The purpose of this study was to use an x-y digitizer to collect handwriting samples typical of those written by the child in his or her natural environment, to analyze these samples with novel segmentation algorithms, and to present them visually in ways that illuminate spatial and temporal dynamic features amongst children with dysgraphic and proficient handwriting. While using the POET softw...

Objectives: This study aimed at analyzing the test-retest and interrater reliabilities of the Test of In-Hand Manipulation-Modified (TIHM-M), as well as the relationship between in-hand manipulation and handwriting. Methods: We administered the TIHM-M twice, two days apart, and the Beknopte Beoordelingsmethode voor Kinder Handschriften (BHK) - Concise Assessment Method for children’s handwriti...

Timing ability is essential for common everyday performance. The aim of the study was to compare timing abilities and temporal aspects of handwriting performance and relationships between these two components among children with Developmental Coordination Disorders (DCD) and a control group. Forty two children, 21 diagnosed as DCD and 21 with typical development, aged 7-12, were matched for age...

Due to their multifunctionality, tablets offer tremendous advantages for research on handwriting dynamics or for interactive use of learning apps in schools. Further, the widespread use of tablet computers has had a great impact on handwriting in the current generation. But, is it advisable to teach how to write and to assess handwriting in pre- and primary schoolchildren on tablets rather than...

One of the major developments in machine learning in the past decade is the ensemble method, which finds highly accurate classifier by combining many moderately accurate component classifiers. In this research work, new ensemble classification methods are proposed for homogeneous ensemble classifiers using bagging and heterogeneous ensemble classifiers using arcing classifier and their performa...

Handwriting Recognition Technology, Children, and the Writing Process, PhD thesis, Janet C Read ii Handwriting Recognition Technology, Children, and the Writing Process Janet C Read Department of Computing University of Central Lancashire Preston [email protected] Abstract The research reported here investigates the match between child, technology and task in the scenario of children using han...

This study investigated the presence of, and relationship between tactile dysfunction and upper limb motor function in children with Developmental Coordination Disorder (DCD) compared to typical developing (TD) children. Participants were 36 children aged 6-12 years. Presence of DCD (n=20) or TD (n=16) was confirmed using the Movement Assessment Battery for Children, second edition. All childre...

Abstract Date Presented 04/01/2022 This mixed-methods research study explores the effectiveness of a community-based telehealth handwriting camp to improve legibility in school-age children (ages 5-9 years). The was lead by an experienced OT practitioner and supported college-level student volunteers, it used materials from Handwriting Without Tears curriculum. Pre- postcamp assessments were sc...

Handwriting in-space from Kinect depth and color information is a challenging task due to the high variability of signature characteristics for different individuals. In this paper, a user-friendly human computer interaction system is proposed and implemented based on Kinect handwriting. The fingertip is firstly tracked by our detection method in every depth frame to generate 3D trajectory of h...