Real-Time Fingerspelling Recognition for Mexican Sign Language Learning

Mexican Sign Language (MSL) serves approximately 420,000 deaf individuals in Mexico, yet educational access remains limited due to a critical shortage of certified instructors (1:262 teacher-to-student ratio). This study presents ManoLingua, a web-based application for automated MSL fingerspelling recognition designed to provide real-time educational feedback.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-13
DOI
https://doi.org/10.5281/zenodo.16847468
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Real-Time Fingerspelling Recognition for Mexican Sign Language Learning

Zenodo (CERN European Organization for Nuclear Research)
Hand Gesture Recognition Systems
article

Real-Time Fingerspelling Recognition for Mexican Sign Language Learning

article en

Abstract

Mexican Sign Language (MSL) serves approximately 420,000 deaf individuals in Mexico, yet educational access remains limited due to a critical shortage of certified instructors (1:262 teacher-to-student ratio). This study presents ManoLingua, a web-based application for automated MSL fingerspelling recognition designed to provide real-time educational feedback.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 49%
Hand Gesture Recognition Systems
DOIOpen Access PDFOpenAlex
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Real-Time Fingerspelling Recognition for Mexican Sign Language Learning · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS