The introduction of the Information and Communication Technologies throughout the last
decades has created a trend of providing daily objects with smartness, aiming to make …

This review aims to present current advancements in wearable technologies and IoT-based
applications to support independent living. The secondary aim was to investigate the …

Nowadays, governments launch open government data (OGD) portals that provide data that
can be accessed and used by everyone for their own needs. Although the potential …

Elderly population (over the age of 60) is predicted to be 1.2 billion by 2025. Most of the
elderly people would like to stay alone in their own house due to the high eldercare cost and …

In the last decade, unobtrusive (device-free and non-privacy invasive) recognition of
activities of daily living for an individual in a smart home has been studied by many …

Real-time location systems (RTLS) record locations of individuals over time and are
valuable sources of spatiotemporal data that can be used to understand patterns of human …

Single resident life style is increasing among the elderly due to the issues of elderly care
cost and privacy invasion. However, the single life style cannot be maintained if they have …

With the population aging, elderly health monitoring is triggering more studies on daily
activity recognition as the fundamental of ambient assisted living. It is remarkable that activity …

This paper presents anomaly detection in activities of daily living based on entropy
measures. It is shown that the proposed approach will identify anomalies when there are …

Low-cost sensors and ubiquitous wireless networking is enabling novel ways in which
homeowners can interact with their smart homes. Many complementary approaches like …