Title :
Pain assessment using neural network classifier
Author :
Naufal Mansor, M. ; Hi-Fi Syam, S. ; Nazri Rejab, M. ; Hi-Fi Syam B, A.
Author_Institution :
Sch. of Mechatron. Eng., Univ. Malaysia Perlis, Kangar, Malaysia
Abstract :
Both the timing of facial actions and the configuration are important in emotion expression and recognition. To investigate the timing and configuration of pain facial actions, in this paper, pain assessment is explained and reviewed for detecting based on skin detection using color detection and SVD as feature extraction. Finally a Neural Network classifier used to classify the movements. From the experiments, it is found that the identification rate of reaches 93.75%.
Keywords :
emotion recognition; face recognition; feature extraction; image classification; image colour analysis; medical computing; neural nets; patient monitoring; singular value decomposition; skin; NICU patient; SVD; color detection; emotion expression; emotion recognition; feature extraction; movement classification; neural network classifier; pain assessment; pain facial action configuration; pain facial action timing; singular value decomposition; skin detection; Educational institutions; Face; Face detection; Monitoring; Pain; Pediatrics; Skin; Detection of facial changes; NICU patient; Neural Network classifier; Singular Value Decomposition;
Conference_Titel :
Instrumentation & Measurement, Sensor Network and Automation (IMSNA), 2012 International Symposium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4673-2465-6
DOI :
10.1109/MSNA.2012.6324599
