Real-time learner expressive gestures analysis using in EMASPEL framework

Author

Dammak, Majdi ; Ben Ammar, Mohamed ; Alimi, Adel M.

Author_Institution

REGIM: Res. Group on Intell. Machines, Univ. of Sfax, Sfax, Tunisia

fYear

2011

fDate

4-6 April 2011

Firstpage

777

Lastpage

781

Abstract

Emotions recognition is a young field, where a growing maturity implies new needs in terms of modelling and integration in the existing models. Based on our previous work (EMASPEL) and expressive gesture analysis; this paper deals with the problem of Emotion Recognition System (ERS); using a camera and no other special tools, we suggest an architecture for an embedded ERS with learner motion analyses detected in a learning framework.

Keywords

emotion recognition; intelligent tutoring systems; multi-agent systems; peer-to-peer computing; emotion recognition system; emotional multiagent system for peer-to-peer e-learning framework; learner motion analysis; real-time learner expressive gestures analysis; Computer architecture; Conferences; Emotion recognition; Engineering education; Face; Gesture recognition; Humans; emotion recognition system; expressive gestures; human behavior; motion tracker; social signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Engineering Education Conference (EDUCON), 2011 IEEE

Conference_Location

Amman

Print_ISBN

978-1-61284-642-2

Type

conf

DOI

10.1109/EDUCON.2011.5773227

Filename

5773227

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3201375