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Design and Implementation of a Facial Expression Response Analysis System

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Frontier Computing (FC 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 422))

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Abstract

This study implemented a facial expression analysis system. The system can capture facial images of students via webcam and analyze facial expressions of students towards learning contents with different difficulties and a relationship between social interaction and learning effectiveness. The system selected ten face feature points for identification of 11 facial action units. Then these action units are classified into positive, neutral and negative social interactions by using a rule-based expert system.

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References

  1. P. Ekman, “Emotions Revealed: Understanding Faces and Feelings,” Weidenfeld & Nicolson, 2003.

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  2. P. Ekman and W. V. Friesen, “The Facial Action Coding System: A Technique for The Measurement of Facial Movement”, Consulting Psychologists Press, San Francisco, 1978.

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  3. D. S. Bolme, M. Strout and J. R. Beveridge, “FacePerf: Benchmarks for Face Recognition,” Proceedings of the International Symposium on Workload Characterization, 2007, pp. 114–119.

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  4. J. Whitehill and C. W. Omlin, “Haar Features for FACS AU Recognition,” Proceedings of the International Conference on Automation Face and Gesture Recognition, 2006, pp. 5–9.

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Acknowledgements

The authors greatly appreciate the financial support provided by Taiwan’s Ministry of Science and Technology, the Republic of China under contract No. MOST 104-2511-S-005-002.

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Authors and Affiliations

  1. Department of Management Information Systems, National Chung-Hsing University, Taichung, Taiwan

    Kuan-Cheng Lin & Kun-Hsiang Chiang

  2. Department of Information Technology, Overseas Chinese University, Taichung, Taiwan

    Kuan-Cheng Lin, Kun-Hsiang Chiang & Jason C. Hung

Authors
  1. Kuan-Cheng Lin
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  2. Kun-Hsiang Chiang
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  3. Jason C. Hung
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Corresponding author

Correspondence to Jason C. Hung .

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Editors and Affiliations

  1. School of Computer Science and Engineering, University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Neil Y. Yen

  2. Department of Information Technology, Overseas Chinese University, Taichung, Taiwan

    Jason C Hung

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© 2018 Springer Nature Singapore Pte Ltd.

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Lin, KC., Chiang, KH., Hung, J.C. (2018). Design and Implementation of a Facial Expression Response Analysis System. In: Yen, N., Hung, J. (eds) Frontier Computing. FC 2016. Lecture Notes in Electrical Engineering, vol 422. Springer, Singapore. https://doi.org/10.1007/978-981-10-3187-8_48

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  • DOI: https://doi.org/10.1007/978-981-10-3187-8_48

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3186-1

  • Online ISBN: 978-981-10-3187-8

  • eBook Packages: EngineeringEngineering (R0)

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