Abstract
RFID technology has proven to be an effective solution in many applications for monitoring demented patients. However, its wider acceptance is still limited by prohibitive deployment costs, technological limitations and privacy concerns. In this paper, an RFID-based indoor tracking system was analyzed regarding an additional barrier of RFID’s acceptance which is an issue of choosing an appropriate strategy for tagging patients. This includes making the trade-off between technological constraints, healthcare staff’s routines and the fact that patients with dementia may tend to remove foreign objects.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Administration of Aging, http://www.aoa.gov (cited December 10, 2010 )
Dalal, N., Triggs, B.: Histograms of Oriented Gradients for Human Detection. In: International Conference on Computer Vision & Pattern Recognition, vol. 2, pp. 886–893 (2005)
Wu, J., Osuuntogun, A., Choudhury, T., Philipose, M., Rehg, J.M.: A Scalable Approach to Activity Recognition based on Object Use. In: IEEE 11th International Conference on Computer Vision, ICCV 2008 (2007)
iHygiene Press Release, http://www.woodwardlabs.com/pdfs/iHygiene_Press_Release.pdf (cited December 10, 2010 )
Ho, L., Moh, M., Walker, Z., Hamada, T., Su, C.-F.: A Prototype on RFID and Sensor Networks for Elder Healthcare: Progress Report. In: SIGCOMM 2005 Workshops (2005)
Matic, A., Mehta, P., Rehg, J.M., Osmani, V., Mayora, O.: AID-ME: Automatic Identification of Dressing failures through Monitoring of patients and activity Evaluation. In: 4th International Conference on Pervasive Computing Technologies for Healthcare 2010 (Pervasive Health 2010) (2010)
Philipose, M., Fishkin, K., Perkowitz, M., Petterson, D., Fox, D., Kautz, H., Hahnel, D.: Inferring Activities form Interactions with Objects. Context Aware Computing (2004)
Kaye, J.: Home based technologies: A new paradigm for conducting dementia prevention trials. In: NIA - Layton Aging & Alzheimer’s Disease Center and ORCATECH, the Oregon Center for Aging & Technology. Oregon Health & Science University, Portland (2008)
RFID Journal, http://www.rfidjournal.com/article/articleview/4542/1/1 (cited December 14, 2010)
Yao, W., Chu, C.-H., Li, Z.: The Use of RFID in Healthcare: Benefits and Barriers. In: IEEE International Conference on RFID-Technology and Applications, RFID-TA (2010)
Benbow, W.: Best Practice Design Guidelines for Complex Care Facility (Nursing Home), http://wabenbow.com/?page_id=16 (cited December 15, 2010)
Ashar, B.S., Ferriter, A.: Radiofrequency Identification Technology in Health Care: Benefits and Potential Risks. The Journal of American Medical Association (JAMA) 298, 2305–2307 (2007)
FEIG Electronic, http://www.feig.de/index.php?option=com_content&task=view&id=5&Itemid=59 (cited December 15, 2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Matic, A., Osmani, V., Mayora, O. (2011). RFID-Based System for Tracking People: Approaches to Tagging Demented Patients. In: Gabrielli, S., Elias, D., Kahol, K. (eds) Ambient Media and Systems. AMBI-SYS 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 70. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23902-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-23902-1_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23901-4
Online ISBN: 978-3-642-23902-1
eBook Packages: Computer ScienceComputer Science (R0)