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Statements

Subject Item
n2:RIV%2F00216224%3A14510%2F11%3A00073204%21RIV15-MV0-14510___
rdf:type
n17:Vysledek skos:Concept
dcterms: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.
dcterms:title
Distance-Time Dependencies of Spatial Coordinates for Gait Recognition Distance-Time Dependencies of Spatial Coordinates for Gait Recognition
skos:prefLabel
Distance-Time Dependencies of Spatial Coordinates for Gait Recognition Distance-Time Dependencies of Spatial Coordinates for Gait Recognition
skos:notation
RIV/00216224:14510/11:00073204!RIV15-MV0-14510___
n3:aktivita
n12:S n12:P
n3:aktivity
P(VF20102014004), S
n3:cisloPeriodika
3
n3:dodaniDat
n4:2015
n3:domaciTvurceVysledku
n5:4512618 n5:5763835 n5:2360780
n3:druhVysledku
n10:J
n3:duvernostUdaju
n7:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
194888
n3:idVysledku
RIV/00216224:14510/11:00073204
n3:jazykVysledku
n14:eng
n3:klicovaSlova
Gait recognition; MUFIN; kinematic analysis; SIMI
n3:klicoveSlovo
n6:MUFIN n6:SIMI n6:kinematic%20analysis n6:Gait%20recognition
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[91C54617963A]
n3:nazevZdroje
Studia Sportiva
n3:obor
n15:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n18:VF20102014004
n3:rokUplatneniVysledku
n4:2011
n3:svazekPeriodika
5
n3:tvurceVysledku
Sedmidubský, Jan Sebera, Martin Zvonař, Martin
s:issn
1802-7679
s:numberOfPages
7
n9:organizacniJednotka
14510