Generic placeholder image

Recent Patents on Engineering

Editor-in-Chief

ISSN (Print): 1872-2121
ISSN (Online): 2212-4047

Review Article

Location Tracking Mechanisms for Dementia Patients

Author(s): Parul Arora* and Suman Deswal

Volume 17, Issue 5, 2023

Published on: 25 August, 2022

Article ID: e270522205328 Pages: 12

DOI: 10.2174/1872212116666220527101236

Price: $65

Abstract

Background: Dementia causes a slow decline in the cognitive impairing abilities in the behavior of the elders. This suppresses the elders from living independently due to their wandering tendencies. To reduce any kind of harm to such patients, consistent supervision is required by the caretaker. The existing location tracking methods consume high energy to provide an accurate location.

Introduction: Some systems have been developed to track the wandering pattern of patients in indoor and outdoor environments. Initially, the methodologies used for location tracking use sensors and accelerometers based on embedded programs. However, these methods do not provide high accuracy and are hence unreliable.

Methods: In this paper, a study on the location detection algorithms based upon frequency of visit, navigation, geofences, and movement patterns is carried out. Many other algorithms based on location tracking are discussed in this study.

Results: The algorithms are compared on the basis of accuracy, recall rate, detection rate, and false alarm rate. The algorithms based on geofence provide a 95% detection rate, 95% accuracy, less than 3% false alarm rate, and less than 1 ms latency. The algorithms based on navigation provide 85% detection rate, 95% accuracy, less than 2% false alarm rate, and less than 10 s latency, while the algorithms based on movement pattern offer 90% detection rate, 90% accuracy, 5% false alarm rate, and 12 s latency.

Conclusion: The study shows that geofences provide the best solution for detecting the location of patients.

