Online learning of personalised human activity recognition models from user-provided annotations
In Human Activity Recognition (HAR), supervised and semi-supervised training are important tools for devising parametric activity models. For the best modelling performance, large amounts of annotated personalised sample data are typically required. Annotating often represents the bottleneck in the...
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University of Newcastle upon Tyne
2017
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| Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.724696 |