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Advanced Computational Intelligence Paradigms in Healthcare – 1 pp 225–253Cite as

Introduction to Neonatal Facial Pain Detection Using Common and Advanced Face Classification Techniques

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Part of the Studies in Computational Intelligence book series (SCI,volume 48)

Keywords

  • Principal Component Analysis
  • Facial Expression
  • Face Recognition
  • Linear Discriminant Analysis
  • Face Image

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. Computer Information Systems, Missouri State University, 901 S. National Springfield, 65804, MO, USA

    Sheryl Brahnam

  2. DEIS, IEIIT – CNR Università di Bologna, Viale Risorgimento 2, 40136, Bologna, Italy

    Loris Nanni

  3. Computer Information Systems, Missouri State University, 901 S. National, 65804, Springfield, MO, USA

    Randall Sexton

Authors
  1. Sheryl Brahnam
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  2. Loris Nanni
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  3. Randall Sexton
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Editor information

Editors and Affiliations

  1. Department of Radiology, Harvard University, Blossom Court 75, 2114, Boston, USA

    Prof. Hiro Yoshida

  2. The Queen Elizabeth Hospital, Woodville Road, 5011, Woodville, Australia

    Dr. Ashlesha Jain

  3. Independant Living Centre, Blacks Road 11, 5095, Adelaide, Australia

    Ajita Ichalkaranje

  4. School of Electrical and Information Engineering, University of South Australia, Mawson Lakes Campus, 5095, South Australia, Australia

    Prof. Lakhmi C. Jain

  5. Department of Communications, Department of Communications, IT and the Arts, ACT 2601, Canberra, Australia

    Dr. Nikhil Ichalkaranje (Senior Technology Advisor) (Senior Technology Advisor)

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Brahnam, S., Nanni, L., Sexton, R. (2007). Introduction to Neonatal Facial Pain Detection Using Common and Advanced Face Classification Techniques. In: Yoshida, H., Jain, A., Ichalkaranje, A., Jain, L.C., Ichalkaranje, N. (eds) Advanced Computational Intelligence Paradigms in Healthcare – 1. Studies in Computational Intelligence, vol 48. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-47527-9_9

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