An intelligent model of home support for people with loss of autonomy: A novel approach

Dahmani, Kawtar; Tahiri, Abderrahim; Habert, O.; Elmeftouhi, Yassine

doi:10.1109/codit.2016.7593557

Cited by 6 publications

(1 citation statement)

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“…-Artificial Intelligence for Living Assistance: In order to assist aged and physically disabled individual, automated systems coupled with intelligent robots can significantly elevate standard of life. Recently, [122] released an outline of intelligent home with capabilities for patients with loss of autonomy, as well as smart models developed on sensory devices over wireless networks, data collection, and AI. NNs may be trained to detect human facial expressions as commands using certain image-processing processes.…”

Section: How Does Ai Work?mentioning

confidence: 99%

Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues

et al. 2022

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Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare field. Traditionally, the healthcare system works based on centralized agents sharing their raw data. Therefore, huge vulnerabilities and challenges are still existing in this system. However, integrating with AI, the system would be multiple agent collaborators who are capable of communicating with their desired host efficiently. Again, FL is another interesting feature, which works decentralized manner; it maintains the communication based on a model in the preferred system without transferring the raw data. The combination of FL, AI, and XAI techniques can be capable of minimizing several limitations and challenges in the healthcare system. This paper presents a complete analysis of FL using AI for smart healthcare applications. Initially, we discuss contemporary concepts of emerging technologies such as FL, AI, XAI, and the healthcare system. We integrate and classify the FL-AI with healthcare technologies in different domains. Further, we address the existing problems, including security, privacy, stability, and reliability in the healthcare field. In addition, we guide the readers to solving strategies of healthcare using FL and AI. Finally, we address extensive research areas as well as future potential prospects regarding FL-based AI research in the healthcare management system.

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Section: How Does Ai Work?mentioning

confidence: 99%