Image Classification Methods Applied in Immersive Environments for Fine Motor Skills Training in Early Education

Image Classification Methods Applied in Immersive Environments for Fine Motor Skills Training in Early Education

Fine motor skills allow to carry out the execution of crucial tasks in people's daily lives, increasing their independence and self-esteem. Among the alternatives for working these skills, immersive environments are found providing a set of elements arranged to have a haptic experience through...

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Bibliographic Details
Main Authors: Andrés Ovidio Restrepo Rodríguez, Maddyzeth Ariza Riaño, Paulo Alonso Gaona-García, Carlos Enrique Montenegro-Marin, Íñigo Sarría Martínez Mendivil
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2019-12-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
augmented reality
convolution neural network
decision tree
image recognition
immersive environment
k-nearest neighbors
support vector machine
Online Access:http://www.ijimai.org/journal/node/3534

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