Robust Deep Identification using ECG and Multimodal Biometrics for Industrial Internet of Things

Ebrahim Al Alkeem; Chan Yeob Yeun; Jaewoong Yun; Paul D. Yoo; Myungsu Chae; Arafatur Rahman; A. Taufiq Asyhari

doi:10.1016/j.adhoc.2021.102581

Robust Deep Identification using ECG and Multimodal Biometrics for Industrial Internet of Things

Ebrahim Al Alkeem
, Chan Yeob Yeun^*
, Jaewoong Yun
, Paul D. Yoo
, Myungsu Chae
, Arafatur Rahman
, A. Taufiq Asyhari

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

55 Citations (SciVal)

Original language	English
Article number	102581
Journal	Ad Hoc Networks
Volume	121
DOIs	https://doi.org/10.1016/j.adhoc.2021.102581
Publication status	Published (VoR) - 1 Oct 2021

Funding

This work is supported in part by the Center for Cyber-Physical Systems, Khalifa University, under Grant Number 8474000137-RC1-C2PS-T3. The authors declare no conflict of interest.

Keywords

Personal identification
deep learning
electrocardiogram
face recognition
feature-level fusion
fingerprint
gender classification
multimodal biometrics

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10.1016/j.adhoc.2021.102581

Cite this

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title = "Robust Deep Identification using ECG and Multimodal Biometrics for Industrial Internet of Things",

keywords = "Personal identification, deep learning, electrocardiogram, face recognition, feature-level fusion, fingerprint, gender classification, multimodal biometrics",

author = "Alkeem, \{Ebrahim Al\} and Yeun, \{Chan Yeob\} and Jaewoong Yun and Yoo, \{Paul D.\} and Myungsu Chae and Arafatur Rahman and Asyhari, \{A. Taufiq\}",

note = "Funding Information: This work is supported in part by the Center for Cyber-Physical Systems, Khalifa University, under Grant Number 8474000137-RC1-C2PS-T3. The authors declare no conflict of interest. Publisher Copyright: {\textcopyright} 2021",

year = "2021",

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doi = "10.1016/j.adhoc.2021.102581",

language = "English",

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T1 - Robust Deep Identification using ECG and Multimodal Biometrics for Industrial Internet of Things

AU - Alkeem, Ebrahim Al

AU - Yeun, Chan Yeob

AU - Yun, Jaewoong

AU - Yoo, Paul D.

AU - Chae, Myungsu

AU - Rahman, Arafatur

AU - Asyhari, A. Taufiq

N1 - Funding Information: This work is supported in part by the Center for Cyber-Physical Systems, Khalifa University, under Grant Number 8474000137-RC1-C2PS-T3. The authors declare no conflict of interest. Publisher Copyright: © 2021

PY - 2021/10/1

Y1 - 2021/10/1

KW - Personal identification

KW - deep learning

KW - electrocardiogram

KW - face recognition

KW - feature-level fusion

KW - fingerprint

KW - gender classification

KW - multimodal biometrics

UR - https://www.scopus.com/pages/publications/85108975078

UR - https://www.scopus.com/pages/publications/85108975078#tab=citedBy

U2 - 10.1016/j.adhoc.2021.102581

DO - 10.1016/j.adhoc.2021.102581

M3 - Article

AN - SCOPUS:85108975078

SN - 1570-8705

VL - 121

JO - Ad Hoc Networks

JF - Ad Hoc Networks

M1 - 102581

ER -

Robust Deep Identification using ECG and Multimodal Biometrics for Industrial Internet of Things

Funding

Keywords

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