Publication: Desarrollo de una aplicación en Android para la estimación automática de carbohidratos y nutrientes alimenticios mediante captura y análisis de imágenes aplicando algoritmos de Inteligencia artificial
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2016
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Abstract
Este trabajo tiene como meta el desarrollo de una App para Android capaz de realizar una foto y reconocer el alimento que está en la misma para luego mostrar:
- La información nutricional del alimento (haciendo énfasis en los carbohidratos).
- Mostrarle al paciente cual es la ración recomendada de dicho alimento para su dieta.
- Grabar toda esta información (siempre proporcional a la cantidad ingerida), en el histórico del paciente.
Para este último punto se realizara la integración de esta App con la plataforma glUCModel la cual lleva el histórico de los pacientes junto con sus datos.
El objetivo Final es el de ayudar al paciente diabético en su control diario de la enfermedad, proporcionando una herramienta de estimación de carbohidratos y nutrientes fiable.
This work is aimed at developing an app for Android able to take a picture and recognize the food inside it and show: - The information nutrition food (with emphasis on carbohydrates). - Show to the patient which is the recommended food ration for their diet. - Record all this information (always proportional to the amount of food ingested), in the patient history. For this last point the integration of this app is held with the platform glUCModel which carries the history of the patients along with other data. The Final aim is to help the diabetic patient in their daily control of the disease, providing a reliable tool with which estimate carbohydrates and nutrients.
This work is aimed at developing an app for Android able to take a picture and recognize the food inside it and show: - The information nutrition food (with emphasis on carbohydrates). - Show to the patient which is the recommended food ration for their diet. - Record all this information (always proportional to the amount of food ingested), in the patient history. For this last point the integration of this app is held with the platform glUCModel which carries the history of the patients along with other data. The Final aim is to help the diabetic patient in their daily control of the disease, providing a reliable tool with which estimate carbohydrates and nutrients.
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Trabajo de Fin de Grado, Universidad Complutense, Facultad de Informática, Departamento de Arquitectura de Computadores y Automática, Curso 2015/2016