ECG-Based Advanced Personal Identification Study With Adjusted (Q<sub><italic>i</italic></sub> * S<sub><italic>i</italic></sub>)
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 li...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8664673/ |
| _version_ | 1830176624379691008 |
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| author | Hoon Ko Marek R. Ogiela Lidia Ogiela Libor Mesicek Myoungwon Lee Junho Choi Pankoo Kim |
| author_facet | Hoon Ko Marek R. Ogiela Lidia Ogiela Libor Mesicek Myoungwon Lee Junho Choi Pankoo Kim |
| author_sort | Hoon Ko |
| collection | DOAJ |
| description | 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<sub>i *</sub> S<sub>i</sub>) algorithm that defines a specific distance from the location of R-peak to obtain the Q<sub>i</sub> and S<sub>i</sub> values. The algorithm can use balanced input data to determine the features, thereby enabling a highly accurate dynamic biometric system. |
| first_indexed | 2024-12-17T19:10:05Z |
| format | Article |
| id | doaj.art-c1ab2f71aaf04c2a999ad99d6840bab6 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-17T19:10:05Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-c1ab2f71aaf04c2a999ad99d6840bab62022-12-21T21:35:54ZengIEEEIEEE Access2169-35362019-01-017400784008410.1109/ACCESS.2019.29035758664673ECG-Based Advanced Personal Identification Study With Adjusted (Q<sub><italic>i</italic></sub> * S<sub><italic>i</italic></sub>)Hoon Ko0https://orcid.org/0000-0002-4604-1735Marek R. Ogiela1Lidia Ogiela2Libor Mesicek3Myoungwon Lee4Junho Choi5Pankoo Kim6https://orcid.org/0000-0003-0111-5152IT Research Institute, Chosun University, Gwangju, South KoreaCryptography and Cognitive Informatics Research Group, AGH University of Science and Technology, Kraków, PolandCryptography and Cognitive Informatics Research Group, Pedagogical University of Cracow, Kraków, PolandJan Evangelista Purkyně University, Ústí nad Labem, Czech RepublicIT Research Institute, Chosun University, Gwangju, South KoreaDivision of Undeclared Majors, Chosun University, Gwangju, South KoreaDepartment of Computer Engineering, Chosun University, Gwangju, South KoreaAlthough 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<sub>i *</sub> S<sub>i</sub>) algorithm that defines a specific distance from the location of R-peak to obtain the Q<sub>i</sub> and S<sub>i</sub> values. The algorithm can use balanced input data to determine the features, thereby enabling a highly accurate dynamic biometric system.https://ieeexplore.ieee.org/document/8664673/Adjusted (Q<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">ᵢ</italic> * S<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">ᵢ</italic>)electrocardiogram (ECG)personal identificationQRS complex |
| spellingShingle | Hoon Ko Marek R. Ogiela Lidia Ogiela Libor Mesicek Myoungwon Lee Junho Choi Pankoo Kim ECG-Based Advanced Personal Identification Study With Adjusted (Q<sub><italic>i</italic></sub> * S<sub><italic>i</italic></sub>) IEEE Access Adjusted (Q<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">ᵢ</italic> * S<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">ᵢ</italic>) electrocardiogram (ECG) personal identification QRS complex |
| title | ECG-Based Advanced Personal Identification Study With Adjusted (Q<sub><italic>i</italic></sub> * S<sub><italic>i</italic></sub>) |
| title_full | ECG-Based Advanced Personal Identification Study With Adjusted (Q<sub><italic>i</italic></sub> * S<sub><italic>i</italic></sub>) |
| title_fullStr | ECG-Based Advanced Personal Identification Study With Adjusted (Q<sub><italic>i</italic></sub> * S<sub><italic>i</italic></sub>) |
| title_full_unstemmed | ECG-Based Advanced Personal Identification Study With Adjusted (Q<sub><italic>i</italic></sub> * S<sub><italic>i</italic></sub>) |
| title_short | ECG-Based Advanced Personal Identification Study With Adjusted (Q<sub><italic>i</italic></sub> * S<sub><italic>i</italic></sub>) |
| title_sort | ecg based advanced personal identification study with adjusted q sub italic i italic sub x002a s sub italic i italic sub |
| topic | Adjusted (Q<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">ᵢ</italic> * S<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">ᵢ</italic>) electrocardiogram (ECG) personal identification QRS complex |
| url | https://ieeexplore.ieee.org/document/8664673/ |
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