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Deep-Learning-Based Models for Pain Recognition: A Systematic Review
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
doi:10.3390/app10175984
fatcat:fge2g2pzmfcgnboizubgwflt7y