Fuzzy k-NN and k-NN Algorithm for fast Infant Cues Detection

摘要：

　　In this paper,tremble stage assessment is explained and reviewed for detecting facial changes of patient in a hospital in Neonatal Intensive Care Unit (NICU).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 method to detect the face.Secondly,extracts the features of faces by processing the image and measuring certain dimensions face regions.Finally a knn and Fuzzy k-NN classifier used to classify the movements.From the experiments,it is found that the identification rate of reaches 93.30% and 70.25% respectively.

关键词： Infant Cues recognition Agitation LeveL Fuzzy k-NN Classifier and k-NN Classifier

作者: M.N. Mansor J. Ahmad Junoh, A.K S.Yaacob M. Hariharan S.N. Basah S. H. F. S. Ahmad Jamil M. L. Mohd Khidir M.N.Rejab K. M. Y. Ku Ibrahim A.H.F.S.Ahmad Jamil

作者单位: School of Mechatronic, University Malaysia Perlis, 01000, Kangar, Perlis, Malaysia Department of Pediatric, Hospital Tuanku Ampuan Fauziah, 01000, Jalan Kolam, Kangar, Perlis, Malaysi Department of Electrical, Politeknik Tuanku Syed Sirajuddin, 02600, Ulu Pauh , Perlis, Malaysia Department of Electrical, Politeknik Sultan Abdul Halim Muadzam Shah, 06000, Bandar Darul Aman, Jit

会议类型: 国际会议

会议名称: World Congress on Medical Physics and Biomedical Engineering (2012年医学物理及生物医学工程国际会议(IFMBE))

会议地点: 北京

会议语种:英文

页码: 1260-1263

在线出版日期: 2012-05-26（万方平台首次上网日期，不代表论文的发表时间）