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All Journal International Journal of Informatics and Communication Technology (IJ-ICT)
Samantha Jiménez
Universidad Autónoma de Baja California
Computer Science & IT

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Prototype of real-time Mexican sign language classifier Alan Ramírez-Noriega; Yobani Martínez-Ramírez; Samantha Jiménez; Marcos Murillo-Corrales
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 15, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v15i3.pp986-994

Abstract

Mexican sign language (MSL) is the language used by the deaf community in Mexico. Like Spanish, it has its own distinct grammar, syntax, and vocabulary. However, instead of relying on sounds, MSL conveys meaning through gestures, facial expressions, and body movement. This research proposes the creation of an image dataset of the MSL alphabet for real-time sign detection. A neural network model was developed to recognize these signs, achieving an accuracy of approximately 60%. Although this result is modest, the study establishes a foundation for future work that could facilitate communication for MSL users or lead to the development of educational applications for language learning.
Co-Authors Alan Ramírez-Noriega Marcos Murillo-Corrales Yobani Martínez-Ramírez