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Comparison of data from smartphones and specialised devices

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU127719" target="_blank" >RIV/00216305:26220/18:PU127719 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.feec.vutbr.cz/EEICT/archiv/sborniky/EEICT_2018_sbornik.pdf" target="_blank" >http://www.feec.vutbr.cz/EEICT/archiv/sborniky/EEICT_2018_sbornik.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    čeština

  • Original language name

    Comparison of data from smartphones and specialised devices

  • Original language description

    The aim of this study is to introduce two algorithms for physical activity recognition and to compare various devices such as smartphones and specialized devices using these algorithms. Signals are recorded using smartphones and accelerometer Axivity AX3. In the first part of the report, classification algorithms are described. In the second part algorithms are tested using recorded signals and the last part provides comparison of above mentioned tested devices.

  • Czech name

    Comparison of data from smartphones and specialised devices

  • Czech description

    The aim of this study is to introduce two algorithms for physical activity recognition and to compare various devices such as smartphones and specialized devices using these algorithms. Signals are recorded using smartphones and accelerometer Axivity AX3. In the first part of the report, classification algorithms are described. In the second part algorithms are tested using recorded signals and the last part provides comparison of above mentioned tested devices.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20601 - Medical engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 24th Conference STUDENT EEICT 2018

  • ISBN

    978-80-214-5614-3

  • ISSN

  • e-ISSN

  • Number of pages

    3

  • Pages from-to

    28-30

  • Publisher name

    Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Apr 26, 2018

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article