Real-time affective learner profile analysis using an EMASPEL framework

Abstract

This paper deals with the problem of Information Retrieval System (IRS) that integrate the user profile that contains novelty dimensions such as psychological state, emotional state, mental state and facial expression. In this paper, we propose an information retrieval system based on human behavior. The architecture of the proposed system is described in details. This IRS will be integrated in EMASPEL E-Learning Framework.