Publications by authors named "Muhammad Mokhzaini Bin Azizan"
Article Synopsis
- The study focuses on classifying pain intensity from facial images using a novel model that segments images into dynamic-sized "shutter blinds" for analysis.
- It employs a pre-trained deep learning network (DarkNet19) to extract features from these segments and uses a k-nearest neighbor classifier for accurate classification.
- The model achieved over 95% accuracy on datasets from two public pain expression databases, suggesting its potential utility in aiding doctors to detect pain non-verbally in patients who cannot communicate.
