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  • 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.
  • 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. (en)
Title
  • Kalman filter improvement for gyroscopic mouse movement smoothing
  • Kalman filter improvement for gyroscopic mouse movement smoothing (en)
skos:prefLabel
  • Kalman filter improvement for gyroscopic mouse movement smoothing
  • Kalman filter improvement for gyroscopic mouse movement smoothing (en)
skos:notation
  • RIV/00216224:14610/13:00071655!RIV14-MSM-14610___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LF13020)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 82304
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14610/13:00071655
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • gyroscope; accelerometer; Kalman filter (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [BE63E238D053]
http://linked.open...v/mistoKonaniAkce
  • Kuala Lumpur
http://linked.open...i/riv/mistoVydani
  • Kuala Lumpur
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  • IIE Int'l Proceedings of International Conference on Research in Science, Engineering and Technology
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  • Dostál, Otto
  • Slavíček, Karel
  • Sýkora, Martin
  • Schindler, Vladimír
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • International Institute of Engineers
https://schema.org/isbn
  • 9789382242475
http://localhost/t...ganizacniJednotka
  • 14610
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