ITEM METADATA RECORD
Title: Relational transformation-based tagging for human activity recognition
Authors: Landwehr, Niels ×
Gutmann, Bernd
Thon, Ingo
Philipose, Matthai
De Raedt, Luc #
Issue Date: Sep-2007
Host Document: Proceedings of the International Workshop on Knowledge Discovery from Ubiquitious Data Streams pages:83-94
Conference: International Workshop on Knowledge Discovery from Ubiquitious Data Streams location:Warsaw, Poland date:17 September 2007
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.
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Informatics Section
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
landwehrIWKDUS07.pdfMain article Published 187KbAdobe PDFView/Open

 


All items in Lirias are protected by copyright, with all rights reserved.