Deep-Learning-Based Models for Pain Recognition: A Systematic Review

Rasha M. Al-Eidan, Hend Al-Khalifa, AbdulMalik Al-Salman
2020 Applied Sciences  
Traditional standards employed for pain assessment have many limitations. One such limitation is reliability linked to inter-observer variability. Therefore, there have been many approaches to automate the task of pain recognition. Recently, deep-learning methods have appeared to solve many challenges such as feature selection and cases with a small number of data sets. This study provides a systematic review of pain-recognition systems that are based on deep-learning models for the last two
more » ... rs. Furthermore, it presents the major deep-learning methods used in the review papers. Finally, it provides a discussion of the challenges and open issues.
doi:10.3390/app10175984 fatcat:fge2g2pzmfcgnboizubgwflt7y