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Signal processing algorithms for temperauture drift in a MEMS-gyro-based head mouse
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-4947-5037
Mot Control & Vasteras AB, Angsgardsgatan 10, S-72130 Vasteras, Sweden..
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Malardalen Univ, Sch Innovat Design & Engn, Gurksaltargatan 9, S-72218 Vasteras, Sweden..ORCID iD: 0000-0003-1940-1747
2014 (English)In: 21ST INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP 2014) / [ed] Mustra, M Tralic, D Grgic, M ZovkoCihlar, B, IEEE , 2014, p. 123-126Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a comparison between different signal processing algorithms applied to a gyro-based computer head mouse for persons with movement disorders. MEMS-gyros can be used to sense the head movement and rotation. However, the measured gyro signals are influenced by noise, offset, drift and especially temperature drift. Thus, there is a need to improve the signal by signal processing algorithms. Different gyros have different characteristics and the algorithms should be useful for any selected MEMS-gyro. In this paper, three different signal processing algorithms were designed and evaluated by simulation in MATLAB and implementation in a dsPIC, with the aim to compensate for the temperature drift problem. The algorithms are high-pass filtering, Kalman algorithm and Least Mean Square (LMS) algorithm. Comparisons and system test show that these filters can be used for temperature drift compensation and the Kalman filter showed the best in the application of a MEMS-gyro-based computer head mouse.

Place, publisher, year, edition, pages
IEEE , 2014. p. 123-126
Series
International Conference on Systems Signals and Image Processing, ISSN 2157-8672
Keywords [en]
High-pass, Kalman, LMS, MEMS-gyros, signal processing
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-38403ISI: 000397392000010ISBN: 978-953-184-191-7 OAI: oai:DiVA.org:mdh-38403DiVA, id: diva2:1181650
Conference
21st International Conference on Systems, Signals and Image Processing (IWSSIP), MAY 12-14, 2014, Dubrovnik, CROATIA
Available from: 2018-02-09 Created: 2018-02-09 Last updated: 2018-02-09Bibliographically approved

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Du, JiayingLindén, Maria

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