Neural Computing and Applications, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 19, 2024
Language: Английский
IEEE Internet of Things Journal, Journal Year: 2024, Volume and Issue: 11(21), P. 34797 - 34810
Published: July 1, 2024
Language: Английский
Citations
5
Sensors, Journal Year: 2025, Volume and Issue: 25(3), P. 853 - 853
Published: Jan. 30, 2025
The integration of IoT and Ambient Assisted Living (AAL) enables discreet real-time health monitoring in home environments, offering significant potential for personalized preventative care. However, challenges persist balancing privacy, cost, usability, system reliability. This paper provides an overview recent advancements sensor technologies assisted living, with a focus on elderly individuals living independently. It categorizes types that enhance healthcare delivery explores interdisciplinary framework encompassing sensing, communication, decision-making systems. Through this analysis, highlights current applications, identifies emerging challenges, pinpoints critical areas future research. aims to inform ongoing discourse advocate approaches design address existing trade-offs optimize performance.
Language: Английский
Citations
0
Published: Jan. 10, 2025
Language: Английский
Citations
0
Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 162861 - 162861
Published: April 1, 2025
Language: Английский
Citations
0
Geriatrik Bilimler Dergisi, Journal Year: 2025, Volume and Issue: 8(1), P. 72 - 83
Published: April 30, 2025
Dünya genelinde, hızla artan yaşlı nüfus, birçok sosyal zorluğu ve ekonomik yükü beraberinde getirmektedir. Altmış beş yaş üzeri bireylerde daha sık görülen düşme, bu popülasyonda mobiliteyi, genel sağlığı, yaralanma, ölüm sağlık kurumuna başvuru oranını önemli ölçüde etkilemektedir. Düşmelere katkıda bulunan unsurlardan biri, yaşlının yalnız yaşaması yaşlıları denetleme takip etme zorluğudur. Bu nedenle e-sağlık teknolojileri yaşayan yaşlılar için kritik önem arz etmektedir. Teknolojinin hızlı gelişimiyle ortaya çıkan, yapay zeka (YZ) nesnelerin interneti (loT) gibi sağlıkta alanda kullanımı teknolojik sistemler, yaşlılarda durumlarının takibi, düşme algılama kurtarma sistemlerinde bir sayfa açmıştır. acil servislere ulaştırarak ya da düşmenin erken tespitini yapıp kurumu/hasta yakını/bakıcıya haber vererek düşmelerin önlenmesi etkisini azaltmak çözümler sunmaktadır. Böylece can kaybı, yaralanma ile ilişkili harcamaları riskini azaltmaktadır. Yaşlıların kolay iyi yaşamalarına yardımcı olmak için, sensör, kızılötesi, donanım teknolojileri, makine öğrenimi derin öğrenme YZ sistemlerini loT’yi kullanan son teknoloji çalışmaları, insan müdahalesi olmadan gerçek zamanlı uzun vadeli izlemede teknolojilerin yetişkinlerde önleme en çözümlerden biri olacağını göstermektedir.
Citations
0
Sustainability, Journal Year: 2024, Volume and Issue: 16(11), P. 4579 - 4579
Published: May 28, 2024
In today’s digitalized era, embracing new and emerging technologies is a requirement to remain competitive. The present research investigates the adoption of artificial intelligence (AI) by elderly in European landscape, emphasizing importance individuals’ digital skills. As has already been globally recognized, most imminent demographic challenge no longer represented rapid growth population but its aging. Thus, paper initially analyzed perspectives on AI adoption, also discussing focusing seniors. A bibliometric analysis was required afterward, review resulting relevant scientific publications uncovered gaps understanding relationship between older individuals AI, particularly terms competence. Further exploration considered EU population’s literacy cultural influences using Hofstede’s model, while identifying potential ways improve elderly’s skills promote AI. Results indicate growing interest among elderly, underscoring urgent need for development. imperative personalized approach implementations, such as specialized courses, training sessions, or mentoring programs, underscored. Moreover, targeted strategies collaborative efforts ensure equitable participation age identified prerequisite implications, can serve starting point various stakeholders promoting an effective sustainable citizens EU.
Language: Английский
Citations
3
Sensors, Journal Year: 2024, Volume and Issue: 24(20), P. 6511 - 6511
Published: Oct. 10, 2024
The use of Artificial Intelligence (AI) in Internet Things (IoT) systems has gained significant attention due to its potential improve efficiency, functionality and decision-making. To further advance research practical implementation, it is crucial better understand the specific roles AI IoT identify key application domains. In this article we aim different domains where used most significantly. We have conducted a systematic mapping study using multiple databases, i.e., Scopus, ACM Digital Library, IEEE Xplore Wiley Online. Eighty-one relevant survey articles were selected after applying selection criteria then analyzed extract information. As result, six general tasks identified: pattern recognition, decision support, decision-making acting, prediction, data management human interaction. Moreover, 15 subtasks identified, as well 13 domains, healthcare was frequent. conclude that there are several important can perform systems, improving security across many
Language: Английский
Citations
1
Advances in information security, privacy, and ethics book series, Journal Year: 2024, Volume and Issue: unknown, P. 69 - 99
Published: Feb. 23, 2024
The term internet of things (IoT) denotes the advanced phase internet, wherein a worldwide communication infrastructure is established between individuals and machines. IoT now being developed as that has potential to significantly transform various aspects human life. Nevertheless, interconnected nature systems involvement other disciplines in their implementation have presented novel security obstacles. However, utilization deep learning techniques holds significant importance enhancing systems. This transformation goes beyond facilitation secure devices, it enables development intelligent prioritize security. In this chapter, basic architecture been discussed with its applications challenges. Different deep-learning for securing devices strengths weaknesses also explored.
Language: Английский
Citations
0
Published: March 15, 2024
It is a cellular application designed to improve the health and well-being of aged individuals through smart watch era. The app uses advanced features watches, including coronary heart fees activity tracking, monitor track fitness metrics person. utility has various capabilities, medication reminders, emergency name buttons, appointment help handle senior's wishes. includes social factor, allowing family members or caregivers receive real-time updates on older people's provide aid.
Language: Английский
Citations
0
Published: May 3, 2024
Language: Английский
Citations
0