A survey of privacy vulnerabilities of mobile device sensors
The number of mobile devices, such as smartphones and smartwatches, is relentlessly
increasing, to almost 6.8 billion by 2022, and along with it, the amount of personal and …
increasing, to almost 6.8 billion by 2022, and along with it, the amount of personal and …
Multi-modal deep learning diagnosis of parkinson's disease—A systematic review
V Skaramagkas, A Pentari… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Parkinson's Disease (PD) is among the most frequent neurological disorders. Approaches
that employ artificial intelligence and notably deep learning, have been extensively …
that employ artificial intelligence and notably deep learning, have been extensively …
Handwriting biometrics: Applications and future trends in e-security and e-health
Online handwritten analysis presents many applications in e-security, signature biometrics
being the most popular but not the only one. Handwriting analysis also has an important set …
being the most popular but not the only one. Handwriting analysis also has an important set …
Dynamic handwriting analysis for neurodegenerative disease assessment: a literary review
G Vessio - Applied Sciences, 2019 - mdpi.com
Studying the effects of neurodegeneration on handwriting has emerged as an
interdisciplinary research topic and has attracted considerable interest from psychologists to …
interdisciplinary research topic and has attracted considerable interest from psychologists to …
A spectrogram-based deep feature assisted computer-aided diagnostic system for Parkinson's disease
Parkinson's disease is a neural degenerative disease. It slowly progresses from mild to
severe stage, resulting in the degeneration of dopamine cells of neurons. Due to the …
severe stage, resulting in the degeneration of dopamine cells of neurons. Due to the …
Smartphone sensors for modeling human-computer interaction: General outlook and research datasets for user authentication
In this paper we list the sensors commonly available in modern smartphones and provide a
general outlook of the different ways these sensors can be used for modeling the interaction …
general outlook of the different ways these sensors can be used for modeling the interaction …
Exploring facial expressions and action unit domains for Parkinson detection
Background and objective Patients suffering from Parkinson's disease (PD) present a
reduction in facial movements called hypomimia. In this work, we propose to use machine …
reduction in facial movements called hypomimia. In this work, we propose to use machine …
Improving parkinson detection using dynamic features from evoked expressions in video
Hypomimia, also known as" facial masking", is a common symptom of Parkinson's Disease
(PD). PD is a neurological disorder characterized by non-motor and motor impairments …
(PD). PD is a neurological disorder characterized by non-motor and motor impairments …
edBB: Biometrics and behavior for assessing remote education
We present a platform for student monitoring in remote education consisting of a collection of
sensors and software that capture biometric and behavioral data. We define a collection of …
sensors and software that capture biometric and behavioral data. We define a collection of …
Comparison of CNN-learned vs. handcrafted features for detection of Parkinson's disease dysgraphia in a multilingual dataset
Parkinson's disease dysgraphia (PDYS), one of the earliest signs of Parkinson's disease
(PD), has been researched as a promising biomarker of PD and as the target of a …
(PD), has been researched as a promising biomarker of PD and as the target of a …