Title :
Anytime sport activity risk level calculation using HOSVD based hierarchical fuzzy models
Author :
Toth-Laufer, Edit ; Varkonyi-Koczy, Annamaria R.
Author_Institution :
Doctoral Sch. of Appl. Inf., Obuda Univ., Budapest, Hungary
Abstract :
In this paper a fuzzy logic-based risk calculation model is introduced, which is used to assess the risk level of sport activity in real-time. In these kinds of systems the computational complexity is a key factor, because the sufficiently accurate results should be available in time. The aim is to find the balance between the computational complexity and the accuracy. Anytime techniques are well-suited for these types of problems, because the combination of the soft computing and anytime algorithms can cope with the dynamically changing and possible insufficient amount of resources and reaction time and it is able to adaptively work with the available information which is usually imperfect or even missing. In this study the Singular Value Decomposition (SVD)-based algorithm is used to reduce the basic fuzzy model complexity.
Keywords :
computational complexity; fuzzy set theory; risk analysis; singular value decomposition; sport; HOSVD based hierarchical fuzzy models; SVD-based algorithm; anytime algorithms; anytime sport activity risk level calculation; computational complexity; fuzzy logic-based risk calculation model; fuzzy model complexity; reaction time; singular value decomposition-based algorithm; soft computing; Biomedical monitoring; Blood pressure; Computational modeling; Current measurement; Heart rate; Monitoring; Real-time systems; HOSVD; anytime; complexity reduction; fuzzy; risk calculation;
Conference_Titel :
Medical Measurements and Applications Proceedings (MeMeA), 2013 IEEE International Symposium on
Conference_Location :
Gatineau, QC
Print_ISBN :
978-1-4673-5195-9
DOI :
10.1109/MeMeA.2013.6549756