Infant pain medical aid with SUN Saliency Map and SVM classifier approach

This paper discussed the crucial demand regarding the scheme to translate the silence voice from the newborn. The infant can´t afford to express their feeling of pain by voice. Hence, we proudly present an infant pain recognition system to overcome this matter. We employed Saliency Using Natural statistics (SUN) Saliency Map as the feature extraction. We determine the condition of the infants (pain/no pain) with Support Vector Machine (SVM) Classifier. Several examples were conducted to evaluate the performance of the proposed method.