%0 Journal Article %1 Landwehr2009 %A Landwehr, Niels %A Gutmann, Bernd %A Thon, Ingo %A Raedt, Luc De %A Philipose, Matthai %C Amsterdam, The Netherlands, The Netherlands %D 2009 %I IOS Press %J Fundamenta Informaticae %K imported %N 1 %P 111--129 %T Relational Transformation-based Tagging for Activity Recognition %V 89 %X The ability to recognize human activities from sensory information is essential for developing the next generation of smart devices. Many human activity recognition tasks are — from a machine learning perspective — quite similar to tagging tasks in natural language processing. Motivated by this similarity, we develop a relational transformation-based tagging system based on inductive logic programming principles, which is able to cope with expressive relational representations as well as a background theory. The approach is experimentally evaluated on two activity recognition tasks and compared to Hidden Markov Models, one of the most popular and successful approaches for tagging.

@article{Landwehr2009, abstract = {The ability to recognize human activities from sensory information is essential for developing the next generation of smart devices. Many human activity recognition tasks are — from a machine learning perspective — quite similar to tagging tasks in natural language processing. Motivated by this similarity, we develop a relational transformation-based tagging system based on inductive logic programming principles, which is able to cope with expressive relational representations as well as a background theory. The approach is experimentally evaluated on two activity recognition tasks and compared to Hidden Markov Models, one of the most popular and successful approaches for tagging.}, added-at = {2009-07-17T08:22:22.000+0200}, address = {Amsterdam, The Netherlands, The Netherlands}, author = {Landwehr, Niels and Gutmann, Bernd and Thon, Ingo and Raedt, Luc De and Philipose, Matthai}, biburl = {https://www.bibsonomy.org/bibtex/23e6be80b80802c8d04897c8c7b70492d/aihec}, interhash = {a9b9338a7155d3563be8bb06f3e8c418}, intrahash = {3e6be80b80802c8d04897c8c7b70492d}, issn = {0169-2968}, journal = {Fundamenta Informaticae}, keywords = {imported}, number = 1, owner = {Clifton Phua}, pages = {111--129}, publisher = {IOS Press}, timestamp = {2009-07-17T08:22:22.000+0200}, title = {Relational Transformation-based Tagging for Activity Recognition}, volume = 89, year = 2009 }