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Identification and monitoring of Parkinson’s disease dysgraphia based on fractional-order derivatives of online handwriting
(MDPI, 2018-12-11)
Parkinson’s disease dysgraphia affects the majority of Parkinson’s disease (PD) patients and is the result of handwriting abnormalities mainly caused by motor dysfunctions. Several effective approaches ...
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 ...
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 ...
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, ...
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 ...
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 ...
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 ...