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 …

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 …

Smartphone and smartwatch-based biometrics using activities of daily living

GM Weiss, K Yoneda, T Hayajneh - Ieee Access, 2019 - ieeexplore.ieee.org
Smartphones and smartwatches, which include powerful sensors, provide a readily
available platform for implementing and deploying mobile motion-based behavioral …

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 …

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 …

EnsemConvNet: a deep learning approach for human activity recognition using smartphone sensors for healthcare applications

D Mukherjee, R Mondal, PK Singh, R Sarkar… - Multimedia Tools and …, 2020 - Springer
Abstract Human Activity Recognition (HAR) can be defined as the automatic prediction of the
regular human activities performed in our day-to-day life, such as walking, running, cooking …

Behavioral biometrics & continuous user authentication on mobile devices: A survey

I Stylios, S Kokolakis, O Thanou, S Chatzis - Information Fusion, 2021 - Elsevier
This paper offers an up-to-date, comprehensive, extensive and targeted survey on
Behavioral Biometrics and Continuous Authentication technologies for mobile devices. Our …

Activity-aware fall detection and recognition based on wearable sensors

F Hussain, F Hussain, M Ehatisham-ul-Haq… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Falling is a severe hazard among older adults. Fall treatment is considered to be one of the
most costly treatments, which usually extends to a long time. One bad fall can cause severe …

A new framework for smartphone sensor-based human activity recognition using graph neural network

R Mondal, D Mukherjee, PK Singh… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Automatic human activity recognition (HAR) through computing devices is a challenging
research topic in the domain of computer vision. It has widespread applications in various …

Context-aware human activity recognition (CAHAR) in-the-Wild using smartphone accelerometer

Y Asim, MA Azam, M Ehatisham-ul-Haq… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Smartphones are a promising platform for continuous monitoring of human behavior.
However, the ability to capture people's behavioral patterns in-the-wild is a challenge, as the …