Intelligent Sensing and Learning for Assisted Living Applications

Abstract

Achievements of today telemedicine and surveillance techniques offer exciting possibilities for developing intelligent assisted living systems for elderly or disabled. This chapter presents an universal sketch of multimodal health monitoring systems complying with regard to a paradigm of ubiquitous and personalized medicine. The proposed design combines advantages of context-reprogrammable sensors, flexibility of reconfigurable networks built on the surface of human body or embedded in premise infrastructures and automatic, subject-sensitive decision making based on presumptions and experience represented in artificial intelligence. Considering these key features leads to a concept, technical design and a prototype of a system suitable for majority of human surveillance purposes including home care, hospices, rehabilitation and sport training. The prototype was tested in several experimental setups intended to simulate volunteers' homes for seamless monitoring with no limit of indoor and outdoor mobility and for recognition of normal, suspected and dangerous events. The results confirm the expected adaptability of the system to human-dependent and environment-specific relations. © Springer International Publishing Switzerland 2014.