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Description
  • We introduced a method of identifying people by their typical aspects of walking. We created a data representation for the MUFIN system. We have also developed a feature metrics for assessing the similarity of two data representations. To improve the gait recognition algorithm, it will be necessary to take further steps, including the following in particular: To enhance accuracy of extraction of gait patterns. To normalize extracted gait patterns in terms of the same length and starting phase. To represent a gait pattern by more than two curves. To represent a gait pattern by other specification not only from distance-time dependency graphs but also other – velocity, acceleration or pressure distribution measuring. To measure the larger number of people in laboratory conditions and also in real situations.
  • We introduced a method of identifying people by their typical aspects of walking. We created a data representation for the MUFIN system. We have also developed a feature metrics for assessing the similarity of two data representations. To improve the gait recognition algorithm, it will be necessary to take further steps, including the following in particular: To enhance accuracy of extraction of gait patterns. To normalize extracted gait patterns in terms of the same length and starting phase. To represent a gait pattern by more than two curves. To represent a gait pattern by other specification not only from distance-time dependency graphs but also other – velocity, acceleration or pressure distribution measuring. To measure the larger number of people in laboratory conditions and also in real situations. (en)
Title
  • Distance-Time Dependencies of Spatial Coordinates for Gait Recognition
  • Distance-Time Dependencies of Spatial Coordinates for Gait Recognition (en)
skos:prefLabel
  • Distance-Time Dependencies of Spatial Coordinates for Gait Recognition
  • Distance-Time Dependencies of Spatial Coordinates for Gait Recognition (en)
skos:notation
  • RIV/00216224:14510/11:00073204!RIV15-MV0-14510___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(VF20102014004), S
http://linked.open...iv/cisloPeriodika
  • 3
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
  • 194888
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14510/11:00073204
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Gait recognition; MUFIN; kinematic analysis; SIMI (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [91C54617963A]
http://linked.open...i/riv/nazevZdroje
  • Studia Sportiva
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 5
http://linked.open...iv/tvurceVysledku
  • Sebera, Martin
  • Zvonař, Martin
  • Sedmidubský, Jan
issn
  • 1802-7679
number of pages
http://localhost/t...ganizacniJednotka
  • 14510
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