dc.contributorCeli Sánchez, Carmen Johanna
dc.creatorGarcía Gualoto, Alex Ricardo
dc.creatorLópez Quezada, Luis Fernando
dc.date.accessioned2022-08-03T17:26:18Z
dc.date.accessioned2022-10-20T17:59:51Z
dc.date.available2022-08-03T17:26:18Z
dc.date.available2022-10-20T17:59:51Z
dc.date.created2022-08-03T17:26:18Z
dc.date.issued2022-08
dc.identifierhttp://dspace.ups.edu.ec/handle/123456789/23060
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4566215
dc.description.abstractThis degree project presents the development of an interactive virtual environment as teaching-learning of the respiratory system and its operation, this is generated so that it contributes as an educational support tool at all levels of learning. This environment is created using the Unity development platform in conjunction with Leap Motion and Blender, which is responsible for the design of the models of the structure of the human respiratory system. The use of virtual reality is part of this project that includes the modeling of the structure of the respiratory system in terms of its function and visualization making the user get a unique experience and is as close to reality. The interface of the environment has a menu that presents 3 learning options, 3D Interaction, Respiratory Museum and Know with Artificial Intelligence (AI). The Leap Motion device will allow students to wirelessly interact and manipulate each part of the respiratory system in 3D in the virtual environments by making hand gestures on the device, and relevant information about the pointed object is displayed for informational purposes.
dc.languagespa
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/ec/
dc.rightsopenAccess
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Ecuador
dc.subjectINGENIERÍA ELECTRÓNICA
dc.subjectREALIDAD VIRTUAL
dc.subjectAPARATO RESPIRATORIO
dc.subjectSISTEMAS INTERACTIVOS DE COMPUTADOR
dc.subjectLEAP MOTION
dc.subjectAPRENDIZAJE AUTOMÁTICO (INTELIGENCIA ARTIFICIAL)
dc.titleEntorno virtual para el aprendizaje del sistema respiratorio mediante el uso de inteligencia artificial y leap motion
dc.typebachelorThesis


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