Codificación automatizada de Expresiones No-Manuales: Análisis de corpus de lenguas de señas utilizando FaceReader
DOI:
https://doi.org/10.36942/revincluso.v3i1.899Palabras clave:
FaceReader; Expressiones No-Manuales; Codificación; lenguas de señas.Resumen
El presente estudio tiene como objetivo introducir la posibilidad de codificar expresiones faciales y movimientos de cabeza en diferentes lenguas de señas utilizando el programa FaceReader. Teniendo en cuenta que las Expresiones No-Manuales (ENMs) (expresiones faciales, movimientos de cabeza y torso) son una parte importante de la gramática de las lenguas de señas, la capacidad de codificación automática de FaceReader sería muy útil para investigar un mayor número de datos, ya que el programa es capaz de calibrar el rostro de los participantes y anotar automáticamente emociones (ENMs emotivos), Unidades de Acción (ENMs gramaticales) y sus intensidad, así como movimientos y posiciones de cabeza. En resumen, utilizar el programa es muy beneficioso para el reconocimiento de movimientos faciales y de cabeza en las lenguas de señas, pero también hay algunas desventajas al adoptarlo: su precio, la falta de codificación de los movimientos del torso y la proyección de la cabeza hacia delante y hacia atrás, así como la dificultad de analizar a participantes con barba y gafas. Algunas de estas desventajas pueden ser superadas con otros softwares o estrategias metodológicas.
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Derechos de autor 2023 Letícia Kaori Hanada
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
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