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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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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