Handwriting is a complex human activity that entails an intricate blend of cognitive, kinesthetic and perceptual-motor components. Children are expected to acquire a level of handwriting proficiency that enables them to make skillful use of handwriting as a tool to carry out their work at school. Poor handwriters have difficulty developing their writing skills and, as a result, often suffer in ...

In this paper, we present the Arabic handwriting recognition system that was submitted to the 2013 NIST Open Handwriting Recognition and Translation Evaluation (OpenHaRT 2013). Our baseline recognition system is based on Hidden Markov Models and we also propose a lattice-based framework to combine the outputs from several different recognition engines. Keywords—Document recognition, Arabic hand...

Deficits in handwriting performance limit the school participation of children with developmental coordination disorder (DCD). The aim of this study was to compare the handwriting process and product characteristics of children with DCD to those of typically developing (TD) children in order to determine the best means of differentiation between the groups. Participants were 40 children, from 7...

We describe efforts to create corpora to support development and evaluation of handwriting recognition and translation technology. LDC has developed a stable pipeline and infrastructures for collecting and annotating handwriting linguistic resources to support the evaluation of MADCAT and OpenHaRT. We collect handwritten samples of pre-processed Arabic and Chinese data that has been already tra...

The objective of this study was to test how advanced digital technology enables a more effective training on the handwriting of children with handwriting deficit. This study implemented the graphomotor apparatuses to a computer-assisted instruction system. In a randomized controlled trial, the experiments for verifying the intervention effect were conducted. Forty two children with handwriting ...

In this paper, we briefly descibe an XML representation for annotation of online handwriting data to support the development and evaluation of handwriting recognition algorithms, that is based on the emerging Digital Ink Markup Language (InkML) draft standard from W3C. In particular, we describe how the XML representation we have defined attempts to address issues of (i) support for different s...

We developed and piloted a program for first-grade students to promote development of legible handwriting and writing fluency. The Write Start program uses a coteaching model in which occupational therapists and teachers collaborate to develop and implement a handwriting-writing program. The small-group format with embedded individualized supports allows the therapist to guide and monitor stude...

OBJECTIVES This study examined concurrent validity of the Evaluation Tool of Children's Handwriting-Cursive (ETCH-C) by comparing ETCH-C total legibility percentage scores with handwriting grades from teachers. The study also identified the legibility percentage score discriminating between satisfactory and unsatisfactory handwriting. METHOD The participants were 101 fourth graders who comple...

PURPOSE To examine the impact of prolonged graphomotor tasks on tripod-pinch strength and on handwriting process and product measures of children with dysgraphia and typical peers. METHOD Participants were 51 children in third to fifth grades, divided into two groups: 23 children with dysgraphia and 28 typical peers, as determined by the Handwriting Proficiency Screening Questionnaire. The pr...

Continuous handwriting input using the finger on small devices such as PDAs and mobile phones is difficult if not impossible. Also, handwriting input has always required significant attention from the user during the process of writing. In our previous work, we proposed the concept of ‘eyes-free writing’, a novel solution that addresses both the problems. In this paper, we describe the challeng...