A sensor and video based ontology for activity recognition in smart environments

Author

Mitchell, David ; Morrow, Philip J. ; Nugent, Chris D.

Author_Institution

Sch. of Comput. & Inf. Eng., Univ. of Ulster, Coleraine, UK

fYear

2014

fDate

26-30 Aug. 2014

Firstpage

5932

Lastpage

5935

Abstract

Activity recognition is used in a wide range of applications including healthcare and security. In a smart environment activity recognition can be used to monitor and support the activities of a user. There have been a range of methods used in activity recognition including sensor-based approaches, vision-based approaches and ontological approaches. This paper presents a novel approach to activity recognition in a smart home environment which combines sensor and video data through an ontological framework. The ontology describes the relationships and interactions between activities, the user, objects, sensors and video data.

Keywords

health care; home automation; intelligent sensors; object recognition; ontologies (artificial intelligence); video cameras; video signal processing; activity recognition; healthcare; security; sensor based ontology; smart home environment; video based ontology; video camera; vision-based approach; Cameras; Educational institutions; Medical services; Ontologies; Smart homes; Surveillance;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1557-170X

Type

conf

DOI

10.1109/EMBC.2014.6944979

Filename

6944979