Reliability of MEMS Accelerometers Embedded in Smart Mobile Devices for Robotics Applications

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dc.contributor.authorBakirci, Murat
dc.contributor.authorCetin, Mecit
dc.date.accessioned2025-03-17T12:22:44Z
dc.date.available2025-03-17T12:22:44Z
dc.date.issued2023
dc.departmentTarsus Üniversitesi
dc.descriptionInternational Conference on Computing, Intelligence and Data Analytics, ICCIDA 2022 -- 16 September 2022 through 17 September 2022 -- Kocaeli -- 291929
dc.description.abstractThis study focuses on assessing the reliability of data from the accelerometer sensors embedded in smart mobile devices that may potentially be used for robotics and intelligent transportation systems (ITS) applications. It is shown how bias and noise elimination can be executed more consistently from acceleration profiles obtained from an accelerometer with a high amount of error. In cases where accurate acceleration information could not be detected through noise filtering, averaged acceleration values in specific time windows were computed and introduced as measurement values to the filtering algorithm. Thus, more consistent acceleration profiles were obtained through making better state estimations. As an alternative to one dimensional bias elimination process, bias errors were detected in six different orientations in three dimensions and subtracted from raw readings. Furthermore, ratiometricity analysis, which is important in applications that require long-term data collection, but is generally overlooked, was also performed through collecting continuous acceleration data for twelve hours. Ratiometric error was numerically quantified and completely subtracted from the raw data through computation of slopes between specific error regions with linear variation assumption between these regions. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
dc.identifier.doi10.1007/978-3-031-27099-4_7
dc.identifier.endpage90
dc.identifier.isbn978-303127098-7
dc.identifier.issn2367-3370
dc.identifier.scopus2-s2.0-85151051440
dc.identifier.scopusqualityQ4
dc.identifier.startpage78
dc.identifier.urihttps://doi.org/10.1007/978-3-031-27099-4_7
dc.identifier.urihttps://hdl.handle.net/20.500.13099/1326
dc.identifier.volume643 LNNS
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofLecture Notes in Networks and Systems
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250316
dc.subjectAccelerometer
dc.subjectIntelligent transportation systems
dc.subjectSensor fault
dc.subjectSmart mobile device
dc.subjectUnmanned ground vehicle
dc.titleReliability of MEMS Accelerometers Embedded in Smart Mobile Devices for Robotics Applications
dc.typeConference Object

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