Computación afectiva en el contexto de la musicoterapia: una revisión sistemática
DOI:
https://doi.org/10.33448/rsd-v10i15.22844Palabras clave:
Computación afectiva; Reconocimiento de emociones; Estimulacíon acústica; Sistema de recomendación; Musicoterapia.Resumen
La musicoterapia es una herramienta eficaz para ralentizar el progreso de la demencia, ya que la interacción con la música puede evocar emociones que estimulan las áreas del cerebro responsables de la memoria. Esta terapia tiene más éxito cuando el terapeuta proporciona estímulos adecuados y personalizados para cada paciente. Esta personalización suele ser difícil. Por lo tanto, los métodos de Inteligencia Artificial (IA) pueden ayudar en esta tarea. Este artículo trae una revisión sistemática de la literatura en el campo de la computación afectiva en el contexto de la terapia musical. En particular, nuestro objetivo es evaluar los métodos de inteligencia artificial para realizar el reconocimiento automático de emociones aplicado a las interfaces musicales hombre-máquina (HMMI). Para realizar la revisión, realizamos una búsqueda automática en cinco de las principales bases de datos científicas en los campos de la computación inteligente, la ingeniería y la medicina. Buscamos todos los artículos publicados entre 2016 y 2020, cuyos metadatos, título o resumen contengan los términos definidos en la cadena de búsqueda. El protocolo de revisión sistemática resultó en la inclusión de 144 trabajos de las 290 publicaciones devueltas de la búsqueda. A través de esta revisión del estado del arte, fue posible enumerar los desafíos actuales en el reconocimiento automático de emociones. También fue posible darse cuenta del potencial del reconocimiento automático de emociones para construir soluciones de asistencia no invasivas basadas en interfaces musicales hombre-máquina, así como las técnicas de inteligencia artificial que se utilizan en el reconocimiento de emociones a partir de datos multimodal. Por lo tanto, el aprendizaje automático para el reconocimiento de emociones a partir de diferentes fuentes de datos puede ser un enfoque importante para optimizar los objetivos clínicos que se deben lograr a través de la musicoterapia.
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