Pervasive and sensor-driven systems are by nature open and extensible, both in terms of
input and tasks they are required to perform. Data streams coming from sensors are …

We present iKnow, an ontology-driven framework for semantic situation understanding in
pervasive multi-sensor environments for human activity recognition. iKnow capitalises on the …

In this paper we describe MetaQ, an ontology-based hybrid framework for activity
recognition in Ambient Assisted Living (AAL) environments that combines SPARQL queries …

This paper presents DemaWare2, an Ambient Assisted Living framework to support the care
of people with dementia. The framework integrates various sensor modalities, such as …

Abstract In the Internet of Things (IoT), data-producing entities sense their environment and
transmit these observations to a data processing platform for further analysis. Applications …

According to Cisco's predictions, there will be more than 50 billions of devices connected to
the Internet by 2020. The devices and produced data are mainly exploited to build domain …

We propose a knowledge-driven activity recognition and segmentation framework
introducing the notion of context connections. Given an RDF dataset of primitive …

Abstract Although many Ambient Intelligence frameworks either address heterogeneous
ambient sensing or computer vision techniques, very limited work integrates both techniques …

Abstract Context, Context Representation and Contextual Reasoning constitute central
notions in the Ambient Intelligence vision to transform our living and working environments …

In this paper we propose an activity patterns ontology to formally represent the relationships
that drive the derivation of complex activities in terms of the activity types and temporal …