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  • This paper refers to the classificators which were created to serve the purpose of the classification of a motion in space, a motion of one part of the human body (a thumb in this case). Furthermore, the way of filming of the video recordings, which follow the motion of the thumb, the pre-processing of these recordings and the subsequent parametrization have been briefly mentioned. Two groups of classificators have been created, unsupervised and supervised. The unsupervised classificators use the K-Means algorithm and were used only for labeling training data, therefore they will not be discussed in this paper. The supervised classificators are based on the use of Hidden Markov Models. Several classificators of diverse complexity have been created for the purpose of verification of their functionality and quality.
  • This paper refers to the classificators which were created to serve the purpose of the classification of a motion in space, a motion of one part of the human body (a thumb in this case). Furthermore, the way of filming of the video recordings, which follow the motion of the thumb, the pre-processing of these recordings and the subsequent parametrization have been briefly mentioned. Two groups of classificators have been created, unsupervised and supervised. The unsupervised classificators use the K-Means algorithm and were used only for labeling training data, therefore they will not be discussed in this paper. The supervised classificators are based on the use of Hidden Markov Models. Several classificators of diverse complexity have been created for the purpose of verification of their functionality and quality. (en)
  • Tento článek popisuje klasifikátory vytvořené za účelem klasifikace pohybu části lidského těla v prostoru (palce u ruky konkrétně). Dále byl stručně popsán způsob snímání pohybů, zpracování a následná parametrizace. Byly vytvořeny dvě skupiny klasifikátorů - s učitelem a bez učitele. Klasifikátory bez učitele používaly K-Means algoritmus a byly použity pouze pro přípravu trénovacích dat, proto jsou popsány pouze stručně. Klasifikátory s učitelem používají skrytých markovovských modelů. Bylo vytvořeno několik klasifikátorů různé složitosti za účelem ověření jejich funkčnosti a úspěšnosti klasifikace. (cs)
Title
  • Human Body Movements Classification
  • Human Body Movements Classification (en)
  • Klasifikace pohybů lidského těla (cs)
skos:prefLabel
  • Human Body Movements Classification
  • Human Body Movements Classification (en)
  • Klasifikace pohybů lidského těla (cs)
skos:notation
  • RIV/68407700:21230/07:03129447!RIV08-MSM-21230___
http://linked.open.../vavai/riv/strany
  • 326;329
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 424953
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/07:03129447
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Hidden Markov Models; Movement Classification; Signal Processing; Supervised Learning (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [D95EF27F8AAE]
http://linked.open...v/mistoKonaniAkce
  • Innsbruck
http://linked.open...i/riv/mistoVydani
  • Calgary
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the Fifth IASTED International Conference on Biomedical Engineering
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Havlík, Jan
  • Hanžl, Václav
  • Hlaváček, Antonín
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • IASTED
https://schema.org/isbn
  • 978-0-88986-649-2
http://localhost/t...ganizacniJednotka
  • 21230
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