| 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. |
Další formáty:
BibTeX
LaTeX
RIS
@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.
|
