Photoplethysmographic biometrics: A comprehensive survey-Reference-Cited by-同舟云学术

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Photoplethysmographic biometrics: A comprehensive survey

Published:2022-04 Issue: Volume:156 Page:119-125
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Donida Labati Ruggero^ORCID,Piuri Vincenzo^ORCID,Rundo Francesco,Scotti Fabio^ORCID

Funder

Università degli Studi di Milano

European Commission

JPMorgan Chase and Company

Horizon 2020 Framework Programme

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference61 articles.

1. Keystroke dynamics authentication for mobile phones;Maiorana,2011

2. A Scheme for Fingerphoto Recognition in Smartphones;Donida Labati,2019

3. Handbook of Multibiometrics;Ross,2011

4. Advanced temporal dilated convolutional neural network for a robust car driver identification;Rundo,2021

5. A survey on heart biometrics;Rathore;ACM Comput. Surv.,2020

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1. A review: Blood pressure monitoring based on PPG and circadian rhythm;APL Bioengineering;2024-07-23

2. Stress Detection and Classification from PPG Signals Recorded in Different Conditions - Pilot Study;2024 47th International Conference on Telecommunications and Signal Processing (TSP);2024-07-10

3. Technologies for non-invasive physiological sensing: Status, challenges, and future horizons;Biosensors and Bioelectronics: X;2024-02

4. A Novel Signal Restoration Method of Noisy Photoplethysmograms for Uninterrupted Health Monitoring;Sensors;2023-12-26

5. A Novel PPG-Based Biometric Authentication System Using a Hybrid CVT-ConvMixer Architecture with Dense and Self-Attention Layers;Sensors;2023-12-19

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