Wireless accelerometer sensor data filtering using Recursive Least Squares adaptive filter

Saman Shafigh, Tanveer Zia, Nesa Mouzehkesh Pirborj

Research output: Book chapter/Published conference paperConference paperpeer-review

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Abstract

One of the applications of wireless accelerometer sensors is to monitor the human body motion and orientation. Such applications range from medical observations, diagnostics and fall detection to game console and entertainment. In typical wireless accelerometer sensors the received data is affected by the nonlinear environmental noises leading to a decreased resolution and the accuracy of received data. In this paper, a Recursive Least Squares (RLS) adaptive filter is used to filter the three-axial wireless accelerometer sensor received data. We used the Shimmer 9DOF wireless sensor placed on a robotic arm which is created toperform a precise 3D movement and is controlled by a PC. In the proposed RLS filter the input data is defined by the Shimmer acceleration data and the desired data is defined by the robotic arm orientation. The obtained results from running the RSL filter on the wireless acceleration sensor data shows a reasonable accuracy compared to the unfiltered data.
Original languageEnglish
Title of host publicationProceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing
EditorsM. Palaniswami
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages66-70
Number of pages5
ISBN (Electronic)9781467354998
DOIs
Publication statusPublished - 2013
Event2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing - University of Melbourne, Melbourne, Australia
Duration: 02 Apr 201305 Apr 2013
https://web.archive.org/web/20130207041834/http://www.issnip.org:80/2013/index.html (Archived page)

Conference

Conference2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing
CountryAustralia
CityMelbourne
Period02/04/1305/04/13
Internet address

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