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Attributing Recognised Activities in Multi-Person Households Using Ontology-Based Finite State Machines
2017
International Semantic Web Conference
Continuous person monitoring systems usually assume singleperson households. Presence of visitors, such as family members and friends, and multi-person households are therefore not taken into consideration, although they can still influence results. However, in order to reason about a specific monitored person's evolution and trends, it is needed to accurately recognise the different activities that these persons perform throughout a day. This paper considers multi-person households and focuses
dblp:conf/semweb/VerstichelTNGTO17
fatcat:avwxiiifonf5bopkk6osbmegni