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Using fuzzy logic to enhance classification of human motion primitives
Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy.
Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy.
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0001-8229-1363
Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy.
2014 (English)In: Information Processing and Management of Uncertainty in Knowledge-Based Systems: 15th International Conference, IPMU 2014, Montpellier, France, July 15-19, 2014, Proceedings, Part II / [ed] Laurent, A., Strauss, O., Bouchon-Meunier, B., Yager, R.R., Springer, 2014, 596-605 p.Chapter in book (Refereed)
Abstract [en]

The design of automated systems for the recognition of specific human activities is among the most promising research activities in Ambient Intelligence. The literature suggests the adoption of wearable devices, relying on acceleration information to model the activities of interest and distance metrics for the comparison of such models with the run-time data. Most current solutions do not explicitly model the uncertainty associated with the recognition, but rely on crisp thresholds and comparisons which introduce brittleness and inaccuracy in the system. We propose a framework for the recognition of simple activities in which recognition uncertainty is modelled using possibility distributions. We show that reasoning about this explicitly modelled uncertainty leads to a system with enhanced recognition accuracy and precision.

Place, publisher, year, edition, pages
Springer, 2014. 596-605 p.
Series
Communications in Computer and Information Science, ISSN 1865-0929 ; 443
Keyword [en]
Activity recognition; Activities of Daily Living; wearable sensors; possibility measures
National Category
Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-48016DOI: 10.1007/978-3-319-08855-6_60ISBN: 978-3-319-08854-9 (print)ISBN: 978-3-319-08855-6 (print)OAI: oai:DiVA.org:oru-48016DiVA: diva2:901048
Conference
24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), Kobe, Japan, August 31 - September 4, 2015
Available from: 2016-02-05 Created: 2016-02-05 Last updated: 2017-10-17Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
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Output format
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