Keywords: Dementia, geofence, location tracking, location detection, GPS

Graphical Abstract

[1]
C. Ko, F. Leu, and I. Lin, "A wandering path tracking and fall detection system for people with dementia", In 2014 Ninth International Conference on Broadband and Wireless Computing, Communication and Applications, 08-10 November 2014, Guangdong, China, IEEE, 2014, pp. 306-311
[http://dx.doi.org/10.1109/BWCCA.2014.127]
[2]
K. Zhao, "Indoor geofencing based on sensorless motion sensing and fingerprint self-updating", Mob. Netw. Appl., vol. 26, pp. 851-869, 2021.
[http://dx.doi.org/10.1007/s11036-019-01329-0]
[3]
H. Yoon, Y. Chou, X. Chen, E. Frew, and S. Sankaranarayanan, "Predictive runtime monitoring for linear stochastic systems and applications to geofence enforcement for UAVs", In: Finkbeiner B., Mariani L., Eds., Runtime Verification. RV 2019. Lecture Notes in Computer Science, vol. 11757. Springer, Cham, 2019.
[http://dx.doi.org/10.1007/978-3-030-32079-9_20]
[4]
S. Peši, M. Tošić M. Radovanović O. Iković M. Ivanović and D. Bošković “GEMAT - Internet of Things Solution for Indoor Security GeofencingProceedings of the 9th Balkan Conference on Informatics, New York, NY, USA, 2019, pp. 1-8.
[http://dx.doi.org/10.1145/3351556.3351558]
[5]
V. Carchiolo, "An efficient real-time monitoring to manage home-based oxygen therapy", In: A. Rocha, H. Adeli, L.P. Reis, S. Costanzo, Eds., Trends and Advances in Information Systems and Technologies. WorldCIST’18 2018. Advances in Intelligent Systems and Computing., vol. 745. Springer: Cham, 2018.
[http://dx.doi.org/10.1007/978-3-319-77703-0_74]
[6]
M.N. Stevens, H. Rastgoftar, and E.M. Atkins, "Geofence boundary violation detection in 3d using triangle weight characterization with adjacency", J. Intell. Robot. Syst., vol. 95, no. 1, pp. 239-250, 2019.
[http://dx.doi.org/10.1007/s10846-018-0930-5]
[7]
A.S. Nassar, A.H. Montasser, and N. Abdelbaki, "A survey on smart cities’ IoT", In A. Hassanien, K. Shaalan, T. Gaber, M. Tolba, (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017. AISI 2017. Advances in Intelligent Systems and Computing, vol. 639. Springer, Cham, 2018.
[http://dx.doi.org/10.1007/978-3-319-64861-3_80]
[8]
D.J. Patterson, "Opportunity knocks: A system to provide cognitive assistance with transportation services", In: N. Davies, E.D. Mynatt, I. Siio, Eds., UbiComp 2004: Ubiquitous Computing. UbiComp 2004. Lecture Notes in Computer Science, vol. 3205. Springer, Berlin, Heidelberg, 2004.
[http://dx.doi.org/10.1007/978-3-540-30119-6_26]
[9]
P.W. Modica, M.P. Loria, M. Toja, V. Carchiolo, and M. Malgeri, "A geofencing algorithm fit for supply chain management", In 2018 Federated Conference on Computer Science and Information Systems (FedCSIS), 2018, pp. 737-746
[10]
F. Sposaro, J. Danielson, and G. Tyson, "iWander: An Android application for dementia patients", Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., vol. 2010, pp. 3875-3878, 2010.
[http://dx.doi.org/10.1109/IEMBS.2010.5627669] [PMID: 21097072]
[11]
T. Toutountzi, S. Phan, and F. Makedon, "A framework for the assessment of wandering behavior", In Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, New York, NY, USA, 2015, pp. 1-2
[http://dx.doi.org/10.1145/2769493.2769577]
[12]
B. Kearns, J.L. Fozard, and V. Nams, "Wireless telesurveillance system for detecting dementia", Gerontology, vol. 10, pp. 90-102, 2011.
[13]
V. Carchiolo, M.P. Loria, M. Malgeri, P.W. Modica, and M. Toja, "An adaptive algorithm for geofencing", In: E. Ziemba, Ed., Information Technology for Management: Emerging Research and Applications. AITM ISM 2018 2018. Lecture Notes in Business Information Processing., vol. 346. Springer: Cham, 2019.
[http://dx.doi.org/10.1007/978-3-030-15154-6_7]
[14]
K. Doughty, G. Williams, P.J. King, and R. Woods, DIANA-a telecare system for supporting dementia sufferers in the community. Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286), 01-01 November 1998, Hong Kong, China, IEEE, 1998.
[http://dx.doi.org/10.1109/IEMBS.1998.746991]
