Application and comparison of modified classifiers for human activity recognition

• Autorzy: Dohnálek P. , Gajdoš P. , Peterek T. , Snášel V.

Warianty tytułu

PL

Przegląd metod klasyfikacji danych używanych do rozpoznawania aktywności człowieka

• Języki publikacji: EN

Abstrakty

EN

In this paper, custom modifications of Orthogonal Matching Pursuit and Self Organizing Maps based classification algorithms are used and compared to standard and widely used classification techniques with applications to human activity recognition. Seven algorithms are compared in terms of their accuracy performance. The modifications are described in this paper and shown to perform better than commonly used classifiers. The results indicate that human activities can be successfully and reliably recognized even without data preprocessing.

W artykule opisano klasyczne i rzadziej używane metody klasyfikacji danych używanych do rozpoznawania aktywności człowieka. Po równano szereg algorytmów oraz zmodyfikowano algorytm OMP w celu usunięcia ograniczeń.

Słowa kluczowe

EN

comparison; pattern matching; classification; human activity

PL

aktywność człowieka; algorytm OMP; rozpoznawanie; klasyfikacja danych

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2013
• Tom: R. 89, nr 11
• Strony: 55--58
• Opis fizyczny: Bibliogr. 26 poz., rys., tab.

Twórcy

autor

Dohnálek P.

• VŠB - Technical University of Ostrava

autor

Gajdoš P.

• VŠB - Technical University of Ostrava

autor

Peterek T.

• VŠB - Technical University of Ostrava

autor

Snášel V.

• VŠB - Technical University of Ostrava

Bibliografia

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