Personal identification study for touchable devices with ECG

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13510%2F20%3A43894997" target="_blank" >RIV/44555601:13510/20:43894997 - isvavai.cz</a>

Výsledek na webu

<a href="https://onlinelibrary.wiley.com/doi/epdf/10.1002/cpe.5169" target="_blank" >https://onlinelibrary.wiley.com/doi/epdf/10.1002/cpe.5169</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/cpe.5169" target="_blank" >10.1002/cpe.5169</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Personal identification study for touchable devices with ECG

Popis výsledku v původním jazyce

Each person has unique bio-information, and this information rarely would be overlapped to other people. Because of this feature, many researchers have been working on a user&apos;s identification. However, the problem is that it is not certain if the feature is exactly matched at any time and in any place for the dynamic signal. It is very hard to match bio-information whenever it is measured; however, all natural signals have an individual pattern. In this paper, it uses an ECG (electrocardiogram) as bio-information, and it tries to find each pattern, which will be located within the threshold. With the pattern in the threshold, it detects the user&apos;s identification. To analyze the patterns, it analyzes them as measured for 120 seconds. Next, it divides them every 1-2 seconds to 5 seconds. Then, it could recognize the users&apos; identification with this study, and then, finally, the accuracy is 83.3618%.

Název v anglickém jazyce

Personal identification study for touchable devices with ECG

Popis výsledku anglicky

Each person has unique bio-information, and this information rarely would be overlapped to other people. Because of this feature, many researchers have been working on a user&apos;s identification. However, the problem is that it is not certain if the feature is exactly matched at any time and in any place for the dynamic signal. It is very hard to match bio-information whenever it is measured; however, all natural signals have an individual pattern. In this paper, it uses an ECG (electrocardiogram) as bio-information, and it tries to find each pattern, which will be located within the threshold. With the pattern in the threshold, it detects the user&apos;s identification. To analyze the patterns, it analyzes them as measured for 120 seconds. Next, it divides them every 1-2 seconds to 5 seconds. Then, it could recognize the users&apos; identification with this study, and then, finally, the accuracy is 83.3618%.

Druh

J_imp - 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)

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Concurrency and Computation: Practice and Experience

ISSN

1532-0626

e-ISSN

—

Svazek periodika

32

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

1-8

Kód UT WoS článku

000528674400008

EID výsledku v databázi Scopus

2-s2.0-85061441938