Revisión de la literatura sobre el uso de Inteligencia Artificial enfocada a la atención de la discapacidad visual

Autores/as

  • Ruth Alvarado-Salazar Universidad Politécnica Salesiana
  • Joe Llerena-Izquierdo Universidad Politécnica Salesiana

DOI:

https://doi.org/10.18779/ingenio.v5i1.472

Palabras clave:

Inteligencia artificial, ceguera, discapacidad visual, deficiencia visual

Resumen

Este trabajo realiza una revisión sistemática de literatura centrada en la atención a la discapacidad visual apoyada por la inteligencia artificial categorizando la relevancia de aportaciones sobre machine learning. El objetivo principal es determinar técnicas que se aplican para la atención a la discapacidad visual mediante inteligencia artificial durante los años 2017 al 2021 de diferentes estudios relevantes hallados en bases indexadas como Scopus, Web of Science, IEEExplore y Springer. De un total de 545 publicaciones se determinaron 33 artículos categorizados en cuatro ámbitos, aprendizaje automático, redes neuronales artificiales, procesamiento de lenguaje natural y visión artificial relacionadas al ámbito de la discapacidad visual. Se evidencian tendencias de aplicación con técnicas que involucran a la inteligencia artificial y que permiten abrir campos donde la tecnología tiene un desafío que en cierta medida es un apoyo a las personas que presentan baja visión y plantean mecanismos para mejorar la calidad de vida.

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Publicado

2022-01-13

Cómo citar

Alvarado-Salazar, R., & Llerena-Izquierdo, J. (2022). Revisión de la literatura sobre el uso de Inteligencia Artificial enfocada a la atención de la discapacidad visual. Revista InGenio, 5(1), 10–21. https://doi.org/10.18779/ingenio.v5i1.472

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