Tipo de publicación: Conference Proceedings
Publicado en: International Florida Artificial Intelligence Research Society Conference
Autores- Cristian Quesada
- Marcelo Jenkins
Investigadores del CITIC asociados a la publicación
Dr. Christian Quesada-López
Dr. Marcelo Jenkins Coronas
Proyecto asociado a la publicación
Plataforma de servicios nutricionales ofrecida a través de dispositivos móviles para el monitoreo de metas relacionadas con alimentación saludable
- expert systems
- mobile software engineering
- nutritional diagnosis
- obesity
- web services
This paper describes NUTRITION UCR, a prototype expert system for human nutritional diagnosis developed in Java on Android using a service-oriented architecture. The system runs on mobile devices and offers smart features that evaluate the nutritional condition of an individual by assessing their physical characteristics and eating habits. We explain the knowledge engineering process used to develop the system, overview the system architecture and selected design tools, and summarize some preliminary results from the prototype implementation.