Now showing items 1-3 of 3
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. ...
Combining Users' Activity Survey and Simulators to Evaluate Human Activity Recognition Systems
Evaluating human activity recognition systems usually implies following expensive and time-consuming methodologies,where experiments with humans are run with the consequent ethical and legal issues. We propose a novel ...