Kalman filter improvement for gyroscopic mouse movement smoothing

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F13%3A00071655" target="_blank" >RIV/00216224:14610/13:00071655 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Kalman filter improvement for gyroscopic mouse movement smoothing
Original language description
The Kalman filter is formally an algorithm used to produce estimation of a random variable based on measurement containing noise observed over time. This paper discusses Kalman filter capabilities to smooth noisy data obtained from electro-mechanical gyroscopes and accelerometers. Data produced by the sensor unit contain two types of noise: noise induced by the electronic (both properties of the electro-mechanical nature of the electronic and noise introduced by digitization) and noise induced by humani.e., noise caused by shivering of human hand. The goal is to smooth the data produced by sensor unit movement to make human gestures more distinguishable. Optimal design and slight modification of the Kalman algorithm is discussed in this paper.
Czech name
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Czech description
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Project
<a href="/en/project/LF13020" target="_blank" >LF13020: Utilisation of sensors and microcomputers installed on a person</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
IIE Int'l Proceedings of International Conference on Research in Science, Engineering and Technology
ISBN
9789382242475
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
43-48
Publisher name
International Institute of Engineers
Place of publication
Kuala Lumpur
Event location
Kuala Lumpur
Event date
Nov 13, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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