Detección automática de emociones en juegos usando Deep Learning
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Fecha
2022
Autores
Profesor/a Guía
Facultad/escuela
Idioma
es
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Universidad Andrés Bello
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Licencia CC
Licencia CC
Resumen
Investigación basada en las afirmaciones expresadas por diferentes investigadores, sobre la
importancia de las emociones, la forma de expresarlas con énfasis en la expresión facial, así como
su valor de estar disponibles para la recolección de estos datos con el fin de utilizarlos para
diferentes propósitos. El potencial de la tecnología con respecto al reconocimiento de emociones
es claro, ya sea a través de Machine Learning o Deep Learning, por mencionar algunos.
Independientemente del ámbito o de los objetivos para los que se utilice esta tecnología, tienen
en común la importancia de mejorar el reconocimiento de cada una de las emociones para
obtener resultados lo más fieles posibles, para lo que se diferencian en técnicas, métodos o
recursos empleados para ello. Para este trabajo se ha decidido utilizar Deep Learning, para lo cual
se detallará su importancia y cómo se logra su implementación, además, se enfocará
específicamente en el uso de redes neuronales para el entrenamiento. Posteriormente, esta
herramienta se implementará en una aplicación web para poder reconocer las emociones de los
usuarios
Investigation based on the statements expressed by different researchers, about the importance of emotions, the way of expressing them with emphasis on facial expression, as well as their value of being available for data collection in order to use them for different purposes. The potential of technology with respect to emotion recognition is clear, whether through Machine Learning or Deep Learning, to name a few. Regardless of the area or the objectives for which this technology is used, they have in common the importance of improving the recognition of each of the emotions in order to obtain the most faithful results possible, for which they differ in techniques, methods or resources used for it. For this work it has been decided to use Deep Learning, for which its importance and how its implementation is achieved will be detailed, in addition, it will specifically focus on the use of neural networks for training. Later, this tool will be implemented in a web application to be able to recognize the emotions of the users.
Investigation based on the statements expressed by different researchers, about the importance of emotions, the way of expressing them with emphasis on facial expression, as well as their value of being available for data collection in order to use them for different purposes. The potential of technology with respect to emotion recognition is clear, whether through Machine Learning or Deep Learning, to name a few. Regardless of the area or the objectives for which this technology is used, they have in common the importance of improving the recognition of each of the emotions in order to obtain the most faithful results possible, for which they differ in techniques, methods or resources used for it. For this work it has been decided to use Deep Learning, for which its importance and how its implementation is achieved will be detailed, in addition, it will specifically focus on the use of neural networks for training. Later, this tool will be implemented in a web application to be able to recognize the emotions of the users.
Notas
Tesis (Ingeniero Civil Informático)
Palabras clave
Reconocimiento Facial (Ciencia de la Computación), Aprendizaje de Máquina