Angelah: a framework for assisting elders at home

Abstract

Abstract-The ever growing percentage of elderly people within modern societies poses welfare systems under relevant stress. In fact, partial and progressive loss of motor, sensorial, and/or cognitive skills renders elders unable to live autonomously, eventually leading to their hospitalization. This results in both relevant emotional and economic costs.Ubiquitous computing technologies can offer interesting opportunities for in-house safety and autonomy. However, existing systems partially address in-house safety requirements and typically focus on only elder monitoring and emergency detection. The paper presents ANGELAH, a middleware-level solution integrating both "elder monitoring and emergency detection" solutions and networking solutions. ANGELAH has two main features: i) it enables efficient integration between a variety of sensors and actuators deployed at home for emergency detection and ii) provides a solid framework for creating and managing rescue teams composed of individuals willing to promptly assist elders in case of emergency situations. A prototype of ANGE-LAH, designed for a case study for helping elders with vision impairments, is developed and interesting results are obtained from both computer simulations and a real-network testbed.

Effects of physical exercise programme on happiness among older people

“…The numbers of older people in the total population is currently increasing throughout the world (Ferhan & Vesile 2011). This increase in the older population is more attributable to advances in public health and the social determinants than to medical care (Taleb et al 2009). Since 2000, the proportion of older adults in the world has increased from 10.0% to 14.2% by 2009, and it will increase to 21.0% in 2025-2050(Population Division, Department of Economic and Social Affairs 2009).…”

Wireless telemedicine and m-health: technologies, applications and research issues

“…Based on those records, it also may utilise chronobiology algorithms to predict some illness or to detect some symptoms using a simple rule system (Jara et al, 2009). Taleb et al (2009) designed a similar framework for assisting elders at home. It is named ANGELAH, which stands for 'AssistiNG ELders At Home' (Taleb et al, 2009).…”

Integration of Wearable Smart Sensor for Improving e-Healthcare

“…A comprehensive understanding of the MIMO wireless network provides us for establishing the wireless body area network, and the way in which information of the wrist, knee, and ankle could be used to improve patient care via wearable sensors [2]. When the efficient framework is available at home, healthcare facilities for elders will be manageable quickly [3]. Despite remote monitoring, e-healthcare helps healthcare units to avoid all complex problems and provides the best performance of services.…”