Basic Techniques for Filtering Noise Out of Accelerometer Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F15%3A43873634" target="_blank" >RIV/70883521:28140/15:43873634 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Basic Techniques for Filtering Noise Out of Accelerometer Data
Original language description
This research paper describes the evaluation of an indoor localization system based only on commercially available minimized low-cost micro-electro-mechanical (MEMS) inertial sensors. The low-cost inertial sensors are very predisposed to noise and error.In order to filter out the noise, there must be applied some filtration algorithms. So, the aim of this research paper is to compare different filtration techniques to filter the noise out of measured data. The techniques used in this experiment were simple moving average (SMA), exponential moving average (EMA) and simple Kalman filter (KF).
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
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Continuities
S - Specificky vyzkum na vysokych skolach
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
Annals of DAAAM International for 2015, Volume 26
ISBN
978-3-902734-06-8
ISSN
2304-1382
e-ISSN
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Number of pages
7
Pages from-to
1-7
Publisher name
DAAAM International Vienna
Place of publication
Vienna
Event location
Zadar
Event date
Oct 21, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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