A Mobile Educational Application Based on Transfer Learning and Computer Vision for Teaching Semantics Fields in Children with Intellectual Disabilities

Nowadays, informfation and communication technologies (ICT) are having major changes in almost all areas of society, there has been mainly a growing interest in educational technology. For this reason, in the following research, within the framework of a mobile application, an artificial vision module based on deep learning has been developed, which consists of the recognition and classification of images of 3 semantic fields (fruits, vegetables, and meats) and the recognition of their subclasses respectively by object detection. There is also the development of a serious game that consists of healthy eating which is intended to improve the development of the teaching-learning process in children and teenagers so that this game can be inclusive and equitable.