Activity ◽  
Smart Homes ◽  
Human Activity Recognition ◽  
Electrical Devices ◽  
Passive Rfid

A Multi-Sensing-Range Method for Efficient Position Estimation by Passive RFID Technology

2009 ◽  
Vol E92-A (10) ◽  
pp. 2609-2617 ◽  
Author(s):  
Toshihiro HORI ◽  
Tomotaka WADA ◽  
Norie UCHITOMI ◽  
Kouichi MUTSUURA ◽  
Hiromi OKADA
Keyword(s):  
Position Estimation ◽  
Rfid Technology ◽  
Sensing Range ◽  
Passive Rfid

A distributable event-oriented architecture for activity recognition in smart homes

2021 ◽  
Author(s):  
Cédric Demongivert ◽  
Kévin Bouchard ◽  
Sébastien Gaboury ◽  
Bruno Bouchard ◽  
Maxime Lussier ◽  
...  
Keyword(s):  
Activity Recognition ◽  
Smart Homes

scholarly journals Active learning with uncertainty sampling for large scale activity recognition in smart homes

2017 ◽  
Vol 9 (2) ◽  
pp. 209-223 ◽  
Author(s):  
Hande Alemdar ◽  
T.L.M. van Kasteren ◽  
Cem Ersoy
Keyword(s):  
Active Learning ◽  
Activity Recognition ◽  
Large Scale ◽  
Smart Homes ◽  
Uncertainty Sampling

scholarly journals From Activity Recognition to Intention Recognition for Assisted Living Within Smart Homes

2017 ◽  
Vol 47 (3) ◽  
pp. 368-379 ◽  
Author(s):  
Joseph Rafferty ◽  
Chris D. Nugent ◽  
Jun Liu ◽  
Liming Chen
Keyword(s):  
Activity Recognition ◽  
Assisted Living ◽  
Smart Homes ◽  
Intention Recognition

Monitoring object motion using passive RFID technology

2010 ◽  
Author(s):  
Zang Li ◽  
Chao-Hsien Chu ◽  
Xiaodan Wu
Keyword(s):  
Object Motion ◽  
Rfid Technology ◽  
Passive Rfid
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