INTELLIGENT UBIQUITOUS SPACES FOR ELDERLY ASSISTANCE AND CARE

Abstract

Ubiquitous intelligent spaces represent the state-of-the-art in monitoring computing, sensor networks, and context-aware system integration for elderly care and attention. These environments rely on data capture, machine learning model training, and interface adaptation for perpetual, caretaker-designed monitoring. The concerns related to age-related health phenomena require holistic support strategies that address autonomy, security, and healthcare efficiency within residences and care facilities. This paper aims to provide an overview of intelligent ubiquitous spaces with an emphasis on architecture, healthcare integration, and advanced privacy-aware data management. It addresses crucial issues related to an elderly-friendly, elderly-friendly graphical interface, data security, and interoperability with other medical devices. Functional, practical case studies demonstrate the effectiveness of the systems in emergency detection, remote healthcare supervision, and reducing caregiver workload. This approach focuses on designing distinct algorithms and system models for elder-friendly environments. In conclusion, most of the highlight’s center on deep learning AI, edge computing, and the IoT's impact on making these spaces more intelligent, flexible, and intuitive.