Kalman filter improvement for gyroscopic mouse movement
smoothing

D 2013

Kalman filter improvement for gyroscopic mouse movement smoothing

SLAVÍČEK, Karel, Vladimír SCHINDLER, Otto DOSTÁL a Martin SÝKORA

Základní údaje

Originální název

Kalman filter improvement for gyroscopic mouse movement smoothing

Autoři

SLAVÍČEK, Karel (203 Česká republika, garant, domácí), Vladimír SCHINDLER (203 Česká republika), Otto DOSTÁL (203 Česká republika, domácí) a Martin SÝKORA (203 Česká republika)

Vydání

Kuala Lumpur, IIE Int'l Proceedings of International Conference on Research in Science, Engineering and Technology, od s. 43-48, 6 s. 2013

Nakladatel

International Institute of Engineers

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

20201 Electrical and electronic engineering

Stát vydavatele

Malajsie

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Kód RIV

RIV/00216224:14610/13:00071655

Organizační jednotka

Ústav výpočetní techniky

ISBN

978-93-82242-47-5

Klíčová slova anglicky

gyroscope; accelerometer; Kalman filter

Štítky

rivok

Změněno: 1. 4. 2014 09:55, doc. Mgr. Karel Slavíček, Ph.D.

Anotace

V originále

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 human i.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.

Návaznosti

LF13020, projekt VaV

Název: Využití senzorů a mikropočítačů instalovaných na osobě

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Využití senzorů a mikropočítačů instalovaných na osobě (LW II)

Citovat

SLAVÍČEK, Karel, Vladimír SCHINDLER, Otto DOSTÁL a Martin SÝKORA. Kalman filter improvement for gyroscopic mouse movement smoothing. In Z. Thaweesak, P.S. Sandhu. IIE Int'l Proceedings of International Conference on Research in Science, Engineering and Technology. Kuala Lumpur: International Institute of Engineers, 2013, s. 43-48. ISBN 978-93-82242-47-5.

@inproceedings{1162058,
   author = {Slavíček, Karel and Schindler, Vladimír and Dostál, Otto and Sýkora, Martin},
   address = {Kuala Lumpur},
   booktitle = {IIE Int'l Proceedings of International Conference on Research in Science, Engineering and Technology},
   editor = {Z. Thaweesak, P.S. Sandhu},
   keywords = {gyroscope; accelerometer; Kalman filter},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Kuala Lumpur},
   isbn = {978-93-82242-47-5},
   pages = {43-48},
   publisher = {International Institute of Engineers},
   title = {Kalman filter improvement for gyroscopic mouse movement smoothing},
   year = {2013}
}

TY  - JOUR
ID  - 1162058
AU  - Slavíček, Karel - Schindler, Vladimír - Dostál, Otto - Sýkora, Martin
PY  - 2013
TI  - Kalman filter improvement for gyroscopic mouse movement smoothing
PB  - International Institute of Engineers
CY  - Kuala Lumpur
SN  - 9789382242475
KW  - gyroscope
KW  - accelerometer
KW  - Kalman filter
N2  - 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 human i.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.
ER  -

SLAVÍČEK, Karel, Vladimír SCHINDLER, Otto DOSTÁL a Martin SÝKORA. Kalman filter improvement for gyroscopic mouse movement smoothing. In Z. Thaweesak, P.S. Sandhu. \textit{IIE Int'l Proceedings of International Conference on Research in Science, Engineering and Technology}. Kuala Lumpur: International Institute of Engineers, 2013, s.~43-48. ISBN~978-93-82242-47-5.

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