K-nn Algorithm for Fast Infant Pain Detection

摘要

In this paper, pain assessment is explained and reviewed for detecting facial changes of patient in a hospital in Neonatal Intensive Care Unit (ICU). The facial changes are most widely represented by eyes and mouth movements. The proposed system uses color images and it consists of three modules. The first module implements skin detection to detect the face. Secondly, extracts the features of faces by processing the image and measuring certain dimensions face regions based on the FFT. Finally a knn classifier used to classify the movements. From the experiments, it is found that the identification rate of reaches 90.12%.