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Liczba wyników
2015 | 5 | 397--405
Tytuł artykułu

Window-Based Feature Extraction Framework for Multi-Sensor Data: A Posture Recognition Case Study

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article introduces a novel mechanism for automatic extraction of features from streams of numerical data. It was originally designed for the purpose of processing multiple streams of readings generated by sensors in coal mines. The original research was conducted on methane concentration analysis in the DISESOR project. The article demonstrates an application of the elaborated mechanism for the case of tagging short series of readings from sensors that monitor activities and movements of firefighters during the action with labels corresponding to firefighter activities. The purpose of the experiment was to assess how the automatic feature extraction and construction of classifiers (without parameters tuning and without the use of classifier ensembles) can cope with the competition's task in comparison to other participants. (original abstract)
Słowa kluczowe
PL
EN
Rocznik
Tom
5
Strony
397--405
Opis fizyczny
Twórcy
  • Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Poland
  • Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Poland
Bibliografia
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Typ dokumentu
Bibliografia
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Identyfikator YADDA
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