Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Robot-mediated haptic feedback outperforms vision in violin duo coordination.

Science robotics·2026
Same author

Haptic feedback in violin education as a case study of robotic exoskeleton-mediated motor learning.

Scientific reports·2026
Same author

Helping or watching it happen: how participants respond to robot failures in a turn-taking game.

Frontiers in robotics and AI·2026
Same author

Focal mechanical vibration motor effects on the finger tapping in healthy volunteers.

Frontiers in sports and active living·2026
Same author

Defining the user needs for an assistive pediatric hand exoskeleton: An Italian explorative survey.

Assistive technology : the official journal of RESNA·2026
Same author

A Closed-loop Platform for the Embodiment of Supernumerary Robotic Limbs During Augmented Tasks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Related Experiment Video

Updated: Aug 29, 2025

Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment
05:58

Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment

Published on: March 11, 2021

4.7K

Evaluating Handwriting Skills through Human-Machine Interaction: A New Digitalized System for Parameters Extraction.

Cecilia Provenzale, Laura Sparaci, Valentina Fantasia

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |September 10, 2022
    PubMed
    Summary

    A new digital platform, Grapho-motor Handwriting Evaluation & Exercise (GHEE), shows promise for assessing grapho-motor skills (GMS) in children. This technology aims to overcome the limitations of traditional pen-and-paper handwriting assessments.

    More Related Videos

    An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones
    05:42

    An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones

    Published on: October 5, 2020

    3.3K
    Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
    08:15

    Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

    Published on: March 28, 2025

    714

    Related Experiment Videos

    Last Updated: Aug 29, 2025

    Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment
    05:58

    Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment

    Published on: March 11, 2021

    4.7K
    An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones
    05:42

    An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones

    Published on: October 5, 2020

    3.3K
    Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
    08:15

    Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

    Published on: March 28, 2025

    714

    Area of Science:

    • Pediatrics
    • Educational Psychology
    • Human-Computer Interaction

    Background:

    • Handwriting and grapho-motor skills (GMS) are crucial for academic success, yet many children struggle with legible handwriting.
    • Current GMS assessments rely on time-consuming, subjective pen-and-paper methods with high inter-rater variability.
    • There is a growing need for objective, efficient tools to evaluate handwriting difficulties.

    Purpose of the Study:

    • To introduce and evaluate a novel digital platform, Grapho-motor Handwriting Evaluation & Exercise (GHEE), for assessing GMS.
    • To address the limitations of existing digital and traditional handwriting evaluation methods.
    • To explore a human-machine interaction approach for GMS evaluation.

    Main Methods:

    • Development of the GHEE platform, integrating hardware and software, informed by standardized GMS tests.
    • Analysis of cursive handwriting data from six adult volunteers using both automated GHEE software and manual human coding.
    • Comparison of machine-extracted parameters with human-coded data to identify optimal assessment strategies.

    Main Results:

    • Preliminary data indicates the GHEE platform's efficacy in analyzing handwriting parameters.
    • The study successfully differentiated parameters suitable for automatic extraction versus those requiring human-machine interaction.
    • Results support the feasibility of using the GHEE platform for GMS evaluation.

    Conclusions:

    • The GHEE platform offers a feasible and effective digital solution for handwriting assessment.
    • This human-machine interaction approach enhances the objectivity and efficiency of GMS evaluation.
    • Further research and validation are warranted to establish GHEE as a clinical and educational tool.