Anomaly detection has attracted considerable attention from the research community in the
past few years due to the advancement of sensor monitoring technologies, low-cost …

Human activity detection within smart homes is one of the basis of unobtrusive wellness
monitoring of a rapidly aging population in developed countries. Most works in this area use …

In this paper, we present a Bluetooth Low Energy (BLE) based indoor positioning system
developed for monitoring the daily living pattern of old people (eg people living with …

Activity recognition plays an essential role in bridging the gap between the low-level sensor
data and the high-level applications in ambient-assisted living systems. With the aim to …

To effectively collaborate with people, robots are expected to detect and profile the users
they are interacting with, but also to modify and adapt their behavior according to the …

In recent years, there is a rapid increase in the population of elderly people. However,
elderly people may suffer from the consequences of cognitive decline, which is a mental …

To promote sustainable development, the smart city implies a global vision that merges
artificial intelligence, big data, decision making, information and communication technology …

Activity recognition is a popular research area with a number of applications, particularly in
the smart home environment. The unique features of smart home sensors have challenged …

Data mining (DM) is an instrument of pattern detection and retrieval of knowledge from a
large quantity of data. Many robust early detection services and other health-related …

Facing the gradual ageing society, elderly people living independently are in need of
serious attention. In order to assist them to live in a safer environment, the increasing cost of …