Welcome to the InfoSci Platform
Reference Hub3
The Multi-Agents Architecture for Emotion Recognition: Case of Information Retrieval System

The Multi-Agents Architecture for Emotion Recognition: Case of Information Retrieval System

Mohamed Néji, Ali Wali, Adel M. Alimi
Copyright: © 2014 |Volume: 2 |Issue: 1 |Pages: 13
ISSN: 2166-7160|EISSN: 2166-7179|EISBN13: 9781466656598|DOI: 10.4018/ijsi.2014010106
Cite Article Cite Article

MLA

Néji, Mohamed, et al. "The Multi-Agents Architecture for Emotion Recognition: Case of Information Retrieval System." IJSI vol.2, no.1 2014: pp.73-85. http://doi.org/10.4018/ijsi.2014010106

APA

Néji, M., Wali, A., & Alimi, A. M. (2014). The Multi-Agents Architecture for Emotion Recognition: Case of Information Retrieval System. International Journal of Software Innovation (IJSI), 2(1), 73-85. http://doi.org/10.4018/ijsi.2014010106

Chicago

Néji, Mohamed, Ali Wali, and Adel M. Alimi. "The Multi-Agents Architecture for Emotion Recognition: Case of Information Retrieval System," International Journal of Software Innovation (IJSI) 2, no.1: 73-85. http://doi.org/10.4018/ijsi.2014010106

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

The author's research focuses on the problem of Information Retrieval System (IRS) that integrates the human emotion recognition. This system must be able to recognize the degree of satisfaction of the user for the result found through its facial expression, its physiological state, its gestures and its voice. This paper is an algorithm for recognizing the emotional state of a user during a search session in order to issue the relevant documents that the user needs. The authors also present the architecture agent of the envisaged system and the organizational model.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.