Privacy-preserving sensor-based continuous authentication and user profiling: a review

L Hernández-Álvarez, JM de Fuentes… - Sensors, 2020 - mdpi.com
Ensuring the confidentiality of private data stored in our technological devices is a
fundamental aspect for protecting our personal and professional information. Authentication …

Marketing AI recruitment: The next phase in job application and selection

P Van Esch, JS Black, J Ferolie - Computers in Human Behavior, 2019 - Elsevier
Organizations are beginning to adopt and capitalize on the functionality of AI in their
recruitment processes. However, little is known about how potential candidates regard the …

Biometric user identification based on human activity recognition using wearable sensors: An experiment using deep learning models

S Mekruksavanich, A Jitpattanakul - Electronics, 2021 - mdpi.com
Currently, a significant amount of interest is focused on research in the field of Human
Activity Recognition (HAR) as a result of the wide variety of its practical uses in real-world …

Sensor-based continuous authentication of smartphones' users using behavioral biometrics: A contemporary survey

M Abuhamad, A Abusnaina, DH Nyang… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Mobile devices and technologies have become increasingly popular, offering comparable
storage and computational capabilities to desktop computers allowing users to store and …

Deep convolutional neural network with rnns for complex activity recognition using wrist-worn wearable sensor data

S Mekruksavanich, A Jitpattanakul - Electronics, 2021 - mdpi.com
Sensor-based human activity recognition (S-HAR) has become an important and high-
impact topic of research within human-centered computing. In the last decade, successful …

AUToSen: Deep-Learning-Based Implicit Continuous Authentication Using Smartphone Sensors

M Abuhamad, T Abuhmed, D Mohaisen… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Smartphones have become crucial for our daily life activities and are increasingly loaded
with our personal information to perform several sensitive tasks, including, mobile banking …

Continuous authentication of smartphone users based on activity pattern recognition using passive mobile sensing

M Ehatisham-ul-Haq, MA Azam, U Naeem… - Journal of Network and …, 2018 - Elsevier
Smartphones are inescapable devices, which are becoming more and more intelligent and
context-aware with emerging sensing, networking, and computing capabilities. They offer a …

Hybrid convolution neural network with channel attention mechanism for sensor-based human activity recognition

S Mekruksavanich, A Jitpattanakul - Scientific Reports, 2023 - nature.com
In the field of machine intelligence and ubiquitous computing, there has been a growing
interest in human activity recognition using wearable sensors. Over the past few decades …

Human gait analysis for osteoarthritis prediction: A framework of deep learning and kernel extreme learning machine

MA Khan, S Kadry, P Parwekar… - Complex & Intelligent …, 2021 - Springer
Human gait analysis is a novel topic in the field of computer vision with many famous
applications like prediction of osteoarthritis and patient surveillance. In this application, the …

A continuous smartphone authentication method based on gait patterns and keystroke dynamics

I Lamiche, G Bin, Y Jing, Z Yu, A Hadid - Journal of Ambient Intelligence …, 2019 - Springer
Behavioral biometrics, such as gait patterns and keystroke dynamics, have been becoming
increasingly used in human identity recognition research for enhancing the smartphone …