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A comparative study of in-air trajectories at short and long distances in online handwriting
(Cognitive Computation. 2017;9:712–720, 2017)Existing literature about online handwriting analysis to support pathology diagnosis has taken advantage of in-air trajectories. A similar situation occurred in biometric security applications where the ... -
Automatic analysis of Archimedes’ spiral for characterization of genetic essential tremor based on Shannon’s entropy and fractal dimension
(Entropy. 2018;20(7):531, 2018-07-16)Among neural disorders related to movement, essential tremor has the highest prevalence; in fact, it is twenty times more common than Parkinson’s disease. The drawing of the Archimedes’ spiral is the ... -
Quantitative analysis of relationship between hypokinetic dysarthria and the freezing of gait in Parkinson’s disease
(Cognitive Computation. 2018;10(6):1006-1018, 2018)Hypokinetic dysarthria (HD) and freezing of gait (FOG) are both axial symptoms that occur in patients with Parkinson’s disease (PD). It is assumed they have some common pathophysiological mechanisms and ... -
Changes in phonation and their relations with progress of Parkinson’s disease
(Applied Sciences. 2018;8(12):2339, 2018-11-22)Hypokinetic dysarthria, which is associated with Parkinson’s disease (PD), affects several speech dimensions, including phonation. Although the scientific community has dealt with a quantitative analysis ... -
Identification and monitoring of Parkinson’s disease dysgraphia based on fractional-order derivatives of online handwriting
(Applied Sciences. 2018;8(12):2566, 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 ... -
Analysis of various fractional order derivatives approaches in assessment of graphomotor difficulties
(IEEE Access. 2020 Dec 4; 8:218234-218244, 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, ... -
Advanced parametrization of graphomotor difficulties in school-aged children
(IEEE Acces. 2020 Jun 17;8:112883-112897, 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 ... -
Handwriting biometrics: applications and future trends in e-security and e-health
(Cognitive Computation. 2020;12;940–953, 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
(Neural Computing and Applications. 2020;32:15761–15769, 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 ... -
Comparison of CNN-learned vs. handcrafted features for detection of Parkinson's disease dysgraphia in a multilingual dataset
(Frontiers in Neuroinformatics. 2022;(16):877139, 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 ... -
Reliability and validity of the Polar V800 sports watch for estimating vertical jump height
(Journal of Sports Science and Medicine. 2021;(20):149-157, 2021)This study aimed to assess the reliability and validity of the Polar V800 to measure vertical jump height. Twenty-two physically active healthy men (age: 22.89 ± 4.23 years; body mass: 70.74 ± 8.04 kg; ... -
On handwriting pressure normalization for interoperability of different acquisition stylus
(IEEE Access. 2021 Jan 21;9:18443-18453, 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
(Sensors. 2022 Feb 21;22(4):1686, 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 ... -
Exploiting spectral and cepstral handwriting features on diagnosing Parkinson’s disease
(IEEE Access. 2021 Oct 22;(9):141599-141610, 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 ... -
Emotional state recognition performance improvement on a handwriting and drawing task
(IEEE Access. 2021 Feb 23;(9):28496-28504, 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 fine motor skills in essential tremor: combining neuroimaging and handwriting biomarkers for early management
(Frontiers in Human Neuroscience. 2021 Jun 8;15:648573, 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 ...