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Hierarchical, multi-sensor based classification of daily life activities : Comparison with state-of-the-art algorithms using a benchmark dataset

Title data

Leutheuser, Heike ; Schuldhaus, Dominik ; Eskofier, Björn M.:
Hierarchical, multi-sensor based classification of daily life activities : Comparison with state-of-the-art algorithms using a benchmark dataset.
In: PLoS One. Vol. 8 (2013) Issue 10 . - e75196.
ISSN 1932-6203
DOI: https://doi.org/10.1371/journal.pone.0075196

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Ambient Assisted Living and Medical Assistance Systems > Chair Ambient Assisted Living and Medical Assistance Systems - Univ.-Prof. Dr. Heike Leutheuser
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Ambient Assisted Living and Medical Assistance Systems
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works
600 Technology, medicine, applied sciences
Date Deposited: 02 Oct 2024 09:50
Last Modified: 11 Nov 2024 08:38
URI: https://eref.uni-bayreuth.de/id/eprint/90527