[15]
J. Biswas, D. Zhang, G. Qiao, S.F. Foo Victor, Q. Qiu, and P. Yap, A system for activity monitoring and patient tracking in a smart hospital. Proceedings of the International Conference on Smart Homes and Health Telematics, ICOST, 2006.
[16]
D.J. Cynthia, N.M. Guptha, and C.B. Priya, "IoT based prisoner escape alert and prevention system", Int. J. Pure Appl. Math., vol. 120, no. 6, pp. 11543-11554, 2018.
[17]
Y. Masuda, T. Yoshimura, K. Nakajima, M. Nambu, T. Hayakawa, and T. Tamura, Unconstrained monitoring of prevention of wandering the elderly. Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology], 23-26 October 2002, Houston, TX, USA, IEEE,, 2002, p. 1906-1907.
[http://dx.doi.org/10.1109/IEMBS.2002.1053086]
[18]
K. Ota, Y. Ota, M. Otsu, and A. Kajiwara, Elderly-care motion sensor using UWB-IR. 2011 IEEE Sensors Applications Symposium, 22-24 February 2011, San Antonio, TX, USA, IEEE, 2011, pp. 159-162.
[http://dx.doi.org/10.1109/SAS.2011.5739786]
[19]
M. Rowe, S. Lane, and C. Phipps, "CareWatch: A home monitoring system for use in homes of persons with cognitive impairment", Top. Geriatr. Rehabil., vol. 23, no. 1, pp. 3-8, 2007.
[http://dx.doi.org/10.1097/00013614-200701000-00003] [PMID: 20454554]
[20]
K. Shimizu, K. Kawamura, and K. Yamamoto, Location system for dementia wandering. Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143), 23-28 July 2000, Chicago, IL, USA, IEEE, 2000, p. 1556-1559.
[http://dx.doi.org/10.1109/IEMBS.2000.898039]
[21]
S. Hossain, K. Hallenborg, and Y. Demazeau, "iRoute: Cognitive support for independent living using BDI agent deliberation", In: J.M. Corchado, J.B. Pérez, K. Hallenborg, P. Golinska, R. Corchuelo, Eds., Trends in Practical Applications of Agents and Multiagent Systems., Advances in Intelligent and Soft Computing: Berlin, Heidelberg, 2011, pp. 41-50.
[http://dx.doi.org/10.1007/978-3-642-19931-8_6]
[22]
J. Hoey, X. Yang, E. Quintana, and J. Favela, LaCasa: Location and context-aware safety assistant. 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops, 2012, p. 171-174.
[http://dx.doi.org/10.4108/icst.pervasivehealth.2012.248642]
[23]
R. Calvo-Palomino, P. de las Heras-Quirós, J.A. Santos-Cadenas, R. Román-López, and D. Izquierdo-Cortázar, Outdoors Monitoring of Elderly People Assisted by Compass, GPS and Mobile Social Network. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living, Berlin, Heidelberg, 2009, p. 808-811.
[http://dx.doi.org/10.1007/978-3-642-02481-8_122]
[24]
P. Tayarzadeh, and M.S. Kordafshari, Target tracking in wireless sensor network (energy efficy engiiency). In. 2017 Artificial Intelligence and Robotics (IRANOPEN), 09-09 April 2017., Qazvin, Iran: IEEE, 2017, pp. 158-164.
[http://dx.doi.org/10.1109/RIOS.2017.7956460]
[25]
D.L. Algase, E.R.A. Beattie, E-L. Bogue, and L. Yao, "The Algase Wandering Scale: Initial psychometrics of a new caregiver reporting tool", Am. J. Alzheimers Dis. Other Demen., vol. 16, no. 3, pp. 141-152, 2001.
[http://dx.doi.org/10.1177/153331750101600301] [PMID: 11398562]
[26]
N. Tung, Toward an intelligent long-term assistance for people with dementia in the context of navigation in indoor environments, PhD thesis, Universität Würzburg, Graduate Schools, Veitnam, 2017.
[27]
S. Teipel, C. Babiloni, J. Hoey, J. Kaye, T. Kirste, and O.K. Burmeister, "Information and communication technology solutions for outdoor navigation in dementia", Alzheimers Dement., vol. 12, no. 6, pp. 695-707, 2016.
[http://dx.doi.org/10.1016/j.jalz.2015.11.003] [PMID: 26776761]
[28]
L-A. Topfer, GPS Locator Devices for People With Dementia.CADTH Issues in Emerging Health Technologies., Canadian Agency for Drugs and Technologies in Health: Ottawa, ON, 2016. Available from: http://www.ncbi.nlm.nih.gov/books/NBK391026/
[29]
S. Perälä, K. Mäkelä, A. Salmenaho, and R. Latvala, "Technology for elderly with memory impairment and wandering risk", Ehealth. Telecommun. Syst. Netw., vol. 02, no. 1, pp. 13-22, 2013.
[http://dx.doi.org/10.4236/etsn.2013.21003]
