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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 ...