Open AccessImprovement of the Intelligent Tutor by Identifying the Face of the E-Learner's
Author(s) -
Dante I. Tapia,
Ricardo S. Alonso,
Juan F. De Paz,
Carolina Zato,
Fernando De la Prieta
Publication year - 2019
Publication title -
international journal of artificial intelligence (batam)/international journal of artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2686-3251
pISSN - 2407-7275
DOI - 10.36079/lamintang.ijai-0602.39
Subject(s) - computer science , hash function , tutor , realization (probability) , strengths and weaknesses , facial recognition system , code (set theory) , multimedia , cloud computing , feature (linguistics) , artificial intelligence , world wide web , human–computer interaction , computer security , feature extraction , operating system , programming language , set (abstract data type) , philosophy , statistics , linguistics , mathematics , epistemology
As part of our project which aims at the realization of a system named ASTEMOI In this article, we display a new and productive facial image representation based on the Local Sensitive Hash (LSH). This technique makes it possible to recognize the learners who follow their training in our learning platform. Once recognized, the student must be oriented towards an appropriate profile that takes into account his strengths and weaknesses. We also use a light processing module on the client device with a compact code so that we don’t need a lot of bandwidth, a lot of network transmission capacity to send the feature over the network, and to be able to index many pictures in a huge database in the cloud.