[30]
A. Kumar, M. Ma, C.T. Lau, and S. Chan, A framework of real-time wandering management for person with dementia. Proceedings of the 8th International Conference on Computer Modeling and Simulation, New York, NY, USA, 2017, pp. 146-150.
[http://dx.doi.org/10.1145/3036331.3050424]
[31]
D.A. Klein, M. Steinberg, E. Galik, C. Steele, J.M. Sheppard, A. Warren, A. Rosenblatt, and C.G. Lyketsos, "Wandering behaviour in community-residing persons with dementia", Int. J. Geriatr. Psychiatry, vol. 14, no. 4, pp. 272-279, 1999.
[http://dx.doi.org/10.1002/(SICI)1099-1166(199904)14:4<272:AID-GPS896>3.0.CO;2-P] [PMID: 10340188]
[32]
Q. Lin, D. Zhang, X. Huang, H. Ni, and X. Zhou, Detecting wandering behavior based on gps traces for elders with dementia. 12th International Conference on Control, Automation, Robotics and Vision, 05-07 December 2012, Guangzhou, China, IEEE, 2012.
[http://dx.doi.org/10.1109/ICARCV.2012.6485238]
[33]
A. Kumar, C.T. Lau, S. Chan, M. Ma, and W.D. Kearns, A unified grid-based wandering pattern detection algorithm. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 16-20 August 2016, Orlando, FL, USA, IEEE, 2016, p. 5401-5404.
[http://dx.doi.org/10.1109/EMBC.2016.7591948]
[34]
J. Wan, C. Byrne, G.M.P. O’Hare, and M.J. O’Grady, Orange alerts: Lessons from an outdoor case study. 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops, 2011, p. 446-451.
[http://dx.doi.org/10.4108/icst.pervasivehealth.2011.246081]
[35]
E. Estrada, and J.A. Rodríguez-Velázquez, "Subgraph centrality in complex networks", Phys. Rev. E Stat. Nonlin. Soft Matter Phys., vol. 71, no. 5 Pt 2, p. 056103, 2005.
[http://dx.doi.org/10.1103/PhysRevE.71.056103] [PMID: 16089598]
[36]
A. Solanas, E. Batista, F. Borras, A. Martínez-Ballesté, and C. Patsakis, Wandering analysis with mobile phones: On the relation between randomness and wandering. 2015 International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS), 2015, pp. 168-173.
[37]
E. Batista, F. Borras, F. Casino, and A. Solanas, A study on the detection of wandering patterns in human trajectories2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA), 06-08 July 2015, Corfu, Greece, IEEE, 2015, p. 1-6.
[http://dx.doi.org/10.1109/IISA.2015.7387995]
[38]
D. Martino-Saltzman, B.B. Blasch, R.D. Morris, and L.W. McNeal, "Travel behavior of nursing home residents perceived as wanderers and nonwanderers", Gerontologist, vol. 31, no. 5, pp. 666-672, 1991.
[http://dx.doi.org/10.1093/geront/31.5.666] [PMID: 1778493]
[39]
J. Sheppard, A. McGann, M. Lanzone, and R. Swaisgood, "An autonomous GPS geofence alert system to curtail avian fatalities at wind farms", Anim. Biotelem., vol. 3, no. 1, p. 43, 2015.
[http://dx.doi.org/10.1186/s40317-015-0087-y]
[40]
M. Alsaqer, and B. Hilton, "Indirect wayfinding navigation system for the elderly", In Twenty-first Americas Conference on Information Systems, Puerto Rico, 2015. Available from: https://elib.tips/edoc/indirect-wayfinding-navigation-system-for-the-elderly.html
[41]
N.K. Vuong, S. Chan, and C.T. Lau, "Automated detection of wandering patterns in people with dementia", Gerontechnology (Valkenswaard), vol. 12, no. 3, pp. 127-147, 2014.
[http://dx.doi.org/10.4017/gt.2014.12.3.001.00]
[42]
Z. Karapinar Senturk, "Early diagnosis of Parkinson’s disease using machine learning algorithms", Med. Hypotheses, vol. 138, p. 109603, 2020.
[http://dx.doi.org/10.1016/j.mehy.2020.109603] [PMID: 32028195]
[43]
M. Alsaqeer, and B. Hilton, "A transfer learning-based deep learning approach for automated COVID-19 diagnosis with audio data", Turk. J. Electr. Eng. Comput. Sci., vol. 29, pp. 2807-2823, 2021. Available from: https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1481063
[44]
Q. Lin, D. Zhang, K. Connelly, H. Ni, Z. Yu, and X. Zhou, "Disorientation detection by mining GPS trajectories for cognitively-impaired elders", Pervasive Mobile Comput., vol. 19, pp. 71-85, 2015.
[http://dx.doi.org/10.1016/j.pmcj.2014.01.003]
[45]
