Title :
Facial emotion detection of smartphone games users
Author :
Heni, Nazih ; Hamam, Habib
Author_Institution :
Fac. of Eng., Univ. of Moncton, Moncton, NB, Canada
Abstract :
Since the emergence of smartphones, there is a noticeable shift in our daily lives from desktop use to mobile use while maintaining interactivity, improving the use of these devices. Mobile gaming is an area that can provide a very personalized way to enjoy life for smartphone users. Today, while smart devices have the ability to recognize facial expressions, robust recognition of facial expressions in real time remains a challenge due to difficulties in accurately extracting the most pertinent emotional characteristics. A valuable objective is to define a computerized system facilitating the design and implementation of behavior detection on mobile devices for various applications. Our work aims to detect emotions through the face recognition of a smartphone user in order to synthesize his behavior while playing.
Keywords :
computer games; emotion recognition; face recognition; mobile computing; smart phones; behavior detection; computerized system; facial emotion detection; facial expression recognition; mobile devices; mobile gaming; mobile use; smart devices; smartphone games users; Face; Face recognition; Feature extraction; Games; Image edge detection; Mouth; Real-time systems; behavior detection; facial expressions; recognition;
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on
Conference_Location :
Halifax, NS
Print_ISBN :
978-1-4799-5827-6
DOI :
10.1109/CCECE.2015.7129456