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On handwriting pressure normalization for interoperability of different acquisition stylus
(IEEE, 2021-01-21)
In this paper, we present a pressure characterization and normalization procedure for online handwritten acquisition. Normalization process has been tested in biometric recognition experiments (identification ...
Mood state detection in handwritten tasks using PCA–mFCBF and automated machine learning
(MDPI, 2022 Feb 2)
In this research, we analyse data obtained from sensors when a user handwrites or draws on a tablet to detect whether the user is in a specific mood state. First, we calculated the features based on the ...
Analysis of fine motor skills in essential tremor: combining neuroimaging and handwriting biomarkers for early management
(Frontiers Media SA, 2021-06-08)
Essential tremor (ET) is a highly prevalent neurological disorder characterized by actioninduced tremors involving the hand, voice, head, and/or face. Importantly, hand tremor is present in nearly all ...
Advanced parametrization of graphomotor difficulties in school-aged children
(IEEE, 2020-06-17)
School-aged children spend 31–60% of their time at school performing handwriting, which is a complex perceptual-motor skill composed of a coordinated combination of fine graphomotor movements. As up to ...
Emotional state recognition performance improvement on a handwriting and drawing task
(IEEE, 2021-02-21)
In this work we combine time, spectral and cepstral features of the signal captured in a tablet to characterize depression, anxiety, and stress emotional state recognition on the EMOTHAW database. EMOTHAW ...
Analysis of various fractional order derivatives approaches in assessment of graphomotor difficulties
(IEEE, 2020-12-04)
Graphomotor disabilities (GD) are present in up to 30% of school-aged children and are associated with several symptoms in the field of kinematics. Although the basic kinematic features such as velocity, ...
Comparison of CNN-learned vs. handcrafted features for detection of Parkinson's disease dysgraphia in a multilingual dataset
(Frontiers Media S.A., 2022)
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 noninvasive and inexpensive ...
Handwriting biometrics: applications and future trends in e-security and e-health
(Springer Nature, 2020)
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 of applications in ...
On the analysis of speech and disfluencies for automatic detection of Mild Cognitive Impairment
(Springer Nature, 2018-05-08)
Alzheimer’s disease is characterized by a progressive and irreversible cognitive deterioration. In a previous stage, the so-called Mild Cognitive Impairment or cognitive loss appears. Nevertheless, this ...
Exploiting spectral and cepstral handwriting features on diagnosing Parkinson’s disease
(IEEE, 2021-10-22)
Parkinson’s disease (PD) is the second most frequent neurodegenerative disease associated with several motor symptoms, including alterations in handwriting, also known as PD dysgraphia. Several computerized ...