Appropriateness of Gait Analysis for Biometrics: Initial Study Using FDA Method
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A43875637" target="_blank" >RIV/70883521:28140/17:43875637 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/61989592:15310/17:73586126
Výsledek na webu
<a href="http://www.sciencedirect.com/science/article/pii/S0263224117302105" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0263224117302105</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.measurement.2017.03.042" target="_blank" >10.1016/j.measurement.2017.03.042</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Appropriateness of Gait Analysis for Biometrics: Initial Study Using FDA Method
Popis výsledku v původním jazyce
Human body movement has been under continuous research for many years due to its potential application as a novel biometric system to identify individuals. It is possible to utilize various techniques, not only to obtain requested movement data, but also to analyse movement data. This paper uses functional data analysis on data obtained from 12 volunteers and uses 20 markers from the 3D motion capture system VICON MX T020. The functional data analysis was chosen as a suitable tool to obtain more information about an individual's movement because it uses a technique for real-time data, which corresponds to continuous time process. The results show that all markers, under any walking speed and condition, identify a significantly high percentage of individual pairs. Further, our results discriminate between markers, where some markers are highly dependent on walking speed and condition, and also on the influence of body part asymmetry. In addition, regular movement patterns in almost all participants' data shows a potential to identify individuals based on gait recognition with a 1:1 matching result.
Název v anglickém jazyce
Appropriateness of Gait Analysis for Biometrics: Initial Study Using FDA Method
Popis výsledku anglicky
Human body movement has been under continuous research for many years due to its potential application as a novel biometric system to identify individuals. It is possible to utilize various techniques, not only to obtain requested movement data, but also to analyse movement data. This paper uses functional data analysis on data obtained from 12 volunteers and uses 20 markers from the 3D motion capture system VICON MX T020. The functional data analysis was chosen as a suitable tool to obtain more information about an individual's movement because it uses a technique for real-time data, which corresponds to continuous time process. The results show that all markers, under any walking speed and condition, identify a significantly high percentage of individual pairs. Further, our results discriminate between markers, where some markers are highly dependent on walking speed and condition, and also on the influence of body part asymmetry. In addition, regular movement patterns in almost all participants' data shows a potential to identify individuals based on gait recognition with a 1:1 matching result.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Measurement
ISSN
0263-2241
e-ISSN
—
Svazek periodika
2017
Číslo periodika v rámci svazku
105
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
10
Strana od-do
1-10
Kód UT WoS článku
000401378400001
EID výsledku v databázi Scopus
2-s2.0-85017186201