
El presente articulo tiene como principal objetivo el desarrollo de un sistema que permita identificar las emociones de una persona mediante el reconocimiento de rostros utilizando inteligencia artificial. Para el desarrollo del sistema se tuvo como base el algoritmo básico de Eigenfaces o Análisis de Componente Principal, el cual es uno de los modelos de reconocimiento de rostros más utilizado. Así mismo fue utilizado el lenguaje Python y algunas de sus librerías disponibles como Numpy, OpenCV y Sklearn para la implementación.
Economics and Econometrics, Artificial intelligence, Urban Development and Economic Impact Analysis, Python (programming language), Artículos originales, Social Sciences, FOS: Humanities, Journal papers, Computer science, FOS: Sociology, Economics, Econometrics and Finance, Humanities, Operating system, Emergence of Knowledge Societies in the 21st Century, T1-995, Technology Integration, Technology (General), Art, Demography
Economics and Econometrics, Artificial intelligence, Urban Development and Economic Impact Analysis, Python (programming language), Artículos originales, Social Sciences, FOS: Humanities, Journal papers, Computer science, FOS: Sociology, Economics, Econometrics and Finance, Humanities, Operating system, Emergence of Knowledge Societies in the 21st Century, T1-995, Technology Integration, Technology (General), Art, Demography
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| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
