Elderly inhabitants have a strong influence to
healthcare facilities globally in the last few years as a result of the high
demand on the healthcare services and the gap between the services provided by
caregivers and the increasing number of older people. Radio Frequency
Identification (RFID) technologies have been increasingly adopted in smart
homes and used widely for indoor localisation. These technologies have been
benefiting to healthcare domain where they improve the quality of services
delivering by healthcare providers. This article presents a comprehensive
review on RFID systems and healthcare research works in smart homes. We also
compare RFID-based solutions in healthcare and distinguish challenges of smart
home technologies in indoor environment. We also discuss research challenges
related to Activity in Daily Living (ADL) in smart homes for wellbeing.
References
[1]
World Alzheimer Report 2015 (2015) The Global Impact of Dementia.
https://www.alz.co.uk/research/WorldAlzheimerReport2015.pdf
[2]
Alsinglawi, B., Liu, T., Nguyen, Q., Gunawardana, U., Maeder, A. and Simoff, S. (2016) Passive RFID Localisation Framework in Smart Homes Healthcare Settings. Studies in Health Technology and Informatics, 231, 1.
[3]
Kim, S.-C., Jeong, Y.-S. and Park, S.-O. (2013) RFID-Based Indoor Location Tracking to Ensure the Safety of the Elderly in Smart Home Environments. Personal and Ubiquitous Computing, 17, 1699-1707. https://doi.org/10.1007/s00779-012-0604-4
[4]
Wan, J., O’Grady, M.J. and O’Hare, G.M. (2015) Dynamic Sensor Event Segmentation for Real-Time Activity Recognition in a Smart Home Context. Personal and Ubiquitous Computing, 19, 287-301. https://doi.org/10.1007/s00779-014-0824-x
[5]
Bouchard, K., Bilodeau, J.-S., Fortin-Simard, D., Gaboury, S., Bouchard, B. and Bouzouane, A. (2014) Human Activity Recognition in Smart Homes Based on Passive RFID Localization. Proceedings of the 7th International Conference on Pervasive Technologies Related to Assistive Environments, Rhodes, Greece, 27-30 May 2014, Article No. 1. https://doi.org/10.1145/2674396.2674403
[6]
Alsinglawi, B., Elkhodr, M., Nguyen, Q.V., Gunawardana, U., Maeder, A. and Simoff, S. (2017) RFID Localisation for Internet of Things Smart Homes: A Survey. International Journal of Computer Networks & Communications (IJCNC).
https://arxiv.org/abs/1702.02311
[7]
Cislo, N. (2010) Undernutrition Prevention for Disabled and Elderly People in Smart Home with Bayesian Networks and RFID Sensors. In: Lee, Y., et al., Eds., Aging Friendly Technology for Health and Independence. ICOST 2010. Lecture Notes in Computer Science, Vol. 6159, Springer, Berlin, Heidelberg, 246-249.
https://doi.org/10.1007/978-3-642-13778-5_34
[8]
Postolache, G., Girao, P.S., Moura, C.M. and Postolache, O. (2011) Rehabilitative TeleHealthCare for Post-Stroke Outcome Assessment. Proceedings of the 5th International Conference on in Pervasive Computing Technologies for Healthcare, Dublin, 23-26 May 2011, 408-413.
[9]
Gu, H. and Wang, D. (2009) A Content-Aware Fridge Based on RFID in Smart Home for Home-Healthcare. 11th International Conference on Advanced Communication Technology, Phoenix Park, 15-18 February 2009, 987-990.
[10]
Zhang, D., Zhou, J., Guo, M., Cao, J. and Li, T. (2011) TASA: Tag-Free Activity Sensing Using RFID tag Arrays. IEEE Transactions on Parallel and Distributed Systems, 22, 558-570. https://doi.org/10.1109/TPDS.2010.118
[11]
Bouet, M. and Dos Santos, A.L. (2008) RFID Tags: Positioning Principles and Localization Techniques. 1st IFIP Wireless Days, Dubai, 24-27 November 2008, 1-5.