N.K. Vuong, S. Chan, C.T. Lau, S.Y.W. Chan, P.L.K. Yap, and A.S.H. Chen, Preliminary results of using inertial sensors to detect dementia- related wandering patterns2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 25-29 August 2015, Milan, Italy, IEEE, 2015, p. 3703-3706.
[http://dx.doi.org/10.1109/EMBC.2015.7319197]
[46]
M.E. Bayrakdar, "Priority based health data monitoring with IEEE 802.11af technology in wireless medical sensor networks", Med. Biol. Eng. Comput., vol. 57, no. 12, pp. 2757-2769, 2019.
[http://dx.doi.org/10.1007/s11517-019-02060-4] [PMID: 31741289]
[47]
S. Garzon, B. Deva, G. Pilz, and S. Medack, Infrastructure-assisted geofencing. 2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, 30 March 2015 - 03 April 2015, San Francisco, CA, USA, IEE, 2015, p. 61-70.
[http://dx.doi.org/10.1109/MobileCloud.2015.31]
[48]
N.K. Vuong, S. Chan, C.T. Lau, and K.M. Lau, A predictive location-aware algorithm for dementia care. 2011 IEEE 15th International Symposium on Consumer Electronics (ISCE), 14-17 June 2011, Singapore, IEEE, 2011, p. 339-342.
[http://dx.doi.org/10.1109/ISCE.2011.5973845]
[49]
J. Petzold, F. Bagci, W. Trumler, and T. Ungerer, "Comparison of different methods for next location prediction", In: W.E. Nagel, W.V. Walter, W. Lehner, Eds., Euro-Par 2006 Parallel Processing. Euro-Par 2006. Lecture Notes in Computer Science, vol. 4128. Springer, Berlin, Heidelberg, 2006.
[http://dx.doi.org/10.1007/11823285_96]
[50]
Q. Lin, X. Liu, and W. Wang, “GPS trajectories based personalized safe geofence for elders with dementia”, 2018 IEEE SmartWorld, Ubiquitous Intelligence Computing, Advanced Trusted Computing, Scalable Computing Communications, Cloud Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 08-12 October 2018., Guangzhou, China, IEEE, 2018, pp. 505-514.
[http://dx.doi.org/10.1109/SmartWorld.2018.00111]
[51]
J. Helmy, and A. Helmy, Demo abstract: Alzimio: A mobile app with geofencing, activity-recognition and safety features for dementia patients. 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 01-04 May 2017, Atlanta, GA, USA, IEEE, 2017, p. 994-995.
[http://dx.doi.org/10.1109/INFCOMW.2017.8116527]
[52]
W. Sansrimahachai, Stream-based wandering monitoring system for elderly people with dementia. 2015 15th International Symposium on Communications and Information Technologies (ISCIT), 07-09 October 2015, Nara, Japan, IEEE, 2015, p. 1-4.
[http://dx.doi.org/10.1109/ISCIT.2015.7458292]
[53]
Q. Lin, D. Zhang, L. Chen, H. Ni, and X. Zhou, "Managing Elders’ Wandering Behavior Using Sensors-based Solutions: A Survey", Int. J. Gerontol., vol. 8, no. 2, pp. 49-55, 2014.
[http://dx.doi.org/10.1016/j.ijge.2013.08.007]
[54]
N.K. Vuong, S. Chan, C.T. Lau, and K.M. Lau, Feasibility study of a real-time wandering detection algorithm for dementia patientsProceedings of the First ACM MobiHoc Workshop on Pervasive Wireless Healthcare, New York, NY, USA, 2011, pp. 1-4.
[http://dx.doi.org/10.1145/2007036.2007050]
[55]
H. Arshad, M.A. Khan, M.I. Sharif, M. Yasmin, J. M.R.S. Tavares, Z. Yu-Dong, and S. C. Satapathy, "A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition - Arshad - Expert Systems - Wiley Online Library", Available from: https://onlinelibrary.wiley.com/doi/abs/10.1111/exsy.12541
[56]
H. Li, X. Liu, and X. Shi, "Human Health Management and Life/Disease Risk Assessment: A Review", Recent Pat. Eng., vol. 15, no. 1, pp. 30-36, 2021.
[http://dx.doi.org/10.2174/1872212114666200218112118]
[57]
J. Helmy, and A. Helmy, The alzimio app for dementia, autism Alzheimer’s: Using novel activity recognition algorithms and geofencingIEEE International Conference on Smart Computing (SMARTCOMP), 18-20 May 2016, St. Louis, MO, USA, IEEE, 2016, pp. 1-6.
[http://dx.doi.org/10.1109/SMARTCOMP.2016.7501720]
[58]
Y-J. Chang, "Anomaly detection for travelling individuals with cognitive impairments", SIGACCESS Access. Comput, no. 97, pp. 25-32, 2010.
[http://dx.doi.org/10.1145/1873532.1873535]

Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy