In recent years, researchers have developed a variety of assistive technologies based on the emerging “ambient intelligence” paradigm. Ambient intelligence aims at empowering human capabilities by the means of digital environments that are sensitive, adaptive, and responsive to human needs [1,2]. This vision of daily environments enables innovative human–machine interactions characterized by pervasive, unobtrusive and anticipatory communications. Assisted living technologies based on ambient intelligence support the development of the so-called ambient-assisted living (AAL) systems. AAL can effectively improve the safety, health conditions and wellness of elderly individuals. These goals are supported by Wireless Sensor Network (WSN) infrastructures aiming at the continuous monitoring of elderly status, early diagnosis of potential health deterioration and detection of hazardous events. Among others, AAL technologies have been utilized in: mobile emergency response systems [3]; fall detection systems [4,5,6]; video surveillance systems [7,8]; activities of daily living (ADL) monitoring systems [9]; reminders issuing systems (e.g., for medication intake) [10]; chronic disease management and rehabilitation [11]; mobility and automation assistive tools [12]; systems that ease the connection and communication with peers, family and friends [13].