ECG-Based Advanced Personal Identification Study with Adjusted (Qi * Si)

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13510%2F19%3A43894612" target="_blank" >RIV/44555601:13510/19:43894612 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/8664673" target="_blank" >https://ieeexplore.ieee.org/document/8664673</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ACCESS.2019.2903575" target="_blank" >10.1109/ACCESS.2019.2903575</a>

Jazyk výsledku

angličtina

Název v původním jazyce

ECG-Based Advanced Personal Identification Study with Adjusted (Qi * Si)

Popis výsledku v původním jazyce

Although many security systems with biometric information have appeared, they only have been used the static bio-information, e.g., a fingerprint, ris, and so on. However, because these values are permanent, the attackers can modify and abuse that. To overcome this problem, many researchers would like to use dynamic bio-information, e.g., electrocardiograms (ECG), in security systems. In this case, a sensor in the system must measure the dynamic bio-information instead. The difficulty is that usually, the measured data is different whenever it measures. Therefore if the data is applied to existing algorithms, the results will not be matched and the user will be rejected to pass. This is because an unstable base point, which are Q and S values in the ECG, is used to calculate. To solve this, it suggests an adjusted (Q(i *) S-i) algorithm that defines a specific distance from the location of R-peak to obtain the Q(i) and S-i values. The algorithm can use balanced input data to determine the features, thereby enabling a highly accurate dynamic biometric system.

Název v anglickém jazyce

ECG-Based Advanced Personal Identification Study with Adjusted (Qi * Si)

Popis výsledku anglicky

Although many security systems with biometric information have appeared, they only have been used the static bio-information, e.g., a fingerprint, ris, and so on. However, because these values are permanent, the attackers can modify and abuse that. To overcome this problem, many researchers would like to use dynamic bio-information, e.g., electrocardiograms (ECG), in security systems. In this case, a sensor in the system must measure the dynamic bio-information instead. The difficulty is that usually, the measured data is different whenever it measures. Therefore if the data is applied to existing algorithms, the results will not be matched and the user will be rejected to pass. This is because an unstable base point, which are Q and S values in the ECG, is used to calculate. To solve this, it suggests an adjusted (Q(i *) S-i) algorithm that defines a specific distance from the location of R-peak to obtain the Q(i) and S-i values. The algorithm can use balanced input data to determine the features, thereby enabling a highly accurate dynamic biometric system.

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

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

IEEE Access

ISSN

2169-3536

e-ISSN

—

Svazek periodika

7

Číslo periodika v rámci svazku

7

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

7

Strana od-do

40078-40084

Kód UT WoS článku

000463942900001

EID výsledku v databázi Scopus

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