Motion capture as Data Source for Gait-based Human Identification

• Autorzy: Josiński H. , Świtoński A. , MIchalczuk A. , Wojciechowski K.

Warianty tytułu

PL

Technika motion capture jako źródło danych dla identyfikacji osób na podstawie chodu

• Języki publikacji: PL

Abstrakty

PL

Autorzy prezentują wyniki badań nad identyfikacją osób na podstawie danych chodu uzyskanych za pomocą techniki motion capture. Redukcję wymiarowości przeprowadzono stosując algorytm wieloliniowej analizy składowych głównych (MPCA), który operuje na tensorowej reprezentacji danych. Dla potrzeb identyfikacji osób zastosowano szereg metod klasyfikacji dostępnych w pakiecie WEKA uzyskując największą skuteczność dla perceptronu wielowarstwowego. (Technika motion capture jako źródło danych dla identyfikacji osób na podstawie chodu).

EN

The authors present results of the research aiming at human identification based on tensor representation of the gait motion capture data. High-dimensional tensor samples were reduced by means of the multilinear principal component analysis (MPCA). For the purpose of classification the following methods from the WEKA software were used: k Nearest Neighbors (kNN), Naive Bayes, Multilayer Perceptron, and Radial Basis Function Network. The maximum value of the correct classification rate (CCR) was achieved for the classifier based on the multilayer perceptron.

Słowa kluczowe

PL

redukcja wymiarowości; algorytm MPCA; ekstrakcja cech; klasyfikacja danych chodu

EN

dimensionality reduction; MPCA algorithm; feature extraction; gait data classification

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 12b
• Strony: 201--204
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Josiński H.

autor

Świtoński A.

autor

MIchalczuk A.

autor

Wojciechowski K.

• Politechnika Śląska, Instytut Informatyki,

Bibliografia

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