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Facial Expression Classification Using Machine Learning Approach: A Review

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Book cover Data Engineering and Intelligent Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 542 ))

Abstract

Automatic Facial Expression analysis has enthralled increasing attention in the research community in excess of two decades and its expedient in many application like, face animation, customer satisfaction studies, human-computer interaction and video conferencing. The precisely classifying different emotion is an essential problem in facial expression recognition research. There are several machine learning algorithms applied to facial expression recognition expedition. In this paper, we surveyed three different machine learning algorithms such as Bayesian Network, Hidden Markov Model and Support Vector machine and we attempt to answer following questions: How classification algorithm used its characteristics for emotion recognition? How various parameters in learning algorithm is devoted for better classification? What are the robust features used for training? Finally, we examined how advances in machine learning technique used for facial expression recognition?

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Amrita University, Coimbatore, India

    A. Baskar

  2. TIFAC-CORE in Cyber Security, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Amrita University, Coimbatore, India

    T. Gireesh Kumar

Authors
  1. A. Baskar
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  2. T. Gireesh Kumar
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Corresponding author

Correspondence to A. Baskar .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Department of Computer Science and Engineering, CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  4. DVR and Dr. HS MIC College of Technology, Kanchikacherla, Andhra Pradesh, India

    B. Janakiramaiah

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Baskar, A., Gireesh Kumar, T. (2018). Facial Expression Classification Using Machine Learning Approach: A Review. In: Satapathy, S., Bhateja, V., Raju, K., Janakiramaiah, B. (eds) Data Engineering and Intelligent Computing. Advances in Intelligent Systems and Computing, vol 542 . Springer, Singapore. https://doi.org/10.1007/978-981-10-3223-3_32

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  • DOI: https://doi.org/10.1007/978-981-10-3223-3_32

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3222-6

  • Online ISBN: 978-981-10-3223-3

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