Leveraging deep learning to fingerprint spoof detectors: hitherto and futuristic perspectives

S Singh, A Selwal, D Sharma - International Journal of Pattern …, 2023 - World Scientific
Fingerprints being the most widely employed biometric trait, due to their high acceptability
and low sensing cost, have replaced the traditional methods of human authentication …

Tensor manifold discriminant projections for acceleration-based human activity recognition

Y Guo, D Tao, J Cheng, A Dougherty… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
With the rapid development of wearable sensors and pervasive computing technologies
including smartphones, acceleration-based human activity recognition is receiving …

Characterizing peaks in acceleration signals–application to physical activity detection using wearable sensors

M Abbas, RLB Jeannès - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
The world is getting older by the minute due to rising life expectancy, leading to an urgent
need for the continuous monitoring of patients. Tracking human activities without …

Power consuming activity recognition in home environment

X Liu, Q Liu - Cloud Computing and Security: Third International …, 2017 - Springer
This work proposed an activity recognition model which focus on the power consuming
activity in home environment, to help residents modify their behavior. We set the IoT system …

Метод та апаратно-програмний засіб обробки електрокардіографічних сигналів за допомогою штучних мультистабільних нейронних мереж

ДВ Чернетченко, ДВ Чернетченко - 2019 - ir.lib.vntu.edu.ua
Дисертаційна робота присвячена розробленню програмно-апаратного комплексу для
автоматизованого моніторингу ризиків виникнення серцево-судинних захворювань …

Performance analysis of different matrix decomposition methods on face recognition

HS Jagadeesh, KB Raja - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Applications using face biometric are ubiquitous in various domains. We propose an efficient
method using Discrete Wavelet Transform (DWT), Extended Directional Binary codes …

Behavioural biometrics for authentication and stress detection–a case study with children

AI Azevedo, HD Santos, VJ Sá, NV Lopes - Global Security, Safety and …, 2016 - Springer
This article presents a stress detection model based on real time collection and analysis of
physiological signals monitored by non-invasive and non-intrusive sensors. The assumption …

A Novel Face Recognition System in Unconstrained Environments Using a Convolutional Neural Network

MO Oloyede - 2018 - search.proquest.com
The performance of most face recognition systems (FRS) in unconstrained environments is
widely noted to be sub-optimal. One reason for this poor performance may be due to the lack …

Biometrias Para Autenticação e Deteção de Variações de Stress: Caso de Estudo Com População Infantil

AI da Silva Azevedo - 2016 - search.proquest.com
Today's access to Wi-Fi and 4G-LTE wireless Internet is making part of society's life. This
trend has enabled the emergence of more applications and increased the use of mobile …

Biometrias para autenticação e deteção de variações de stress: caso de estudo com população infantil

AIS Azevedo - 2016 - repositorium.uminho.pt
Atualmente o acesso à Internet sem fios através de Wi-Fi e 4G-LTE faz parte do quotidiano
da sociedade. Esta tendência possibilitou o aparecimento de mais aplicações e a crescente …