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

Volume

2

fYear

2012

Firstpage

377

Lastpage

379

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation & Measurement, Sensor Network and Automation (IMSNA), 2012 International Symposium on

Conference_Location

Sanya

Print_ISBN

978-1-4673-2465-6

Type

conf

DOI

10.1109/MSNA.2012.6324599

Filename

6324599