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Extending knowledge-driven activity models through data-driven learning techniques
(Pergamon Press, Inc. Tarrytown, NY, USA, 2015-04-15)
We combine knowledge- and data-driven approaches for activity modeling.We develop a novel clustering algorithm that uses prior domain expert knowledge.A new learning algorithm to model activities from extracted clusters.We ...
A Knowledge-Driven Tool for Automatic Activity Dataset Annotation
Human activity recognition has become a very important research topic, due to its multiple applications in areas such as pervasive computing, surveillance, context-aware computing, ambient assistive living or social robotics. ...