Abstract
| Language | English |
|---|---|
| Pages | 410-430 |
| Journal | International Journal of Web Information Systems |
| Volume | 5 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2009 |
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Ontology-based activity recognition in intelligent pervasive environments. / Chen, Luke; Nugent, CD.
Vol. 5, No. 4, 2009, p. 410-430.Research output: Contribution to journal › Article
TY - JOUR
T1 - Ontology-based activity recognition in intelligent pervasive environments
AU - Chen, Luke
AU - Nugent, CD
PY - 2009
Y1 - 2009
N2 - This paper aims to serve two main purposes. In the first instance it aims to it provide an overview addressing the state-of-the-art in the area of activity recognition, in particular, in the area of object-based activity recognition. This will provide the necessary material to inform relevant research communities of the latest developments in this area in addition to providing a reference for researchers and system developers who ware working towards the design and development of activity-based context aware applications. In the second instance this paper introduces a novel approach to activity recognition based on the use of ontological modeling, representation and reasoning, aiming to consolidate and improve existing approaches in terms of scalability, applicability and easy-of-use.
AB - This paper aims to serve two main purposes. In the first instance it aims to it provide an overview addressing the state-of-the-art in the area of activity recognition, in particular, in the area of object-based activity recognition. This will provide the necessary material to inform relevant research communities of the latest developments in this area in addition to providing a reference for researchers and system developers who ware working towards the design and development of activity-based context aware applications. In the second instance this paper introduces a novel approach to activity recognition based on the use of ontological modeling, representation and reasoning, aiming to consolidate and improve existing approaches in terms of scalability, applicability and easy-of-use.
U2 - 10.1108/17440080911006199
DO - 10.1108/17440080911006199
M3 - Article
VL - 5
SP - 410
EP - 430
IS - 4
ER -