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 …

Physical security and safety of IoT equipment: A survey of recent advances and opportunities

X Yang, L Shu, Y Liu, GP Hancke… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The connectivity and intelligence of Internet of Things (IoT) equipment offer improved
services, but several technical challenges have emerged in recent years that hinder 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 …

Comprehensive survey: Biometric user authentication application, evaluation, and discussion

R Alrawili, AAS AlQahtani, MK Khan - Computers and Electrical …, 2024 - Elsevier
In this paper, we present a comprehensive review of the literature on biometric user
authentication, encompassing an analysis of key aspects such as the selection of biometric …

Recent advances in anomaly detection in Internet of Things: Status, challenges, and perspectives

D Adhikari, W Jiang, J Zhan, DB Rawat… - Computer Science …, 2024 - Elsevier
This paper provides a comprehensive survey of anomaly detection for the Internet of Things
(IoT). Anomaly detection poses numerous challenges in IoT, with broad applications …

A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods

F Abdullakutty, E Elyan, P Johnston - Information fusion, 2021 - Elsevier
Face Recognition is considered one of the most common biometric solutions these days and
is widely used across a range of devices for various security purposes. The performance of …

Continuous emotion recognition for long-term behavior modeling through recurrent neural networks

I Kansizoglou, E Misirlis, K Tsintotas, A Gasteratos - Technologies, 2022 - mdpi.com
One's internal state is mainly communicated through nonverbal cues, such as facial
expressions, gestures and tone of voice, which in turn shape the corresponding emotional …

Analytical study on users' awareness and acceptability towards adoption of multimodal biometrics (MMB) mechanism in online transactions: a two-stage SEM-ANN …

H Purohit, M Dadhich, PK Ajmera - Multimedia Tools and Applications, 2023 - Springer
Abstracts The study analyses user awareness of multimodal biometrics and its acceptability
for online transactions in the current dynamic world. The study was performed on the five …

Continuous user authentication on smartphone via behavioral biometrics: a survey

PK Rayani, S Changder - Multimedia Tools and Applications, 2023 - Springer
The use of ubiquitous devices is increasing worldwide due to signs of progress in
sophisticated hardware technology with cutting-edge features. These features offer most …

A survey of human-computer interaction (HCI) & natural habits-based behavioural biometric modalities for user recognition schemes

S Gupta, C Maple, B Crispo, K Raja, A Yautsiukhin… - Pattern Recognition, 2023 - Elsevier
The proliferation of Internet of Things (IoT) systems is having a profound impact across all
aspects of life. Recognising and identifying particular users is central to delivering the …