Results 41 to 50 of about 48,373,504 (334)

The Comparative Influence of Culture and Schooling Environment on Handwriting Features

Arab Journal of Forensic Sciences & Forensic Medicine, 2018
Handwriting is an acquired trait of an individual which is primarily culture and environment dependent. The present study attempts to assess the relative influence of schooling environment and culture upon handwriting features.
Monika Saini, Anup K. Kapoor
doaj   +1 more source

Relationship Between Teacher’s and Therapist’s Evaluations on Handwriting Performance in First-grade Children [PDF]

Iranian Rehabilitation Journal, 2021
Objectives: Handwriting dysfunction may harm children’s wellbeing. Therapists and elementary school teachers help to identify and improve children’s handwriting performance.
Adel Alhusaini, Ganeswararao Melam, Emad Bakr Takrouni, Faizan Zaffar Kashoo, Syamala Buragadda   +4 more
doaj  

Children’s Online Handwriting Quality Analysis. [PDF]

, 2021
<div>An innovative e-learning project is presented in this paper, which is a mobile workbook that teaches handwriting at school. This mobile application proposes a new qualitative and quantitative analysis process of online cursive handwriting. It gives a real-time feedback, detects mistakes and helps teachers evaluate children’s writing skills ...
Hanen Akouaydi, Yahia Hamdi, Houcine Boubaker, Mourad Zaied, Faouzi Alaya Cheikh, Adel Alimi   +5 more
openaire   +1 more source

A Review of Multilingual Handwriting Analysis Techniques in Forensic Science

Journal of Forensic Science and Medicine
Handwriting analysis is a crucial forensic tool used for identifying individuals, authenticating documents, and detecting forgeries in both civil and criminal investigations.
Ganti Skanda Priya, Umema Ahemad, Neha Mundotiya   +2 more
doaj   +1 more source

Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset

Frontiers in Neuroinformatics, 2022
Parkinson's disease dysgraphia (PDYS), one of the earliest signs of Parkinson's disease (PD), has been researched as a promising biomarker of PD and as the target of a noninvasive and inexpensive approach to monitoring the progress of the disease ...
Zoltan Galaz, Peter Drotar, Jiri Mekyska, Matej Gazda, Jan Mucha, Vojtech Zvoncak, Zdenek Smekal, Marcos Faundez-Zanuy, Reinel Castrillon, Reinel Castrillon, Juan Rafael Orozco-Arroyave, Juan Rafael Orozco-Arroyave, Steven Rapcsak, Tamas Kincses, Lubos Brabenec, Irena Rektorova, Irena Rektorova   +16 more
doaj   +1 more source

AI-Enhanced Child Handwriting Analysis: A Framework for the Early Screening of Dyslexia and Dysgraphia

SN Computer Science
Dyslexia and dysgraphia are two specific learning disabilities (SLDs) that are prevalent among children. To minimize the negative impact these SLDs have on a child’s academic and social-emotional development, it is crucial to identify dyslexia and ...
Sahana Rangasrinivasan, M. Sumi Suresh, Abbie Olszewski, Srirangaraj Setlur, Bharat Jayaraman, Venugopal Govindaraju   +5 more
semanticscholar   +1 more source

ML-Powered Handwriting Analysis for Early Detection of Alzheimer’s Disease

IEEE Access
Alzheimer’s disease (AD) is a progressive, incurable condition leading to decline of nerve cells and cognitive functions over time. Early detection is essential for improving quality of life, as treatment strategies aim to decelerate its progression.
Uddalak Mitra, Shafiq Ul Rehman
semanticscholar   +1 more source

LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis

Comput. Methods Programs Biomed.
BACKGROUND AND OBJECTIVES Dynamic handwriting analysis, due to its noninvasive and readily accessible nature, has emerged as a vital adjunctive method for the early diagnosis of Parkinson's disease (PD).
Xuechao Wang, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Aaro Toomela, S. Nõmm, M. Ruzhansky   +6 more
semanticscholar   +1 more source

A Study on Idiosyncratic Handwriting with Impact on Writer Identification [PDF]

, 2018
In this paper, we study handwriting idiosyncrasy in terms of its structural eccentricity. In this study, our approach is to find idiosyncratic handwritten text components and model the idiosyncrasy analysis task as a machine learning problem supervised ...
Chaudhuri, Bidyut, Michael Blumenstein, Chaudhuri, BB, Adak, C, Bidyut B. Chaudhuri, Chandranath Adak, Adak, Chandranath, Chaudhuri, Bidyut B, Blumenstein, Michael, Blumenstein, M   +9 more
core   +1 more source

Novel geometric features for off-line writer identification [PDF]

, 2016
Writer identification is an important field in forensic document examination. Typically, a writer identification system consists of two main steps: feature extraction and matching and the performance depends significantly on the feature extraction step ...
Al-Maadeed, Somaya, Bouridane, Ahmed, Hassaine, Abdelaali, Tahir, Muhammad   +3 more
core   +1 more source