Titlebook: ;

Culpable

Analysis of Eye Movements in Children with Developmental Coordination Disorder During a Handwriting ents which limit this kind of analysis. In this paper we present an exploratory study analyzing eye movements during a handwriting copy task using eye-tracking glasses in children with comorbid dysgraphia and Developmental Coordination Disorder (DCD), and in Control (CTL) children. We found that chi

Free-Radical

忙碌

IntuiSketch, a Pen-Based Tutoring System for Anatomy Sketch Learning offer the possibility to have pen and touch interaction, which mimics the traditional pen and paper setting. The objective here is to combine online recognition techniques, that enable to interpret the sketches drawn by the students, with tutoring techniques, that model the domain knowledge. IntuiS

PUT

四海为家的人

Copilotr@ce Put to the Crowdsourcing Testn of many individuals to perform specific tasks such as object identification in images. It is an interesting process to set up because it facilitates problem solving, analysis and data collection and knowledge sharing. Copilotr@ce is a platform set up for the analysis of graphomotor gestures. We sh

火车车轮

A Machine Learning Approach to Analyze the Effects of Alzheimer’s Disease on Handwriting Through Log that, in the worst cases, becomes severe enough to interfere with daily life. Currently, there is no cure, so an early diagnosis is strongly needed to try and slow its progression through medical treatments. Handwriting analysis is considered a potential tool for detecting and understanding certain

nepotism

genesis

Favorable

The Neglected Role of GUI in Performance Evaluation of AI-Based Transcription Tools for Handwritten ndwritten documents. While the precision and recall of the handwritten word recognition have traditionally been the primary focus, we argue that the time parameter associated with the GUI, specifically in terms of validation and correction, plays an equally crucial role. By investigating the influen

小卒

Estimating the Optimal Training Set Size of Keyword Spotting for Historical Handwritten Document Traion of small collections of historical handwritten documents. As this application domain is characterized by a lack of data, and techniques such as transfer learning and data augmentation require more resources than those that are commonly available in the organizations holding the collections, we a