Importance: Approximately 7% to 30% of children contend with handwriting issues (HIs) in their school years. However, research studies to define and quantify HIs, as well as practical assessment tools, are lacking.
Objective: To confirm the validity and reliability of two screening scales for HIs: the Handwriting Legibility Scale (HLS) and the Concise Assessment Scale of Children's Handwriting (BHK).
Design: Structural equation modeling (SEM) and confirmatory factor analysis (CFA) of five different models were used to examine the construct and discriminant validity of both scales. Furthermore, internal consistency and interrater agreement were evaluated. The association among scales, grades, and children's self-evaluation was also explored.
Setting: Elementary schools and state counseling centers in the Czech Republic.
Participants: On a voluntary basis, 161 children from elementary schools and state counseling centers in the Czech Republic were enrolled. The variable of children with typical handwriting development versus HIs was missing for 11 children. Thus, for discriminant validity analysis, 150 data records from children were used.
Outcomes And Measures: The HLS and BHK were used to evaluate the handwriting quality of the transcription task. The Handwriting Proficiency Screening Questionnaires for Children was used for children's self-evaluation.
Results: The study confirmed the validity and reliability of the shortened BHK and HLS. A strong relationship was found between the BHK and HLS, grades, and children's self-evaluation.
Conclusions And Relevance: Both scales are recommended for occupational therapy practice worldwide. Further research should focus on developing standards and providing sensitivity studies. What This Article Adds: Both the HLS and the BHK are recommended for occupational therapy practice. Practitioners should also take the child's well-being into consideration in handwriting quality assessment.
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http://dx.doi.org/10.5014/ajot.2023.050029 | DOI Listing |
PeerJ Comput Sci
August 2024
School of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu, China.
The generator, which combines convolutional neural network (CNN) and Transformer as its core modules, serves as the primary model for the handwriting font generation network and demonstrates effective performance. However, there are still problems with insufficient feature extraction in the overall structure of the font, the thickness of strokes, and the curvature of strokes, resulting in subpar detail in the generated fonts. To solve the problems, we propose a method for constructing a handwritten font generation model based on Pyramid Squeeze Attention, called PSA-HWT.
View Article and Find Full Text PDFJ Forensic Sci
December 2024
Forensics, Institute of Law, University of Silesia, Katowice, Poland.
With further development of generative AI, primarily generative-adversarial networks (GAN), deepfakes are gaining in quality and accessibility. While, forensic methods designed for examination of handwriting are often applied to its digital copies, despite being possibly insensitive to cases of GAN-made forgeries (unless methods of digital forensics are co-employed). Approaching this problem from a novel perspective, we have created a translational GAN tasked with generating false handwritten signatures from limited examples, aiming to ascertain whether traditional methods of signature examination will be effective against such forgeries.
View Article and Find Full Text PDFBMC Pediatr
December 2024
School of Nursing and Midwifery, University for Development Studies, Tamale, Ghana.
Background: Medication administration errors (MAEs) are a critical concern in pediatric healthcare, contributing to adverse drug events (ADEs) and negatively impacting patient health.
Objectives: This study explores pediatric nurses' perceptions of factors contributing to MAEs at Yendi Municipal Hospital to develop interventions enhancing patient safety.
Methods: A descriptive cross-sectional survey was conducted among 143 nurses at Yendi Municipal Hospital using structured questionnaires.
Sensors (Basel)
September 2024
Applied Interactive Multimedia Lab, Engineering Division, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates.
Handwriting style is an important aspect affecting the quality of handwriting. Adhering to one style is crucial for languages that follow cursive orthography and possess multiple handwriting styles, such as Arabic. The majority of available studies analyze Arabic handwriting style from static documents, focusing only on pure styles.
View Article and Find Full Text PDFACS Appl Mater Interfaces
October 2024
School of Integrated Circuits, Huazhong University of Science and Technology, Wuhan 430074, China.
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