[12]
Harper, R. (2003) Inside the Smart Home. Springer Science & Business Media, Berlin, Heidelberg. http://www.springer.com/la/book/9781852336882
https://doi.org/10.1007/b97527
[13]
Garlan, D., Siewiorek, D.P., Smailagic, A. and Steenkiste, P. (2002) Project Aura: Toward Distraction-Free Pervasive Computing. IEEE Pervasive Computing, 1, 22-31. https://doi.org/10.1109/MPRV.2002.1012334
[14]
De Silva, L.C., Morikawa, C. and Petra, I.M. (2012) State of the Art of Smart Homes. Engineering Applications of Artificial Intelligence, 25, 1313-1321.
[15]
Aldrich, F.K. (2003) Smart Homes: Past, Present and Future. In: Harper, R., Ed., Inside the Smart Home, Springer, London, 17-39.
[16]
Noury, N., Virone, G., Barralon, P., Ye, J., Rialle, V. and Demongeot, J. (2003) New Trends in Health Smart Homes. Proceedings of the 5th International Workshop on Enterprise Networking and Computing in Healthcare Industry, 7 June 2003, 118-127. https://doi.org/10.1109/HEALTH.2003.1218728
[17]
Chan, M., Estève, D., Escriba, C. and Campo, E. (2008) A Review of Smart Homes— Present State and Future Challenges. Computer Methods and Programs in Biomedicine, 91, 55-81.
[18]
Vega-Barbas, M., Pau, I., Martín-Ruiz, M.L. and Seoane, F. (2015) Adaptive Software Architecture Based on Confident HCI for the Deployment of Sensitive Services in Smart Homes. Sensors, 15, 7294-7322. https://doi.org/10.3390/s150407294
https://www.ncbi.nlm.nih.gov/pubmed/25815449
[19]
Korhonen, I., Parkka, J. and Van Gils, M. (2003) Health Monitoring in the Home of the Future. IEEE Engineering in Medicine and Biology Magazine, 22, 66-73.
https://doi.org/10.1109/MEMB.2003.1213628
[20]
Rashidi, P. and Mihailidis, A. (2013) A Survey on Ambient-Assisted Living Tools for Older Adults. IEEE Journal of Biomedical and Health Informatics, 17, 579-590.
https://doi.org/10.1109/JBHI.2012.2234129
[21]
Rantz, M.J., Skubic, M., Koopman, R.J., Phillips, L., Alexander, G.L., Miller, S.J., et al. (2011) Using Sensor Networks to Detect Urinary Tract Infections in Older Adults. 13th IEEE International Conference on e-Health Networking Applications and Services, Columbia, MO, 13-15 June 2011, 142-149.
[22]
Rashidi, P. and Cook, D.J. (2009) Keeping the Resident in the Loop: Adapting the Smart Home to the User. IEEE Transactions on Systems, Man, and Cybernetics— Part A: Systems and Humans, 39, 949-959.
https://doi.org/10.1109/TSMCA.2009.2025137
[23]
Cook, D.J., Youngblood, M., Heierman III, E.O., Gopalratnam, K., Rao, S., Litvin, A., et al. (2003) MavHome: An Agent-Based Smart Home. Proceedings of the 1st IEEE International Conference on Pervasive Computing and Communications, Fort Worth, TX, 26 March 2003, 521-524.
[24]
Korhonen, I., Lappalainen, R., Tuomisto, T., Koobi, T., Pentikainen, V., Tuomisto, M., et al. (1998) TERVA: Wellness Monitoring System. Proceedings of the 20th Annual International Conference of the IEEE in Engineering in Medicine and Biology Society, 4, 1988-1991. https://doi.org/10.1109/iembs.1998.746993
[25]
Adlam, T., Faulkner, R., Orpwood, R., Jones, K., Macijauskiene, J. and Budraitiene, A. (2004) The Installation and Support of Internationally Distributed Equipment for People with Dementia. IEEE Transactions on Information Technology in Biomedicine, 8, 253-257. https://doi.org/10.1109/TITB.2004.834393
[26]
Barnes, N., Edwards, N., Rose, D. and Garner, P. (1998) Lifestyle Monitoring Technology for Supported Independence. Computing & Control Engineering Journal, 9, 169-174. https://doi.org/10.1049/cce:19980404
[27]
Yamazaki (2005) Ubiquitous Home: Real-Life Testbed for Home Context-Aware Service. 1st International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, 23-25 February 2005, 54-59.
https://doi.org/10.1109/TRIDNT.2005.37
[28]
Do, J.-H., Jang, H., Jung, S.H., Jung, J. and Bien, Z. (2005) Soft Remote Control System in the Intelligent Sweet Home. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2-6 August 2005, 3984-3989.
