A Semantic Agent-Based Safety Model for Alzheimer’sPatients for Driving

Yasir Sultan

doi:10.32350/icr.0101.05

Yasir Sultan The School of Computing and Built EnvironmentBirmingham City University, Birmingham, United Kingdom

DOI: https://doi.org/10.32350/icr.0101.05

Keywords: activities of daily living, cognitive impairment, domain ontologies, semantic reasoning

Abstract

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Alzheimer’s disease drastically affects the human neurological system, causing the death of neurons and synapses in cerebral cortex and other regions. Consequently, patients with Alzheimer’s disease require 24/7 care and assistance with daily life activities. This study uses an ontology-based semantic model to assist the Alzheimer’s patients through activity recognition in the focused scenario of driving. The safety model presented in this paper alerts the user if anything dangerous is about to happen when they enter a car or during driving. It should be noted that the model is specifically designed for the patients suffering from a mild form of Alzheimer’s disease. We have used semantics to define the objects and environment for the patients. After proper monitoring and evaluation, our model suggests a proper course of action based on semantic reasoning.

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References

M. E. Mlinac and M. C. Feng, "Assessment of activities of daily living, self-care, and independence," Archives of Clinical Neuropsychology,vol. 31, no. 6, pp. 506-516, 2016. https://doi.org/10.1093/arclin/acw049

J. D. Kasper, "The disproportionate impact of dementia on family and unpaid caregiving to older adults.," Health Affairs, vol. 34, no. 10, pp. 1642-1649, 2015.

K. Jekelet al., "Mild cognitive impairment and deficitsin instrumental activities of daily living: a systematic review," Alzheimer's Research & Therapy, vol. 7, no. 1, pp. 1-17, 2015. https://doi.org/10.1186/s13195-015-0099-0

Alzheimer's Research UK, "Dementia Statistics Hub," 2018. [Online]. Available: https://www.dementiastatistics.org/statistics/numbers-of-people-in-the-uk/

Alzheimer's Society, "Understandingand supporting a person with dementia," 2018. [Online]. Available: https://www.alzheimers.org.uk/get-support/help-dementia-care/ understanding-supporting-person-dementia

C. K. Andersen, K. U. Wittrup-Jensen, A. Lolk, K. Andersen, and P. J. H. Kragh-Sørensen, "Ability to perform activities of daily living is the main factor affecting quality of life in patients with dementia," Health and Quality of Life Outcomes, vol. 2, no. 1, pp. 2-52, 2004. https://doi.org/10.1186/1477-7525-2-52

X. Huang, J. Yi, X. Zhu, and S. J. S. Chen, "A semantic approach with decision support for safety service in smart home management," Sensors, vol. 16, no. 8, pp. 1224, 2016. https://doi.org/ 10.3390/s16081224

Protage Stanford University.(2018). Available: https://protege.stanford.edu/products.php

W3C Semantic Web. (11 December 2013). Web Ontology Language. [Online]. Available: https://www.w3.org/OWL/

W3C Semantic Web. (15 March 2014). Resource Description Framework. [Online]. Available: https://www.w3.org/RDF/

Horrocks, P. F. Patel-Schneider, H. Boley, S. Tabet, and B. Grosof, "SWRL: A semantic web rule language combining OWL and RuleML," W3C Member submission,vol. 21, pp. 79, 2004.

E. J. Friedman-Hill, "Jessrules," 2018. [Online]. Available: https://www.jessrules.com/jess/docs/71/

Apache Jena. (2019). Available: https://jena.apache.org/

A.-R. Tawil, "A Semantic-Based Safety Model for Alzheimer Patients," Unpublished, 2018.

H. Ishii, K. Kimino, M. Aljehani, N. Ohe, and M. Inoue, "An early detection system for dementia using the M2 M/IoT platform," Procedia Computer Science, no. 96, pp. 1332-1340, 2016. https://doi.org/10.1016/j.procs. 2016.08.178

F. Zekri, R. Bouaziz, and E. Turki, "A fuzzy-based ontology for Alzheimer's disease decision support," in 2015 IEEE InternationalConference on Fuzzy Systems (FUZZ-IEEE), 2015, pp. 1-6: IEEE. https://doi.org/10.1109/FUZZ-IEEE.2015.7337922

K.-Y. Lam, N. W.-H. Tsang, S. Han, J. K.-Y. Ng, S.-W. Tam, and A. Nath, "SmartMind: activity tracking and monitoring for patients with Alzheimer's disease," in 2015 IEEE 29th International Conference on Advanced Information Networking and Applications, 2015, pp. 453-460: IEEE.

S. M. Zhang, "An ontology-based context-aware approach for behaviour analysis," Activity Recognition in Pervasive IntelligentEnvironments, pp. 127-148), 2011.

L. Chen, C. D. Nugent, and K. Wang, "A knowledge-driven approach to activity recognition in smart homes," IEEE Transactions on Knowledge and Data Engineering, no. 24, pp. 961-974, 2012.

S. Zhang, P. McCullagh, and H. Zheng, "Situation Awareness Inferred from Posture Transition and Location; derived from smart phone and smart home sensors," IEEE Transactions on Human-Machine Systems, vol. 47, no. 6, pp. 814-821, 2017. https://doi.org/10.1109/THMS.2017.2693238

K. Gayathri and K. S. Easwarakumar, "Intelligent decision support system for dementia care through smart home," Procedia Computer Science, vol. 93, pp. 947-955, 2016. https://doi.org/10.1016/j.procs.2016.07.281