A Novel Sensor-Assisted RFID-Based Indoor Tracking System for the Elderly Living Alone

The population of elderly people is increasing rapidly in many developed nations. Providing safe and comfortable care to aging people is an important social goal. Moreover, obtaining correct activity and location information for an elderly person is an important research goal. This work proposes a novel intelligent RFID-based indoor tracking system for elderly people living alone. The proposed system uses environment information for inhabitants and received signal strength of an RFID reader to estimate the probable location of an inhabitant. The proposed system then coordinates with the wireless sensor node of a three-axis accelerometer and uses a genetic algorithm to compute the location of the inhabitant. The proposed system also uses context and gait information to improve inhabitant-tracking accuracy. Experiment results show that the accuracy of the proposed system is better than that of existing RFID-based systems.

[1]  Wei Jiang,et al.  A Tracking Algorithm in RFID Reader Network , 2006, 2006 Japan-China Joint Workshop on Frontier of Computer Science and Technology.

[2]  C.Y. Huang,et al.  A Middleware of DICOM and Web Service for Home-based Elder Healthcare Information System , 2007, 2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine.

[3]  Hakima Chaouchi,et al.  RFID-assisted indoor localization and the impact of interference on its performance , 2011, J. Netw. Comput. Appl..

[4]  Ana M. Bernardos,et al.  A fusion method based on bluetooth and WLAN technologies for indoor location , 2008, 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

[5]  Han-Pang Huang,et al.  Optimal layout and deployment for RFID systems , 2011, Adv. Eng. Informatics.

[6]  M. Alwan,et al.  A Smart and Passive Floor-Vibration Based Fall Detector for Elderly , 2006, 2006 2nd International Conference on Information & Communication Technologies.

[7]  N. Noury,et al.  Health Smart Home - Towards an assistant tool for automatic assessment of the dependence of elders , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[8]  Jitender S. Deogun,et al.  Localization and Tracking in Sensor Systems , 2006, IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC'06).

[9]  Chung Hsien Zah,et al.  Embedded sensor Scout flooring system by Interface Flor , 2008, 2008 IEEE International Conference on Technologies for Practical Robot Applications.

[10]  Tarik Taleb,et al.  Angelah: a framework for assisting elders at home , 2009, IEEE Journal on Selected Areas in Communications.

[11]  Lindsay Kleeman,et al.  Paired Measurement Localization: A Robust Approach for Wireless Localization , 2009, IEEE Transactions on Mobile Computing.

[12]  Ig-Jae Kim,et al.  Activity Recognition Using Wearable Sensors for Elder Care , 2008, 2008 Second International Conference on Future Generation Communication and Networking.

[13]  Nobuyoshi Komuro,et al.  Indoor Location Estimation Technique using UHF band RFID , 2008, 2008 International Conference on Information Networking.

[14]  Myong-Soon Park,et al.  An indoor localization mechanism using active RFID tag , 2006, IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC'06).

[15]  Xi Chen,et al.  Activity Analysis, Summarization, and Visualization for Indoor Human Activity Monitoring , 2008, IEEE Transactions on Circuits and Systems for Video Technology.

[16]  Abdelmoula Bekkali,et al.  RFID Indoor Positioning Based on Probabilistic RFID Map and Kalman Filtering , 2007, Third IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2007).

[17]  Yunhao Liu,et al.  ANDMARC: Indoor Location Sensing Using Active RFID , 2003, PerCom.

[18]  Sabu Emmanuel,et al.  Intelligent Video Surveillance for Monitoring Elderly in Home Environments , 2007, 2007 IEEE 9th Workshop on Multimedia Signal Processing.

[19]  Cesare Alippi,et al.  A statistical approach to localize passive RFIDs , 2006, 2006 IEEE International Symposium on Circuits and Systems.

[20]  Wann-Yun Shieh,et al.  Speedup the Multi-camera Video-Surveillance System for Elder Falling Detection , 2009, 2009 International Conference on Embedded Software and Systems.

[21]  N. Ashida,et al.  A method for supporting at-home fitness exercise guidance and at-home nursing care for the elders, video-based simple measurement system , 2008, HealthCom 2008 - 10th International Conference on e-health Networking, Applications and Services.

[22]  Fu Li-Chen,et al.  Inhabitants Tracking System in a Cluttered Home Environment Via Floor Load Sensors , 2008, IEEE Transactions on Automation Science and Engineering.

[23]  Chien-Chang Hsu,et al.  The design and implementation of an intelligent deployment system for RFID readers , 2011, Expert Syst. Appl..

[24]  Jaegeol Yim,et al.  Introducing a decision tree-based indoor positioning technique , 2008, Expert Syst. Appl..

[25]  Seon-Woo Lee,et al.  A remote behavioral monitoring system for elders living alone , 2007, 2007 International Conference on Control, Automation and Systems.

[26]  Gourab Sen Gupta,et al.  Sensors and Robotic Environment for Care of the Elderly , 2007, 2007 International Workshop on Robotic and Sensors Environments.

[27]  Jane Yung-jen Hsu,et al.  GETA sandals: a footstep location tracking system , 2007, Personal and Ubiquitous Computing.

[28]  Yunhao Liu,et al.  VIRE: Active RFID-based Localization Using Virtual Reference Elimination , 2007, 2007 International Conference on Parallel Processing (ICPP 2007).

[29]  Álvaro Marco,et al.  Location-based services for elderly and disabled people , 2008, Comput. Commun..

[30]  Sung-Tsun Shih,et al.  An Improvement Approach of Indoor Location Sensing Using Active RFID , 2006, First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06).

[31]  Qi Hao,et al.  Congestion-aware, loss-resilient bio-monitoring sensor networking for mobile health applications , 2009, IEEE Journal on Selected Areas in Communications.

[32]  Seán F. McLoone,et al.  Single access point location tracking for in-home health monitoring , 2008, 2008 5th Workshop on Positioning, Navigation and Communication.

[33]  Ilias Maglogiannis,et al.  Advanced patient or elder fall detection based on movement and sound data , 2008, 2008 Second International Conference on Pervasive Computing Technologies for Healthcare.

[34]  José A. Gallud,et al.  Improving location awareness in indoor spaces using RFID technology , 2010, Expert Syst. Appl..

[35]  Li-Chen Fu,et al.  Inhabitants Tracking System in a Cluttered Home Environment Via Floor Load Sensors , 2008, IEEE Trans Autom. Sci. Eng..

[36]  Chia-Chi Wang,et al.  Development of a Fall Detecting System for the Elderly Residents , 2008, 2008 2nd International Conference on Bioinformatics and Biomedical Engineering.

[37]  H. Jimison,et al.  Monitoring Computer Interactions to Detect Early Cognitive Impairment in Elders , 2006, 1st Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare, 2006. D2H2..

[38]  Yunhao Liu,et al.  LANDMARC: Indoor Location Sensing Using Active RFID , 2004, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)..

[39]  Jaegeol Yim,et al.  Improvement of Kalman filters for WLAN based indoor tracking , 2010, Expert Syst. Appl..

[40]  Li-Chen Fu,et al.  Human Localization via Multi-Cameras and Floor Sensors in Smart Home , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.