Výsledky vyhledávání - "Dae Yon Hwang"

PBGAN: Learning PPG Representations From GAN for Time-Stable and Unique Verification System

Autor: Bilal Taha, Dimitrios Hatzinakos, Dae Yon Hwang

Publikováno v: IEEE Transactions on Information Forensics and Security. 16:5124-5137

Photoplethysmography (PPG) is a non-invasive physiological signal that captures the changes in blood volume resulted from heart activity. It carries unique person-specific characteristics that can be utilized for biometric systems. Currently, the use

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::df8fb411f9c489e7d7fe33d85df45482
https://doi.org/10.1109/tifs.2021.3122817

Zobrazit plný text záznamu

Evaluation of the Time Stability and Uniqueness in PPG-Based Biometric System

Autor: Dimitrios Hatzinakos, Bilal Taha, Dae Yon Hwang, Da Saem Lee

Publikováno v: IEEE Transactions on Information Forensics and Security. 16:116-130

In this work, we demonstrates the feasibility of employing the biometric photoplethysmography (PPG) signal for human verification applications. The PPG signal has dominance in terms of accessibility and portability which makes its usage in many appli

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::417767c223ecaba4c0ea3df654086634
https://doi.org/10.1109/tifs.2020.3006313

Zobrazit plný text záznamu

Hierarchical Deep Learning Model with Inertial and Physiological Sensors Fusion for Wearable-Based Human Activity Recognition

Autor: Dae Yon Hwang, Pai Chet Ng, Yuanhao Yu, Yang Wang, Petros Spachos, Dimitrios Hatzinakos, Konstantinos N. Plataniotis

Publikováno v: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cfdc270aae73f5b37975a7ff631b59fc
https://doi.org/10.1109/icassp43922.2022.9747471

Zobrazit plný text záznamu

Variation-Stable Fusion for PPG-Based Biometric System

Autor: Dimitrios Hatzinakos, Dae Yon Hwang, Bilal Taha

Publikováno v: ICASSP

This paper investigates the employment of photoplethysmography (PPG) for user authentication systems. Time-stable and user-specific features are developed by stretching the signal, designing a convolutional neural network and performing a variation-s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dae4664a63ff8154f3b2a7e028404f86
https://doi.org/10.1109/icassp39728.2021.9413906

Zobrazit plný text záznamu

A process algebraic approach to the schedulability analysis and workload abstraction of hierarchical real-time systems

Autor: Jin-Young Choi, Dae Yon Hwang, Sojin Ahn, Inhye Kang, Junkil Park, Oleg Sokolsky, Insup Lee

Publikováno v: Journal of Logical and Algebraic Methods in Programming. 92:1-18

Real-time embedded systems have increased in complexity. As microprocessors become more powerful, the software complexity of real-time embedded systems has increased steadily. The requirements for increased functionality and adaptability make the dev

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::50725406c0a694e19429434366eee4b7
https://doi.org/10.1016/j.jlamp.2017.07.001

Zobrazit plný text záznamu

PPG-based Personalized Verification System

Autor: Dimitrios Hatzinakos, Dae Yon Hwang

Publikováno v: CCECE

Convergence between online and off-line systems gives us a great chance to enrich our societies but it also requires a high secure system to verify true user from fraud. In this paper, we propose a novel deep learning-based verification model using P

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aca46915aacc097519da822509ce5ac8
https://doi.org/10.1109/ccece43985.2019.9052394

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání