Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review

A Parashar, A Parashar, W Ding, RS Shekhawat… - Artificial Intelligence …, 2023 - Springer
This paper presents a comprehensive exposition of deep learning architectures and
pipelines for biometric applications using complex characteristics of human gait. The variety …

[HTML][HTML] Using machine learning for dynamic authentication in telehealth: A tutorial

M Hazratifard, F Gebali, M Mamun - Sensors, 2022 - mdpi.com
Telehealth systems have evolved into more prevalent services that can serve people in
remote locations and at their homes via smart devices and 5G systems. Protecting the …

Deep learning approaches for continuous authentication based on activity patterns using mobile sensing

S Mekruksavanich, A Jitpattanakul - Sensors, 2021 - mdpi.com
Smartphones as ubiquitous gadgets are rapidly becoming more intelligent and context-
aware as sensing, networking, and processing capabilities advance. These devices provide …

Real-time gait biometrics for surveillance applications: A review

A Parashar, A Parashar, AF Abate… - Image and Vision …, 2023 - Elsevier
Deep learning (DL) pipelines have evolved for over a decade now and are efficient at
solving many challenging problems of image and signal processing applications. Designing …

Advancements in artificial intelligence for biometrics: a deep dive into model-based gait recognition techniques

A Parashar, A Parashar, M Shabaz, D Gupta… - … Applications of Artificial …, 2024 - Elsevier
Over the past decade, Deep Learning (DL) pipelines have undergone significant evolution
and demonstrated effectiveness in addressing complex challenges within artificial …

Emotion recognition from gait analyses: Current research and future directions

S Xu, J Fang, X Hu, E Ngai, W Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Human gait refers to a daily motion that represents not only mobility but can also be used to
identify the walker by either human observers or computers. Recent studies reveal that gait …

Adaptive deep feature fusion for continuous authentication with data augmentation

Y Li, L Liu, H Qin, S Deng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile devices are becoming increasingly popular and are playing significant roles in our
daily lives. Insufficient security and weak protection mechanisms, however, cause serious …

BudsAuth: Towards Gesture-Wise Continuous User Authentication Through Earbuds Vibration Sensing

Y Wang, T Yang, C Wang, F Li, P Hu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The surge in popularity of wireless headphones, particularly wireless earbuds, as smart
wearables, has been notable in recent years. These devices, empowered by artificial …

A comprehensive review on secure biometric-based continuous authentication and user profiling

S Ayeswarya, KJ Singh - IEEE Access, 2024 - ieeexplore.ieee.org
Authentication systems are pivotal in fortifying security measures against unauthorized
access. Yet, they often fall short of effectively combating impersonation attacks, leaving …

[HTML][HTML] Real-time machine learning for human activities recognition based on wrist-worn wearable devices

AI Alexan, AR Alexan, S Oniga - Applied Sciences, 2023 - mdpi.com
Wearable technologies have slowly invaded our lives and can easily help with our day-to-
day tasks. One area where wearable devices can shine is in human activity recognition, as …