Although OpenFace has shown state-of-the-art results in general purpose AU detection tasks, it could not accurately detect AUs in our Pain-ICU dataset (F1-score 0.42). To address this problem, we trained the AU R-CNN model on our Pain-ICU dataset, resulting in a satisfactory average F1-score 0.77.
We conduct two tests. In Test 1, participants are grouped based on their facial expressions toward pain and the accuracy of models is evaluated in classifying ...
In this study, we build the machine learning model that can handle graphic information including eyelids, gaze, head pose, and facial expression to make a ...
Oct 18, 2024 · Face Recognition Using Modified OpenFace ... Face recognition is a widely utilized biometric method due to its natural and non-intrusive approach.
Compared with human FACS coding, the accuracy of the OpenFace© is 90% for constrained images and 80% for real-world images. However, the validity of OpenFace© ...
Automated facial recognition system using deep learning for pain ...
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Jun 5, 2024 · Results. The InceptionV3 model demonstrated promising results, achieving 62.67% accuracy and a 61.12% F1 score on the CP-PAIN dataset.
Apr 12, 2024 · It is reasonable to believe that AI can accurately evaluate pain intensity from facial images. Moreover, the study quality and risk of bias were ...
In this study, we evaluated the performance of OpenFace an open-source facial behavior analysis tool, and AU R-CNN on the real-world ICU data. Presence of ...
In 2018, Chen et al. [16] presented a review focusing on automated pain detection approaches using the Facial Action Coding System (FACS). The authors of this ...
Oct 14, 2022 · They reported 92.30% classification accuracy. Studies of pain detection using facial images among adults generally garnered less impressive ...
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