Analyzing handwriting legibility through hand kinematics
The model learns meaningful stylus and hand kinematics features associated with the legibility of handwriting. The hand kinematics features are important for accurate assessment of handwriting legibility. The proposed approach can be used in handwriting learning tools for personalized handwriting skill acquisition as well as for pathology detection and rehabilitation.
Authors
- Vahan Babushkin (ORCID: https://orcid.org/0000-0002-3730-9496)
- Mohamad Eid (ORCID: https://orcid.org/0000-0002-6940-7891)
- Muhamed Osman Al-Khalil (ORCID: https://orcid.org/0009-0006-5800-0558)
- Haneen Alsuradi (ORCID: https://orcid.org/0000-0001-7396-444X)
Institutions
- New York University Abu Dhabi (AE)
- New York University (US)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2025-03-26
- DOI
- https://doi.org/10.3389/frai.2025.1426455
- Citations
- 1
- Primary Topic
- Writing and Handwriting Education
- Type
- article
- Field-Weighted Citation Impact
- 8.93