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Deep Learning Model for Detection of Pain Intensity from Facial Expression

  • Jeffrey SoarEmail author
  • Ghazal Bargshady
  • Xujuan Zhou
  • Frank Whittaker
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10898)

Abstract

Many people who are suffering from a chronic pain face periods of acute pain and resulting problems during their illness and adequate reporting of symptoms is necessary for treatment. Some patients have difficulties in adequately alerting caregivers to their pain or describing the intensity which can impact on effective treatment. Pain and its intensity can be noticeable in ones face. Movements in facial muscles can depict ones current emotional state. Machine learning algorithms can detect pain intensity from facial expressions. The algorithm can extract and classify facial expression of pain among patients. In this paper, we propose a new deep learning model for detection of pain intensity from facial expressions. This automatic pain detection system may help clinicians to detect pain and its intensity in patients and by doing this healthcare organizations may have access to more complete and more regular information of patients regarding their pain.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Jeffrey Soar
    • 1
    Email author
  • Ghazal Bargshady
    • 1
  • Xujuan Zhou
    • 1
  • Frank Whittaker
    • 2
  1. 1.University of Southern QueenslandQueenslandAustralia
  2. 2.Nexus eCareMelbourneAustralia

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