IRENE: Context aware mood sharing for social network

Author

Haque, Munirul M. ; Adibuzzaman, Md ; Polyak, David ; Jain, Niharika ; Ahamed, Sheikh I. ; Liu, Lin

Author_Institution

Dept. of Math., Stat. & Comput. Sci., Marquette Univ., Milwaukee, WI, USA

fYear

2011

fDate

12-14 Dec. 2011

Firstpage

1

Lastpage

8

Abstract

Social networking sites like Facebook, twitter, and myspace are becoming overwhelmingly powerful media in today´s world. Facebook has 500 million active users and twitter has 190 million visitors per month and increasing each second. On the other hand number of smart phone users has crossed 45 millions. Now we are focusing on building an application that will connect these two revolutionary spheres of modern science that has huge potential in different sectors. IRENE a facial expression based mood detection model has been developed by capturing images while the users use webcam supported laptops or mobile phones. This image will be analyzed to classify one of several moods. This mood information will be shared in the user profile of Facebook according to privacy settings of the user. Several activities and events will also be generated based on the identified mood.

Keywords

cognition; face recognition; laptop computers; mobile computing; mobile handsets; social networking (online); Facebook; IRENE; context aware mood sharing; facial expression based mood detection model; myspace; privacy settings; smart phone users; social networking sites; twitter; webcam supported laptops; Face recognition; Facebook; Image color analysis; Mobile communication; Mood; Skin; Training; eigenface; eigenspac; facial expression detection; mood; social networking;

fLanguage

English

Publisher

ieee

Conference_Titel

Service-Oriented Computing and Applications (SOCA), 2011 IEEE International Conference on

Conference_Location

Irvine, CA

Print_ISBN

978-1-4673-0318-7

Electronic_ISBN

978-1-4673-0317-0

Type

conf

DOI

10.1109/SOCA.2011.6166228

Filename

6166228