title: A sensor and video based ontology for activity recognition in smart environments.
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.
authors.forename: D
authors.initials: D
authors.lastname: Mitchell
authors.forename: Philip J
authors.initials: PJ
authors.lastname: Morrow
authors.forename: Chris D
authors.initials: CD
authors.lastname: Nugent
mesh_terms: D000203:Activities of Daily Living; D064229:Biological Ontologies; D004777:Environment; D006801:Humans; D008991:Monitoring, Physiologic / Q000295:instrumentation; D014741:Video Recording