Using machine learning for dynamic authentication in telehealth: A tutorial
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 …
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 …
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 …
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 …
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 …
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
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 …
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
This paper offers an up-to-date, comprehensive, extensive and targeted survey on
Behavioral Biometrics and Continuous Authentication technologies for mobile devices. Our …
Behavioral Biometrics and Continuous Authentication technologies for mobile devices. Our …
Activity-aware fall detection and recognition based on wearable sensors
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 …
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 …
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 …
However, the ability to capture people's behavioral patterns in-the-wild is a challenge, as the …