Recent work demonstrates the potential for extracting patterns from users' behavior as
detected by sensors. Since there is currently no generalized framework for reasoning about …

There are various activity recognition approaches that rely on manual definition of
precondition-effect rules to describe user behaviour. These rules are later used to generate …

An important research topic in artificial intelligence is automatic sensing and inferencing of
contextual information, which is used to build computer models of the user's activity. One …

Context-aware and activity-aware computing has been proposed as a way to adapt the
computer to the user's ongoing activity. However, deductively moving from physical context …

The design of pervasive and ubiquitous computing systems must be centered on users'
activity in order to bring computing systems closer to people. The adoption of an activity …

One the best qualitative and quantitative tools that elder–care specialists have to monitor the
health of elderly individuals is Activity of Daily Living (ADL) tracking [1, 2]. By watching the …

In principle, activity recognition can be exploited to great societal benefits, especially in real-
life, human centric applications such as elder care and healthcare. This article focused on …

In this article, we introduce activity-aware computing, which uses activity-based computing to
enhance pervasive environments in two ways: to help users associate resources and …

This book represents the proceedings of the second edition of the Activity and Behavior
Computing conference (ABC'2020), which will be held in a virtual format (and partially on …

Minimizing user interaction context-aware computing Page 1 20 PERVASIVE computing
Published by the IEEE CS ■ 1536-1268/08/$25.00 © 2008 IEEE Guest editors’ introduction …