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 …
Biometrics in the era of COVID-19: challenges and opportunities
M Gomez-Barrero, P Drozdowski… - … on Technology and …, 2022 - ieeexplore.ieee.org
Since early 2020, the COVID-19 pandemic has had a considerable impact on many aspects
of daily life. A range of different measures have been implemented worldwide to reduce the …
of daily life. A range of different measures have been implemented worldwide to reduce the …
Explainable machine learning models based on multimodal time-series data for the early detection of Parkinson's disease
Background and objectives Parkinson's Disease (PD) is a devastating chronic neurological
condition. Machine learning (ML) techniques have been used in the early prediction of PD …
condition. Machine learning (ML) techniques have been used in the early prediction of PD …
Sequence-based dynamic handwriting analysis for Parkinson's disease detection with one-dimensional convolutions and BiGRUs
Parkinson's disease (PD) is commonly characterized by several motor symptoms, such as
bradykinesia, akinesia, rigidity, and tremor. The analysis of patients' fine motor control …
bradykinesia, akinesia, rigidity, and tremor. The analysis of patients' fine motor control …
DeepSign: Deep on-line signature verification
Deep learning has become a breathtaking technology in the last years, overcoming
traditional handcrafted approaches and even humans for many different tasks. However, in …
traditional handcrafted approaches and even humans for many different tasks. However, in …
[HTML][HTML] SVC-onGoing: Signature verification competition
This article presents SVC-onGoing 1, an on-going competition for on-line signature
verification where researchers can easily benchmark their systems against the state of the …
verification where researchers can easily benchmark their systems against the state of the …
[HTML][HTML] CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
Dysgraphia is a neurological disorder that hinders the acquisition process of normal writing
skills in children, resulting in poor writing abilities. Poor or underdeveloped writing skills in …
skills in children, resulting in poor writing abilities. Poor or underdeveloped writing skills in …
Identifying dominant emotional state using handwriting and drawing samples by fusing features
The expertise to quickly and non-invasively determine a subject's emotional state can
contribute to a milestone in research on emotionally intelligent computing systems. The …
contribute to a milestone in research on emotionally intelligent computing systems. The …
A smart pen based on triboelectric effects for handwriting pattern tracking and biometric identification
Q He, Z Feng, X Wang, Y Wu… - ACS Applied Materials & …, 2022 - ACS Publications
The rapid development of artificial intelligence places high demands on human–machine
interfaces. Various types of huma–machine interfaces have been implemented, including …
interfaces. Various types of huma–machine interfaces have been implemented, including …
Fusing CNNs and statistical indicators to improve image classification
Abstract Convolutional Neural Networks have dominated the field of computer vision for the
last ten years, exhibiting extremely powerful feature extraction capabilities and outstanding …
last ten years, exhibiting extremely powerful feature extraction capabilities and outstanding …