[29]
Yamaguchi, A., Ogawa, M., Tamura, T. and Togawa, T. (1998) Monitoring Behavior in the Home Using Positioning Sensors. Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 4, 1977-1979. https://doi.org/10.1109/iembs.1998.746990
[30]
Zhu, N., Diethe, T., Camplani, M., Tao, L., Burrows, A., Twomey, N., et al. (2015) Bridging e-Health and the Internet of Things: The SPHERE Project. IEEE Intelligent Systems, 30, 39-46. https://doi.org/10.1109/MIS.2015.57
[31]
University of Alberta (2015, 10/08/2005) Smart Condo Project
http://www.hserc.ualberta.ca/Resources/Spaces/SmartCondo.aspx
[32]
Chan, M., Campo, E. and Estève, D. (2005) Assessment of Activity of Elderly People Using a Home Monitoring System. International Journal of Rehabilitation Research, 28, 69-76. https://doi.org/10.1097/00004356-200503000-00010
[33]
Reiss, A. and Stricker, D. (2012) Introducing a New Benchmarked Dataset for Activity Monitoring. 16th International Symposium on Wearable Computers (ISWC), Newcastle, 18-22 June 2012, 108-109. https://doi.org/10.1109/iswc.2012.13
[34]
Ambient Assisted Living (2011).
http://www.aal-europe.eu
[35]
Celler, B., Earnshaw, W., Ilsar, E., Betbeder-Matibet, L., Harris, M., Clark, R., et al. (1995) Remote Monitoring of Health Status of the Elderly at Home. A Multidisciplinary Project on Aging at the University of New South Wales. International Journal of Bio-Medical Computing, 40, 147-155.
https://doi.org/10.1016/0020-7101(95)01139-6
[36]
Duong, T.V., Phung, D.Q., Bui, H.H. and Venkatesh, S. (2006) Human Behavior Recognition with Generic Exponential Family Duration Modeling in the Hidden Semi-Markov Model. 18th International Conference on Pattern Recognition, Hong Kong, 20-24 August 2006, 202-207. https://doi.org/10.1109/ICPR.2006.635
[37]
Lee, H. and Kwon, J. (2013) The Smart Home Service System Architecture for Healthy and Safe Human Life. ASTL, 25, 13-16.
http://onlinepresent.org/proceedings/vol25_2013/4.pdf
[38]
Helal, A., Cook, D.J. and Schmalz, M. (2009) Smart Home-Based Health Platform for Behavioral Monitoring and Alteration of Diabetes Patients. Journal of Diabetes Science and Technology, 3, 141-148. https://doi.org/10.1177/193229680900300115
[39]
Hu, L., Ong, D.M., Zhu, X., Liu, Q. and Song, E. (2015) Enabling RFID Technology for Healthcare: Application, Architecture, and Challenges. Telecommunication Systems, 58, 259-271. https://doi.org/10.1007/s11235-014-9871-x
[40]
Neuhaeuser, J., Gaensler, S., Kreutzer, J.F., Reimer, S.M., Lueth, T.C. and D’Angelo, L.T. (2016) Recording Proximity to Everyday Objects with a Radio Frequency Identification Logger while Performing Activities of Daily Living. 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO), Bali, 5-10 December 2014, 1856-1861. http://ieeexplore.ieee.org/document/7090606/
[41]
Hoque, E., Dickerson, R.F. and Stankovic, J.A. (2010) Monitoring Body Positions and Movements during Sleep Using Wisps. Wireless Health, San Diego, CA, 5-7 October 2010, 44-53. https://doi.org/10.1145/1921081.1921088
[42]
Zhou, M. and Ranasinghe, D.C. (2014) A Novel Approach for Addressing Wandering off Elderly Using Low Cost Passive RFID Tags. In: Stojmenovic, I., Cheng, Z. and Guo, S., Eds., Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol. 131, Springer, Cham, 330-343. https://doi.org/10.1007/978-3-319-11569-6_26
[43]
Qu, X., Simpson, L.T. and Stanfield, P. (2011) A Model for Quantifying the Value of RFID-Enabled Equipment Tracking in Hospitals. Advanced Engineering Informatics, 25, 23-31.
