计算机工程与应用2018，Vol.54Issue(3)：172-177,6.DOI:10.3778/j.issn.1002-8331.1608-0228
基于模糊粗糙集的睡姿压力图像识别
Sleep posture pressure image recognition based on fuzzy-rough set theory
摘要
Abstract
Sleep posture management,as one of the indicators of evaluating sleep quality and preventing pressure ulcer and respiration related diseases,is important for the nursing care of bedridden patients and breath disorder patients.In this paper,an unconstrained fuzzy-rough set algorithm is proposed and applied to recognize sleep posture.Firstly,the geometric features are extracted from the static pressure image obtained from a flexible pressure sensor array.Then,in the fuzzy rough set algorithm,the characteristic values for the recognition are analyzed and the continuous pressure distribution is discretized and converted to fuzzy decision table to identify sleep posture effectively by eliminating redundant information and inferring fuzzy decision rules.Experimental results show that the proposed algorithm can achieve a high accuracy of 92.9％for the typical sleep posture recognition,which is much higher than the existing algorithms.关键词
睡姿识别/压力图像/模糊粗糙集/图像分类Key words
sleep posture recognition/press image/fuzzy-rough set/image classification分类
信息技术与安全科学引用本文复制引用
任志斌,李洋,郭士杰,郭志红,刘秀丽..基于模糊粗糙集的睡姿压力图像识别[J].计算机工程与应用,2018,54(3):172-177,6.基金项目
河北省教育厅重点项目(No.50020102). （No.50020102）
