Emergence of smart appliances and high performance IoT devices is promoting studies on
more functional and intelligent home services using these devices. Especially, in developed …

Multi-sensor based human activity recognition is one of the challenges in the ambient
intelligent environments such as smart home and smart city. Ordinary people in their daily …

As aging populations continue to grow, primarily in developed countries, there are
increasing demands for the system that monitors the activities of elderly people while …

Recognizing the activities of daily living (ADLs) for a multi-person residence is necessary for
the provision of smart services, such as health care and behavior change support in “real …

Recent advances in Internet of Things (IoT) technologies and the reduction in the cost of
sensors have encouraged the development of smart environments, such as smart homes …

The proliferation of sensors in smart homes makes it possible to monitor human activities,
routines, and complex behaviors in an unprecedented way. Hence, human activity …

Activity recognition in smart homes required extensive machine learning methods operating
over data obtained from the sensors connected to various things at homes. However, human …

The scientific contribution of this work to address multiple global societal and economic
challenges associated with the increasing aging population is primarily two-fold. First, it …

Activities of Daily Living (ADL) are indicators for evaluating individual health, ability of
independence and daily living, and degenerative brain disease of old people. Therefore …

Human activity recognition is considered a challenging task in sensor-based monitoring
systems. In ambient intelligent environments, such as smart homes, collecting data from …