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 …
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 …
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 …
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
Mobile devices and technologies have become increasingly popular, offering comparable
storage and computational capabilities to desktop computers allowing users to store and …
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 …
impact topic of research within human-centered computing. In the last decade, successful …
AUToSen: Deep-Learning-Based Implicit Continuous Authentication Using Smartphone Sensors
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 …
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
Smartphones are inescapable devices, which are becoming more and more intelligent and
context-aware with emerging sensing, networking, and computing capabilities. They offer a …
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 …
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
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 …
applications like prediction of osteoarthritis and patient surveillance. In this application, the …
A continuous smartphone authentication method based on gait patterns and keystroke dynamics
Behavioral biometrics, such as gait patterns and keystroke dynamics, have been becoming
increasingly used in human identity recognition research for enhancing the smartphone …
increasingly used in human identity recognition research for enhancing the smartphone …