[44]
Parlak, S., Marsic, I. and Burd, R.S. (2011) Activity Recognition for Emergency Care Using RFID. Proceedings of the 6th International Conference on Body Area Networks, Beijing, 7-8 November 2011, 40-46.
[45]
MedicineNet (2012) Definition of ADLs (Activities of Daily Living).
http://www.medicinenet.com/script/main/art.asp?articlekey=2152
[46]
Crandall, A.S. (2011) Behaviometrics for Multiple Residents in a Smart Environment. https://research.libraries.wsu.edu/xmlui/handle/2376/2855
[47]
Wang, S. and Zhou, G. (2015) A Review on Radio Based Activity Recognition. Digital Communications and Networks, 1, 20-29.
[48]
Abbate, S., Avvenuti, M. and Light, J. (2014) Usability Study of a Wireless Monitoring System among Alzheimer’s Disease Elderly Population. International Journal of Telemedicine and Applications, 2014, Article ID: 617495.
https://doi.org/10.1155/2014/617495
[49]
Khan, A.M. (2011) Human Activity Recognition Using a Single Tri-Axial Accelerometer. Kyung Hee University Seoul, Korea.
[50]
Ke, S.-R., Thuc, H.L.U., Lee, Y.-J., Hwang, J.-N., Yoo, J.-H. and Choi, K.-H. (2013) A Review on Video-Based Human Activity Recognition. Computers, 2, 88-131.
https://doi.org/10.3390/computers2020088
[51]
Lei, J., Ren, X. and Fox, D. (2012) Fine-Grained Kitchen Activity Recognition Using RGB-D. Proceedings of the 2012 ACM Conference on Ubiquitous Computing, Pittsburgh, 5-8 September 2012, 208-211. https://doi.org/10.1145/2370216.2370248
[52]
Shotton, J., Sharp, T., Kipman, A., Fitzgibbon, A., Finocchio, M., Blake, A., et al. (2013) Real-Time Human Pose Recognition in Parts from Single Depth Images. Communications of the ACM, 56, 116-124.
https://doi.org/10.1145/2398356.2398381
[53]
Chernbumroong, S., Cang, S., Atkins, A. and Yu, H. (2013) Elderly Activities Recognition and Classification for Applications in Assisted Living. Expert Systems with Applications, 40, 1662-1674.
[54]
Wu, J., Osuntogun, A., Choudhury, T., Philipose, M. and Rehg, J.M. (2007) A Scalable Approach to Activity Recognition Based on Object Use. IEEE 11th International Conference on Computer Vision, Rio de Janeiro, 14-21 October 2007, 1-8.
https://doi.org/10.1109/iccv.2007.4408865
[55]
Wongpatikaseree, K., Ikeda, M., Buranarach, M., Supnithi, T., Lim, A.O. and Tan, Y. (2012) Activity Recognition Using Context-Aware Infrastructure Ontology in Smart Home Domain. 7th International Conference on Knowledge, Information and Creativity Support Systems (KICSS), Melbourne, 8-10 November 2012, 50-57.
https://doi.org/10.1109/kicss.2012.26
[56]
Krishnan, N.C. and Cook, D.J. (2014) Activity Recognition on Streaming Sensor Data. Pervasive and Mobile Computing, 10, 138-154.
[57]
Ni, Q., García Hernando, A.B. and de la Cruz, I.P. (2015) The Elderly’s Independent Living in Smart Homes: A Characterization of Activities and Sensing Infrastructure Survey to Facilitate Services Development. Sensors, 15, 11312-11362.
https://doi.org/10.3390/s150511312
[58]
Khusainov, R., Azzi, D., Achumba, I.E. and Bersch, S.D. (2013) Real-Time Human Ambulation, Activity, and Physiological Monitoring: Taxonomy of Issues, Techniques, Applications, Challenges and Limitations. Sensors, 13, 12852-12902.
https://doi.org/10.3390/s131012852