A Survey on Facial Expression Recognition Technology and Its Use in Virtual Systems

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Haleema Inam 1 Asma Malik 1 Marina Hayat 1 Aliya Ashraf 1

1. Department of Software Engineering, Fatima Jinnah Women University, The Mall Rawalpindi 46000, Pakistan

* Corresponding author.

DOI: https://doi.org/10.5815/ijem.2015.02.02

Received: 28 Mar. 2015 / Revised: 5 May 2015 / Accepted: 8 Jul. 2015 / Published: 8 Aug. 2015

Index Terms

Emotion, Facial Expression recognition, Mood Tacking, Moodmap app, Sensor


Human Facial expressions are the most expressive way to display their non verbal emotions. Human can easily detect and interpret faces to understand the emotions of the person in front of them. An important aspect of facial expression recognition is its implementation in the virtual domain. Different apps for auto-face recognition can be an important factor for the growth of components of natural human-machine interfaces. Many attempts are made from few years for the development of automated systems for which will detect human face expressions and in turn their moods. This paper gives a survey over the expertise used for human moods detection and recognition of facial expression recently.

Cite This Paper

Haleema Inam, Asma Malik, Marina Hayat, Aliya Ashraf,"A Survey on Facial Expression Recognition Technology and Its Use in Virtual Systems", IJEM, vol.5, no.2, pp.11-18, 2015. DOI: 10.5815/ijem.2015.02.02


[1]Alejandro Jaimes and NicuSebe, "Multimodal Human Computer Interaction: A Survey", FXPAL, Japan, Fuji Xerox Co.,Ltd. alex.jaimes@fujixerox.co.jp, University of Amsterdam, The Netherlands, nicu@science.uva.nl, Publishing 2007.

[2]MarenBennewitz, Felix Faber, Dominik Joho and Sven Behnke, "Intuitive Multimodal Interaction with Communication Robot Fritz", University of Freiburg, Computer Science Institute, Germany, Publishing2007.

[3]Christina Katsimerou, Judith A. Redi, "Neural prediction of the user's mood from visual input", Multimedia Computing Group, Delft University of Technology, The Netherlands {C.Katsimerou, J.A.Redi}@tudelft.nl, Publishing 2014.

[4]David F. Dinges, Robert L. Rider, Jillian Dorrian, Eleanor L. McGlinchey, Naomi L. Rogers,ZigaCizman, Siome K. Goldenstein, Christian Vogler, SundaraVenkataraman, and Dimitris N. Metaxas "Optical Computer Recognition of Facial Expressions Associated with Stress Induced by Performance Demands", Aviation, Space, and Environmental Medicine • Vol. 76, No. 6, Section II • June 2005.

[5]Xiaochao Yang, Chuang-Wen You, Hong Lu, Mu Lin, Nicholas D. Lane, and Andrew T. Campbell, "Visage: A Face Interpretation Engine for Smartphone Applications", Dartmouth College, 6211 Sudiko Lab, Intel Lab, 2200 Mission College Blvd, Santa Clara, CA 95054, USA, Microsoft Research Asia, Publishing 2013.

[6]Petra C. Schmid, Marianne Schmid Mast and Dario Bombari, "How Mood States Affect Information Processing During Facial Emotion Recognition: An Eye Tracking Study", Department of Work and Organizational Psychology, University of Neuchatel, Switzerland, 2011.

[7]Angela Fessl, Ver_onica Rivera-Pelayo, Viktoria Pammer and Simone Braun, "Mood Tracking in Virtual Meetings", FZI Research Center of Information Technologies, Karlsruhe, Germany, 2012.

[8]Dan Liu, Lie Lu and Hong-Jiang Zhang, "Automatic Mood Detection from Acoustic Music Data", Department of Automation Tsinghua University Beijing 100084 China, 2013.

[9]Tsen-Yao Chang, "EMOTIONAL PROBES" AS A USER-CENTRED METHODOLOGY FOR DESIGNING EMOTIONALLY-ENGAGED WEB INTERACTION, Department of creative Design, National Yunlin University of Science & Technology, Taiwan,2005.

[10]Robert LiKamWa, Yunxin Liu, Nicholas D. Lane and Lin Zhong, "MoodScope: Building a Mood Sensor from Smartphone Usage Patterns", Rice University, Houston, TX Microsoft Research Asia, Beijing, China, 2013.

[11]Bram van de Laar, "Emotion detection in music: A Survey", b.l.a.vandelaar@student.utwente.nl,2006.

[12]S.P.Khandait, Dr. R.C.Thool, P.D.Khandait, "Automatic Facial Feature Extraction and Expression Recognition based on Neural Network", Deptt of IT, KDKCE, Deptt. of IT, SGGSIET, Deptt. of Etrx, KDKCE, Nagpur, Maharashtra, India, Nanded, Maharashtra, India, Nagpu Maharashtra, India, prapti_khandait@yahoo.co.in.., rcthool@yahoo.com, 2012.

[13]SeungTaek Ryoo, "Emotion Affective Color Transfer", School of Computer Engineering Hanshin Univ. Osan City, South Korea, stryoo@hs.ac.kr,2014.

[14]SeungTaek Ryoo and Jae-Khun Chang, "Emotion Affective Color Transfer Using Feature Based Facial Expression Recognition", School of Computer Engineering Hanshin Univ. Osan City, South Korea, {stryoo, jchang}@hs.ac.kr, 2013.

[15]Vinay Bettadapura, "Face Expression Recognition and Analysis: The State of the Art", College of Computing, Georgia Institute of Technology, vinay@gatech.edu, 2012.