Human activity recognition has the potential to become a real enabler for ambient assisted
living technologies. Research on this area demands the execution of complex experiments …

Evaluating human activity recognition systems usually implies following expensive and time-
consuming methodologies, where experiments with humans are run with the consequent …

Automated Human Activity Recognition (HAR) is a crucial technology for Ambient Assisted
Living applications (AAL), which uses sensor data to detect and recognize human activities …

Automated understanding and recognition of human activities and behaviors in a smart
space (eg, smart house) is of paramount importance to many critical human-centered …

Smart Homes technologies development is oriented toward intelligent services for the
dweller. Designing the Artificial Intelligence which plays behind the scenes in a Smart Home …

Abstract In Ambient Assisted Living (AAL), Activity Recognition (AR) plays a crucial role in
filling the semantic gap between sensor data and interpretation needed at the application …

User activity monitoring is a major problem in ambient assisted living, since it requires to
infer new knowledge from collected and fused sensor data while dealing with highly …

Ubiquitous computing presents nowadays a new paradigm of computation where computers
are embedded into the everyday environment. The vanishing of computers in the …

Our core interest is the development of autonomous and socially interactive robots that may
support elderly users at home as part of a smart home, ie a home equipped with a sensor …

Simulation of human activities in smart spaces is becoming increasingly important due to the
growing demands on datasets that captures user-technology interactions. Such datasets are …