Paper Info
Title
Semantic event fusion of computer vision and ambient sensor data for activity recognition to support dementia care
Abstract
Although many Ambient Intelligence frameworks either address heterogeneous ambient sensing or computer vision techniques, very limited work integrates both techniques in the scope of activity recognition in pervasive environments. This paper presents such a framework that integrates both a computer vision component and heterogeneous sensors with unanimous semantic representation and interpretation, while it also addresses challenges for realistic applications, such as fast, efficient image analysis and ontology-based temporal interpretation models. The framework is validated through an application in clinical dementia assessment yielding positive results and fruitful conclusions for the proposed semantic fusion of vision and sensor observations.
Year
DOI
Venue
2020
10.1007/s12652-016-0437-5
Journal of Ambient Intelligence and Humanized Computing
Keywords
DocType
Volume
Activity recognition, Computer vision, Sensors, Ambient intelligence, Semantic web, Ontologies, Rules, Dementia
Journal
11
Issue
ISSN
Citations 
8
1868-5145
0
PageRank 
References 
Authors
0.34
18
6
Name
Order
Citations
PageRank
Thanos G. Stavropoulos114318.07
Georgios Meditskos228434.76
S. Andreadis3149.70
Konstantinos Avgerinakis46214.10
Katerina Adam500.34
Ioannis Kompatsiaris61404197.36