This book consists of a number of chapters addressing different aspects
of activity recognition, roughly in three main categories of topics. The
first topic will be focused on activity modeling, representation and
reasoning using mathematical models, knowledge representation formalisms
and AI techniques. The second topic will concentrate on activity
recognition methods and algorithms. Apart from traditional methods based
on data mining and machine learning, we are particularly interested in
novel approaches, such as the ontology-based approach, that facilitate
data integration, sharing and automatic/automated processing. In the
third topic we intend to cover novel architectures and frameworks for
activity recognition, which are scalable and applicable to large scale
distributed dynamic environments. In addition, this topic will also
include the underpinning technological infrastructure, i.e. tools and
APIs, that supports function/capability sharing and reuse, and rapid
development and deployment of technological solutions. The fourth
category of topic will be dedicated to representative applications of
activity recognition in intelligent environments, which address the life
cycle of activity recognition and their use for novel functions of the
end-user systems with comprehensive implementation, prototyping and
evaluation. This will include a wide range of application scenarios,
such as smart homes, intelligent conference venues and cars.
