Abstract
Alzheimer’s disease is a progressive degenerative disease that affects cognition and memory. The affected person becomes increasingly unable to remember events, recognize things and people, retain the meaning of words and exercise judgment over time. Furthermore, as a person with Alzheimer’s disease becomes weaker and more vulnerable to physical and moral threats, living alone and independently is no longer an option. She thus becomes dependent on her family members and caregivers. However, the emergence of home automation and artificial intelligence, as well as its deployment in the sphere of health and well-being, has proven to be effective and practical. Thus, remote monitoring and assistance have made it possible to regain autonomy and independence. In this paper, we survey recent and relevant works that combine artificial intelligence techniques, namely Machine Learning and Deep Learning, with smart homes to ensure Alzheimer’s inhabitants safety while performing their daily activities.
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Benlala, W., Bouchelaghem, S., Yazid, M. (2023). Survey on Artificial Intelligence Algorithms Application for Alzheimer’s and Elderly People Safety in Smart Homes. In: Hatti, M. (eds) Advanced Computational Techniques for Renewable Energy Systems. IC-AIRES 2022. Lecture Notes in Networks and Systems, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-031-21216-1_42
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