Application and comparison of modified classifiers for human activity recognition

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088499" target="_blank" >RIV/61989100:27240/13:86088499 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27740/13:86088499

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Application and comparison of modified classifiers for human activity recognition

Original language description

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. Sevenalgorithms 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.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2013

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Przeglad elektrotechniczny

ISSN

0033-2097

e-ISSN

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Volume of the periodical

89

Issue of the periodical within the volume

11

Country of publishing house

PL - POLAND

Number of pages

4

Pages from-to

55-58

UT code for WoS article

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EID of the result in the Scopus database

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