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Short-Term Motion Tracking Using Inexpensive Sensors

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10319165" target="_blank" >RIV/00216208:11320/15:10319165 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-27101-9_45" target="_blank" >http://dx.doi.org/10.1007/978-3-319-27101-9_45</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-27101-9_45" target="_blank" >10.1007/978-3-319-27101-9_45</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Short-Term Motion Tracking Using Inexpensive Sensors

  • Original language description

    Current consumer electronics is equipped with various sensors, among which accelerometer, gyroscope, and magnetometer represent typical examples. In this paper, we study the possibility of using these low-cost sensors for 3D motion and orientation tracking. In particular, we thoroughly describe a simple dead-reckoning algorithm for sensor data fusion which produces a 3D path of the device in real time. More importantly, we propose a method of automated stabilization every time the device stands still, which corrects the bias caused by sensor inaccuracies. This method extends the time when motion tracking is reliable. We evaluate the proposed pipeline in a variety of experiments using two common smartphones.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA15-19877S" target="_blank" >GA15-19877S: Automated Knowledge and Plan Modeling for Autonomous Robots</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ADVANCES IN ARTIFICIAL INTELLIGENCE AND ITS APPLICATIONS, MICAI 2015, PT II

  • ISBN

    978-3-319-27100-2

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    19

  • Pages from-to

    583-601

  • Publisher name

    Springer Verlag

  • Place of publication

    Berlin, Heidelberg

  • Event location

    Polytechn Univ Morelos, Cuernavaca

  • Event date

    Oct 25, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000367681400045