Designing an activity recognition system that models various activities of an occupant is the
fundamental task in creating a smart home. Activity Recognition (AR) modeling, has …

Statistics reveal that globally, the aging population in different stages of dementia are
struggling to cope with daily activities and are progressively becoming dependent on care …

Environmental sensors are exploited in smart homes for many purposes. Sensor data
inherently carries behavioral information, possibly useful to infer wellness and health-related …

The current rapid growth of Internet of Things (IoT) in various commercial and non-
commercial sectors has led to the deposition of large-scale IoT data, of which the time …

As per the statistics of WHO (World Health Organization), major percentages of aged society
across the globe are affected with memory related disease-dementia. The percentage of …

Assistive health care system is a viable solution for elderly care to offer independent living.
Such health care systems are feasible through smart homes, which are intended to enhance …

Situation awareness is the first and most important step in emergency management. It is a
dynamic step involving evolving conditions and environments. It is an area of active …

The environment of an intelligent building includes systems and sensors with significant
heterogeneity. With the growth of heterogeneous devices and sensor technologies in …

Recently, human activity recognition and prediction have become important functionalities in
ambient-assisted living. Activity inference algorithms detect what task a human undertakes …

Smart environments have progressed and evolved into a significant research area with
development of sensor technology, wireless communication and machine learning …