The Application of Facial Expression Recognition in Reducing Inaccuracy in Pain Scale Intensity Identification

Authors

  • Mohd Ariff Sulaiman
  • Nur Azaliah Abu Bakar Abu Bakar
  • Suraya Yaacob
  • Farashazillah Yahya

DOI:

https://doi.org/10.11113/oiji2021.9n2.157

Keywords:

Artificial Intelligence, Data Analytics, Facial Expression Recognition, Machine Learning, Pain Scale Intensity Identification

Abstract

The correct assessment is essential to ensure the proper treatment for the patient and pain is relieved. Thus, the inaccuracy in identifying the pain scale intensity has to be at the lowest point. However, many studies point out that the existing pain scale intensity identification is mainly based on human perception and individual pain endurance threshold. Therefore, the results can be varied and also being manipulated by the patients. This article aims to propose a Machine Learning technique to recognise and analyse facial expression recognition during pain assessment. The paper describes the relationship of the problem, solution and the impact of the solution. It further explains how the application of machine learning in pain detection can be applied starting from features selection dan datasets collection, followed by analysing and concludes by discussing the idea of improvements of the solution.

 

 

Author Biographies

Mohd Ariff Sulaiman

 

 

Nur Azaliah Abu Bakar Abu Bakar

 

 

Suraya Yaacob

 

 

Farashazillah Yahya

 

 

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Published

2021-12-21

How to Cite

Sulaiman, M. A. ., Abu Bakar, N. A. A. B., Yaacob, S., & Yahya, F. (2021). The Application of Facial Expression Recognition in Reducing Inaccuracy in Pain Scale Intensity Identification. Open International Journal of Informatics, 9(2), 29–38. https://doi.org/10.11113/oiji2021.9n2.157