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Output details

11 - Computer Science and Informatics

University of Ulster

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Output 5 of 152 in the submission

Article title

A Knowledge-driven Approach to Activity Recognition in Smart Homes

Type

D - Journal article

DOI

10.1109/TKDE.2011.51

Title of journal

IEEE Transactions on Knowledge and Data Engineering

Article number

Volume number

Issue number

First page of article

961

ISSN of journal

1041-4347

Year of publication

2011

URL

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5710936&tag=1

Number of additional authors

Additional information

<12>To the best of the authors’ knowledge, this approach using domain knowledge and semantic technologies, specifically ontological modelling, representation and inference, is a new paradigm that addresses the current problems of “cold-start”, lack of applicability and scalability to enable real-time continuous activity recognition for real world scenarios. The results of the work, in particular the semantic context modelling and activity inference mechanisms, have been used as key technological enablers for the successful EU AAL PIA research proposal (Ref:AAL-2012-5-033).

Interdisciplinary

Cross-referral requested

Research group

D - Smart Environments

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract