Publication: Creación de un sistema de medición de felicidad usando técnicas de visión artificial
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2012-09
Defense date
2012-09-24
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Abstract
En este proyecto se ha realizado un análisis de los gestos de los rostros humanos, centrándonos en la expresión de la zona de la boca para determinar el estado de ánimo de la persona cuyo rostro está siendo sometido a análisis. Para conseguir determinar el estado de ánimo se han empleado diferentes técnicas para disminuir la influencia del ruido (datos erróneos) y de la iluminación. Para reducir la influencia al ruido hemos utilizado 3 espacios de color con un estudio de cada uno de ellos por separado, siendo estos: El espacio de color RGB, HSV y escala de Grises. Para una visualización amigable por parte del usuario, se ha optado por introducir emoticonos que ilustren el estado de ánimo del rostro sometido a estudio. Cabe destacar que en este proyecto se ha conseguido localizar y diferenciar 4 estados de ánimo diferentes: Normal, Feliz, Muy Feliz y Totalmente Feliz. _________________________________________________________________________________________________________________________________
In this project we have analyzed the gestures of human faces, focusing on the expression of the mouth area to determine the frame of mind of the person whose face is undergoing analysis. For determining the frame of mind, we have used different techniques to reduce the influence of noise (bad data) and lighting. To reduce the influence of noise we used 3 color spaces with a study of each of them separately, namely: The color space RGB, HSV and Gray scale. For viewing by the user friendly, has chosen to introduce emoticons to illustrate the frame of mind of the face under study. Note that this project has been able to locate and differentiate 4 different frames of mind: Normal, Happy, Very Happy and Completely Happy.
In this project we have analyzed the gestures of human faces, focusing on the expression of the mouth area to determine the frame of mind of the person whose face is undergoing analysis. For determining the frame of mind, we have used different techniques to reduce the influence of noise (bad data) and lighting. To reduce the influence of noise we used 3 color spaces with a study of each of them separately, namely: The color space RGB, HSV and Gray scale. For viewing by the user friendly, has chosen to introduce emoticons to illustrate the frame of mind of the face under study. Note that this project has been able to locate and differentiate 4 different frames of mind: Normal, Happy, Very Happy and Completely Happy.
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Visión artificial, Proceso de imágenes, Imagen digital, Rostros, OpenCV