Sok: Authentication in augmented and virtual reality

S Stephenson, B Pal, S Fan… - … IEEE Symposium on …, 2022 - ieeexplore.ieee.org
Augmented reality (AR) and virtual reality (VR) devices are emerging as prominent
contenders to today's personal computers. As personal devices, users will use AR and VR to …

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 …

[HTML][HTML] GaitPrivacyON: Privacy-preserving mobile gait biometrics using unsupervised learning

P Delgado-Santos, R Tolosana, R Guest… - Pattern Recognition …, 2022 - Elsevier
Numerous studies in the literature have already shown the potential of biometrics on mobile
devices for authentication purposes. However, it has been shown that, the learning …

A survey on biometric recognition using wearable devices

E Maiorana - Pattern Recognition Letters, 2022 - Elsevier
Thanks to their ability to monitor physical activity and health-related parameters, wearable
devices are becoming more and more popular. In addition to what they already offer, an …

The Emerging Challenges of Wearable Biometric Cryptosystems

KA Ajlan, T Alsboui, O Alshaikh, I Inuwa-Dute, S Khan… - Cryptography, 2024 - mdpi.com
Cryptographic key generation and data encryption and decryption using wearable biometric
technologies is an emerging research area with significant potential for authentication and …

Recent Trends of Authentication Methods in Extended Reality: A Survey

L Hallal, J Rhinelander, R Venkat - Applied System Innovation, 2024 - mdpi.com
Extended Reality (XR) is increasingly gaining momentum in industries such as retail, health,
and education. To protect users' personal data, establishing a secure authentication system …

PulseID: Multi-scale photoplethysmographic identification using a deep convolutional neural network

R Wei, X Xu, Y Li, Y Zhang, J Wang, H Chen - … Signal Processing and …, 2024 - Elsevier
Photoplethysmography (PPG) signals reflect the cardiovascular health of the human body
and contain discriminate information that can be utilized as biometric traits in the personal …

Safegait: Safeguarding gait-based key generation against vision-based side channel attack using generative adversarial network

Y Wu, M Hassan, W Hu - Proceedings of the ACM on Interactive, Mobile …, 2022 - dl.acm.org
Recent works have shown that wearable or implanted devices attached at different locations
of the body can generate an identical security key from their independent measurements of …

Federated learning for biometric recognition: a survey

J Guo, H Mu, X Liu, H Ren, C Han - Artificial Intelligence Review, 2024 - Springer
Recently, deep learning (DL) has achieved great success in biometric recognition. The
application of DL has also led to a high demand for biometric data. However, as people …

[HTML][HTML] Neural integrated Markov model for effective script identification and classification in biometric system

M Shen, J Shen, L Yu - Journal of Radiation Research and Applied …, 2023 - Elsevier
Biometric scripts are required to be adaptable and robust for differentiating human input for
preventing forging. However, based on the individual biometrics system's functionality, the …