Title :
AR Model for infant pain anxiety recognition using Fuzzy k-NN
Author :
Naufal Mansor, M. ; Nazri Rejab, M. ; Hi-Fi Syam, S. ; Hi-Fi Syam B, A.
Author_Institution :
Sch. of Mechatron. Eng., Univ. Malaysia Perlis, Kangar, Malaysia
Abstract :
Pain Assessment in Neonatal has been discussed recently nowadays. A rapid research, equipment and pain course has yet been improved. However, the robustness, accurate and fast pain scheme is yet far beyond the schedule comparing to the pain assessment for the adult patient. Thus, an infant pain detection scheme is been proposed based on Autoregressive Model (AR Model) and Fuzzy k-NN. The accuracy result is quite promising around 90.77%.
Keywords :
autoregressive processes; emotion recognition; face recognition; medical image processing; paediatrics; AR model; autoregressive model; fuzzy k-NN; infant pain anxiety recognition; infant pain detection scheme; neonates; pain assessment; Accuracy; Educational institutions; Face; Face detection; Pain; Pediatrics; Skin; AR Model; Detection of facial changes; Fuzzy k-NN classifier; NICU patient;
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.2012.6324598
