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The discrimination of human gestures using wearable solutions is extremely important as a supporting technique for assisted living, healthcare of the elderly and neurorehabilitation. This paper presents a mobile electromyography (EMG)…

Computer Vision and Pattern Recognition · Computer Science 2019-10-25 Enea Ceolini , Gemma Taverni , Lyes Khacef , Melika Payvand , Elisa Donati

This paper is targeted in the area of biometric data enabled security system based on the machine learning for the digital health. The disadvantages of traditional authentication systems include the risks of forgetfulness, loss, and theft.…

Cryptography and Security · Computer Science 2019-12-03 Amang Song-Kyoo Kim , Chan Yeob Yeun , Paul D. Yoo

Contactless palmprints are comprised of both global and local discriminative features. Most prior work focuses on extracting global features or local features alone for palmprint matching, whereas this research introduces a novel framework…

Computer Vision and Pattern Recognition · Computer Science 2024-01-17 Steven A. Grosz , Akash Godbole , Anil K. Jain

Various methods have been proposed for authentication, including password or pattern drawing, which is clearly visible on personal electronic devices. However, these methods of authentication are more vulnerable, as passwords and cards can…

Image and Video Processing · Electrical Eng. & Systems 2021-02-11 Donya Khaledyan , Mohammad Eshghi , Morteza Heidari , Abolfazl Zargari Khuzani , Najmeh Mashhadi

Clinical laboratory tests provide essential biochemical measurements for diagnosis and treatment, but are limited by intermittent and invasive sampling. In contrast, photoplethysmogram (PPG) is a non-invasive, continuously recorded signal…

In this emerging data-driven world, secure and ubiquitous authentication mechanisms are necessary prior to any confidential information delivery. Biometric authentication has been widely adopted as it provides a unique and non-transferable…

Signal Processing · Electrical Eng. & Systems 2018-04-30 Debayan Das , Shovan Maity , Baibhab Chatterjee , Shreyas Sen

Recent studies have shown how motion-based biometrics can be used as a form of user authentication and identification without requiring any human cooperation. This category of behavioural biometrics deals with the features we learn in our…

Machine Learning · Computer Science 2021-10-08 Akriti Verma , Valeh Moghaddam , Adnan Anwar

At present spoofing attacks via which biometric system is potentially vulnerable against a fake biometric characteristic, introduces a great challenge to recognition performance. Despite the availability of a broad range of presentation…

Computer Vision and Pattern Recognition · Computer Science 2018-12-19 Avantika Singh , Gaurav Jaswal , Aditya Nigam

In order to obtain insights into the feasibility of replacing ECG-guided triggering in magnetic resonance imaging (MRI) by a system based on video photoplethysmography (PPG), PPG and ECG data were collected from volunteers in an MRI…

Signal Processing · Electrical Eng. & Systems 2023-06-19 A. C. den Brinker , H. H. Der Sarkissian , J. H. Wülbern , B. Balmaekers , M. Padalko , J. Sénégas , R. Springorum , C. Possanzini

Camera-based remote photoplethysmography (rPPG) enables contactless measurement of important physiological signals such as pulse rate (PR). However, dynamic and unconstrained subject motion introduces significant variability into the facial…

Computer Vision and Pattern Recognition · Computer Science 2024-05-02 Sam Cantrill , David Ahmedt-Aristizabal , Lars Petersson , Hanna Suominen , Mohammad Ali Armin

Photoplethysmography (PPG) is a cost-effective and non-invasive technique that utilizes optical methods to measure cardiac physiology. PPG has become increasingly popular in health monitoring and is used in various commercial and clinical…

Machine Learning · Computer Science 2024-06-13 Khuong Vo , Mostafa El-Khamy , Yoojin Choi

Remote photoplethysmography (rPPG) is an emerging contactless physiological sensing technique that leverages subtle color variations in facial videos to estimate vital signs such as heart rate and respiratory rate. This non-invasive method…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Ba-Thinh Nguyen , Thach-Ha Ngoc Pham , Hoang-Long Duc Nguyen , Thi-Duyen Ngo , Thanh-Ha Le

The growing demand for continuous physiological monitoring and human-machine interaction in real-world settings calls for wearable platforms that are flexible, low-power, and capable of on-device intelligence. This work presents…

Systems and Control · Electrical Eng. & Systems 2025-12-16 Sebastian Frey , Giusy Spacone , Andrea Cossettini , Marco Guermandi , Philipp Schilk , Luca Benini , Victor Kartsch

Gait recognition has emerged as a powerful biometric technique for identifying individuals at a distance without requiring user cooperation. Most existing methods focus primarily on RGB-derived modalities, which fall short in real-world…

Computer Vision and Pattern Recognition · Computer Science 2026-04-20 Chenye Wang , Qingyuan Cai , Saihui Hou , Aoqi Li , Yongzhen Huang

Fingerprint recognition stands as a pivotal component of biometric technology, with diverse applications from identity verification to advanced search tools. In this paper, we propose a unique method for deriving robust fingerprint…

Computer Vision and Pattern Recognition · Computer Science 2025-05-23 Ekta Gavas , Kaustubh Olpadkar , Anoop Namboodiri

Fingerprint recognition systems, which rely on the unique characteristics of human fingerprints, are essential in modern security and verification applications. Accurate minutiae extraction, a critical step in these systems, depends on the…

Computer Vision and Pattern Recognition · Computer Science 2026-03-20 Raffaele Cappelli

Diabetes is a prevalent chronic condition that compromises the health of millions of people worldwide. Minimally invasive methods are needed to prevent and control diabetes but most devices for measuring glucose levels are invasive and not…

Biometric systems involve security assurance to make our system highly secured and robust. Nowadays, biometric technology has been fixed into new systems with the aim of enforcing strong privacy and security. Several innovative system have…

Cryptography and Security · Computer Science 2022-05-24 Jones Yeboah , Victor Adewopo , Sylvia Azumah , Izunna Okpala

Remote photoplethysmography (rPPG) allows for noncontact monitoring of blood volume changes from a camera by detecting minor fluctuations in reflected light. Prior applications of rPPG focused on face videos. In this paper we explored the…

Computer Vision and Pattern Recognition · Computer Science 2023-03-23 Lu Niu , Jeremy Speth , Nathan Vance , Benjamin Sporrer , Adam Czajka , Patrick Flynn

Traditional authentication systems use alphanumeric or graphical passwords, or token-based techniques that require "something you know and something you have". The disadvantages of these systems include the risks of forgetfulness, loss, and…

Cryptography and Security · Computer Science 2019-09-25 Ebrahim Al Alkeem , Song-Kyoo Kim , Chan Yeob Yeun , M. Jamal Zemerly , Kin Poon , Paul D. Yoo