International Journal of Reconfigurable and Embedded Systems (IJRES)
Vol 13, No 3: November 2024

Leveraging the learning focal point algorithm for emotional intelligence

Mansour, Salah Eddine (Unknown)
Sakhi, Abdelhak (Unknown)
Kzaz, Larbi (Unknown)
Sekkaki, Abderrahim (Unknown)



Article Info

Publish Date
01 Nov 2024

Abstract

One of the secrets of the success of the education process is taking into account the learner’s feelings. That is, the teacher must be characterized by high emotional intelligence (EI) to understand the student’s feelings in order to facilitate the indoctrination process for him. Within the framework of the project to create a robot teacher, we had to add this feature because of its importance. In this article, we create a computer application that classifies students' emotions based on deep learning and learning focal point (LFP) algorithm by analyzing facial expressions. That is, the robot will be able to know whether the student is happy, excited, or sad in order to deal with him appropriately.

Copyrights © 2024






Journal Info

Abbrev

IJRES

Publisher

Subject

Economics, Econometrics & Finance

Description

The centre of gravity of the computer industry is now moving from personal computing into embedded computing with the advent of VLSI system level integration and reconfigurable core in system-on-chip (SoC). Reconfigurable and Embedded systems are increasingly becoming a key technological component ...