Emotion experience: una herramienta para medir la experiencia de usuario en niños a través de las emociones
In this work we indentify the emotions that allow evaluate the children user experience, also we test the facial recognition techniques, with the purpose of set the most optimum algorithm to be implemented in the development of Emotion Experience system. As well, in the facial recognition proccess i...
| Autor Principal: | Gutiérrez Beltrán, Erika Jissel |
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| Otros Autores: | Duque Hoyos, Luis Andrés |
| Formato: | info:eu-repo/semantics/bachelorThesis |
| Idioma: | spa |
| Publicado: |
Universidad de San Buenaventura - Cali
2017
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| Materias: | |
| Acceso en línea: |
http://hdl.handle.net/10819/4751 |
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| Sumario: |
In this work we indentify the emotions that allow evaluate the children user experience, also we test the facial recognition techniques, with the purpose of set the most optimum algorithm to be implemented in the development of Emotion Experience system. As well, in the facial recognition proccess involves a data set that allows the training of the system through prior knowledge, therefore it is created a database of Children‘s face images where they are subjected to a pre-processing to meet the requirements and can be used by the recognition algorithms. The most optimal model for the recognition of emotions is designed and the prototype tests are carried out with the students of the Liceo San José educational institution. To evaluate facial recognition techniques, we have considered three variables that allow to measure the performance of each technique. These variables are defined by the time it takes the system to learn, the Euclidean distance and the error rate, which corresponds to the emotion recognition percentage, what will be discussed in the results and analysis chapter |
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