Basic techniques for filtering noise out of accelerometer data

Kunčar, Aleš

dc.title	Basic techniques for filtering noise out of accelerometer data	en
dc.contributor.author	Kunčar, Aleš
dc.relation.ispartof	Annals of DAAAM and Proceedings of the International DAAAM Symposium
dc.identifier.issn	1726-9679 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn	978-3-902734-07-5
dc.date.issued	2015
utb.relation.volume	2015-January
dc.citation.spage	1122
dc.citation.epage	1128
dc.event.title	26th DAAAM International Symposium on Intelligent Manufacturing and Automation, DAAAM 2015
dc.event.location	Zadar
utb.event.state-en	Croatia
utb.event.state-cs	Chorvatsko
dc.event.sdate	2015-10-21
dc.event.edate	2015-10-24
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	Danube Adria Association for Automation and Manufacturing, DAAAM
dc.identifier.doi	10.2507/26th.daaam.proceedings.158
dc.relation.uri	http://doi.org/10.2507/26th.daaam.proceedings.045
dc.subject	Accelerometer	en
dc.subject	Exponential moving average	en
dc.subject	Inertial sensors	en
dc.subject	Kalman filter	en
dc.subject	Simple moving average	en
dc.description.abstract	This research paper describes the evaluation of an indoor localization system based only on commercially availabl minimized low-cost micro-electro-mechanical (MEMS) inertial sensors. The low-cost inertial sensors are ver predisposed to noise and error. In order to filter out the noise, there must be applied some filtration algorithms. So, th aim of this research paper is to compare different filtration techniques to filter the noise out of measured data. Th techniques used in this experiment were simple moving average (SMA), exponential moving average (EMA) and simpl Kalman filter (KF).	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1006763
utb.identifier.obdid	43874075
utb.identifier.scopus	2-s2.0-84987657115
utb.source	d-scopus
dc.date.accessioned	2016-12-22T16:19:07Z
dc.date.available	2016-12-22T16:19:07Z
dc.rights	Attribution-NonCommercial 4.0 International
dc.rights.uri	https://creativecommons.org/licenses/by-nc/4.0/
dc.rights.access	openAccess
utb.contributor.internalauthor	Kunčar, Aleš
utb.fulltext.affiliation	Ales Kuncar Tomas Bata University in Zlin, Faculty of Applied Informatics, Nad Stranemi 4511, Zlin 760 05, Czech Republic
utb.fulltext.dates	-
utb.fulltext.sponsorship	This work was supported by Internal Grant Agency of Tomas Bata University in Zlin under the project No. IGA/FAI/2015/012. I would like to thank my colleague Tomas Urbanek for motivation and assistance with the research.
utb.fulltext.projects	IGA/FAI/2015/012