Visualitzant Grup de Recerca Tractament del Senyal i Dades – (TSD) per títol
Ara mostrant els elements 1-20 de 27
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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 ... -
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 ... -
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 ... -
Analysis of gender differences in online handwriting signals for enhancing e-health and e-security applications
(Cognitive Computations. 2023;15:208-219, 2023)Handwriting is a complex perceptual–motor skill that is mastered around the age of 8. Although its computerized analysis has been utilized in many biometric and digital health applications, the possible ... -
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, ... -
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 ... -
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 ... -
Cognitive impairment detection based on frontal camera scene while performing handwriting tasks
(Cognitive Computation. 2024;16:1004-1021, 2024)Diagnosing cognitive impairment is an ongoing field of research especially in the elderly. Assessing the health status of the elderly can be a complex process that requires both subjective and objective ... -
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 ... -
Computer-aided diagnosis of graphomotor difficulties utilizing direction-based fractional order derivatives
(Cognitive Computation. 2024 Nov;17(13), 2024-11)Children who do not sufficiently develop graphomotor skills essential for handwriting often develop graphomotor disabilities (GD), impacting the self-esteem and academic performance of the individual. ... -
Computerized assessment of handwriting in de novo Parkinson’s disease: a kinematic study
(Parkinsonism & Related Disorders. 2024 Sep;126:107072, 2024-09)Introduction: Dysgraphia, a recognized PD motor symptom, lacks effective clinical assessment. Current evaluation relies on motor assessment scales. Computational methods introduced over the past decade ... -
Discriminative power of handwriting and drawing features in depression
(International Journal of Neural Systems. 2024;34(2):2350069, 2024)This study contributes knowledge on the detection of depression through handwriting/drawing features, to identify quantitative and noninvasive indicators of the disorder for implementing algorithms for ... -
Effects of acute beetroot juice intake on performance, maximal oxygen uptake, and ventilatory efficiency in well-trained master rowers: a randomized, double-blinded crossover study
(Journal of the International Society of Sports Nutrition. 2024;21(1):2373170, 2024)Background: Beetroot juice (BRJ) intake has been considereda practical nutritional strategy among well-trained athletes. Thisstudy aimed to assess the effects of BRJ intake on performance,cardiorespiratory ... -
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 ... -
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 ... -
Eye-tracking calibration to control a cobot
(International Journal of Computational Methods and Experimental Measurements.2023 Mar;11(1):17-25, 2023-03)The present study pursues to determine the optimal operation range of a specific screen-based eye-tracker, the Tobii X2-30, regarding the variation of precision and accuracy in measures. Furthermore, a ... -
Graphomotor and Handwriting Disabilities Rating Scale (GHDRS): towards complex and objective assessment
(Australian Journal of Learning Difficulties. 2024 Mar;29(1):2024, 2024-03)Graphomotor and handwriting disabilities (GD and HD, respectively) could significantly reduce children’s quality of life. Effective remediation depends on proper diagnosis; however, current approaches ... -
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 ... -
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 ... -
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 ...