A soft computing-based hierarchical sport activity risk level calculation model for supporting home exercises

Edit Tóth-Laufer, A. Várkonyi-Kóczy

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

With the spread of active styles of living, regular health monitoring and risk estimation of exercises became an essential part of everyday life. In this paper, a fuzzy logic-based hierarchical, classified risk calculation model is introduced, which can be used to assess the risk level of sport activity in realtime. The model considers the current physical status and the preliminary assessed medical conditions of the person, the activity load of the exercise, as well as the environmental conditions. Based on this information, a hierarchical fuzzy decision making system evaluates the risk level and sends warning (to the person to stop the activity) or alerting (to a medical doctor/hospital) or both if necessary. By this, serious health problems/crisis situations can be avoided. The complexity of the model is optimized by the application of the singular value decomposition-based complexity reduction algorithm. In critical situations [when the available (dynamically changing) amount of time, resources, and data become insufficient], the anytime mode of operation helps to cope with the temporal conditions and to find a tradeoff between the computational complexity of the evaluations and the accuracy of the results. The system can be operated real-time at home, thus making more comfortable and safer the active (preventive) life and rehabilitation processes of conscious people.

Original languageEnglish
Article number6725620
Pages (from-to)1400-1411
Number of pages12
JournalIEEE Transactions on Instrumentation and Measurement
Volume63
Issue number6
DOIs
Publication statusPublished - 2014

Fingerprint

Soft computing
physical exercise
Sports
health
warning
decision making
tradeoffs
Singular value decomposition
Medical problems
Patient rehabilitation
Fuzzy logic
logic
Computational complexity
resources
Decision making
Health
decomposition
Monitoring
evaluation

Keywords

  • Anytime operation
  • Complexity reduction
  • Fuzzy modeling
  • Health monitoring
  • Higher order singular value decomposition (HOSVD)
  • Risk calculation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Instrumentation

Cite this

A soft computing-based hierarchical sport activity risk level calculation model for supporting home exercises. / Tóth-Laufer, Edit; Várkonyi-Kóczy, A.

In: IEEE Transactions on Instrumentation and Measurement, Vol. 63, No. 6, 6725620, 2014, p. 1400-1411.

Research output: Contribution to journalArticle

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