Currently, clinicians observe pain-related behaviors and use patient self-report measures in order to determine pain severity. This paper reviews the evidence when facial expression is used as a measure of pain. We review the literature reporting the relevance of facial expression as a diagnostic measure, which facial movements are indicative of pain, and whether such movements can be reliably used to measure pain. We conclude that although the technology for objective pain measurement is not yet ready for use in clinical settings, the potential benefits to patients in improved pain management, combined with the advances being made in sensor technology and artificial intelligence, provide opportunities for research and innovation.

Aim: Assessing pain perception through self-reports may not be possible in some patients, for example, sedated. Our group considered if facial electromyography (fEMG) could provide a useful alternative, by testing on healthy participants subjected to experimental pain. Materials & methods: Activity of four facial muscles was recorded using fEMG alongside self-reported pain scores and physiological parameters. Results: The pain stimulus elicited significant activity on all facial muscles of interest as well as increases in heart rate. Activity from two of the facial muscles correlated significantly against pain intensity. Conclusion: Pain perception can be assessed through fEMG on healthy participants. We believe that this model would be valuable to clinicians that need to diagnose pain perception in circumstances where verbal reporting is not possible.