Accurate passive RFID localization system for smart homes

2012 ◽  
Author(s):  
Dany Fortin-Simard ◽  
Kevin Bouchard ◽  
Sebastien Gaboury ◽  
Bruno Bouchard ◽  
Abdenour Bouzouane
Keyword(s):  
Smart Homes ◽  
Localization System ◽  
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

Accurate Trilateration for Passive RFID Localization in Smart Homes

2013 ◽  
Vol 21 (1) ◽  
pp. 32-47 ◽  
Author(s):  
Kevin Bouchard ◽  
Dany Fortin-Simard ◽  
Sebastien Gaboury ◽  
Bruno Bouchard ◽  
Abdenour Bouzouane
Keyword(s):  
Smart Homes ◽  
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.

Indoor Positioning System for Smart Homes Based on Decision Trees and Passive RFID

2016 ◽  
pp. 42-53 ◽  
Author(s):  
Frédéric Bergeron ◽  
Kevin Bouchard ◽  
Sébastien Gaboury ◽  
Sylvain Giroux ◽  
Bruno Bouchard
Keyword(s):  
Decision Trees ◽  
Smart Homes ◽  
Indoor Positioning ◽  
Positioning System ◽  
Passive Rfid ◽  
Indoor Positioning System

Auto-localization system for indoor mobile robot using RFID fusion

Robotica ◽  
2014 ◽  
Vol 33 (9) ◽  
pp. 1899-1908 ◽  
Author(s):  
A. Abdelgawad
Keyword(s):  
Mobile Robot ◽  
Radio Frequency Identification ◽  
Accurate Estimation ◽  
Localization System ◽  
Accurate Localization ◽  
Indoor Mobile Robot ◽  
Current Location ◽  
Frequency Identification ◽  
Passive Rfid ◽  
Estimated Error

SUMMARYAutonomous mobile robots need accurate localization techniques to perform assigned task. Radio Frequency Identification Technology (RFID) has become one of the main means to construct a real-time localization system. Localization techniques in RFID rely on accurate estimation of the read range between the reader and the tags. This paper proposes an auto-localization system for indoor mobile robot using passive RFID. The proposed system reads any three different RFID tags which have a known location. The current location can be estimated using the Time Difference of Arrival (TDOA) scheme. In order to improve the system accuracy, the proposed system fuses the TDOA scheme for the three tags. A Kalman filter is used to minimize the estimated error and predict the next location. The simulation results validate the proposed framework.

Assistance in smart homes: Combining passive RFID localization and load signatures of electrical devices

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

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
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