ECG Biometrics on Mobile Devices: High-Accuracy Authentication Using i-Vectors and Cepstral Coefficients
In recent years, the growing importance of personal data security has led to a rapid increase in demand for biometric authentication systems. This study proposes a biometric authentication method based on electrocardiogram (ECG) data that holds potential for use in mobile devices. The proposed appro...
Saved in:
| Main Authors: | F. Saba Kockan, Bulent Bolat |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10935332/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Voice authentication module using mel-cepstral coefficients
by: D. A. Elizarov, et al.
Published: (2024-07-01) -
Enhancement in Bearing Fault Classification Parameters Using Gaussian Mixture Models and Mel Frequency Cepstral Coefficients Features
by: Youcef ATMANI, et al.
Published: (2020-04-01) -
Fast and intelligent detection of concrete cracks based on sound signals and convolutional neural network
by: Chunlei Ge, et al.
Published: (2025-07-01) -
Automated System Using HMM for Lung Disease Recognition Based on Cough Sounds
by: Shing-Tai Pan, et al.
Published: (2025-01-01) -
Fault Diagnosis Method for Wind Turbine Blades Through the Integration of Mel-Frequency Cepstral Coefficients and Intrinsic Energy Ratio
by: HE Wei, et al.
Published: (2025-02-01)