摘要
基于改进的经验模态分解和谱峭度法设计了一种新型的红外探测实验教学平台。该平台应用改进的人体移动特征频率提取新方法,能对红外检测区域内的人体移动输出正确的报警信息。通过理论分析与实验验证表明:相比普通被动红外传感器,该平台提高了识别人体移动的准确率,具有较好的外部环境抗干扰能力。该平台的教学应用可以提高学生的动手实践与创新能力,为开放式实验教学做出了有益的探索和实践。
A new infrared detection experimental teaching platform is designed based on the improved empirical mode decomposition and spectral kurtosis method. The platform can make the correct alarming information on the human body movement in the infrared detection area by the use of the improved body movement characteristic frequency extracting method. Through theoretical analysis and experiment verification, it is shown that compared with the passive infrared detector, this platform can improve the accuracy of human body movement recognition and obtain the better anti-interference ability of external environment. The teaching application of this platform can improve students’ hands-on practice and innovation ability and make beneficial exploration and practice for open experiment teaching.
作者
陈东毅
陈建国
李玉榕
CHEN Dongyi;CHEN Jianguo;LI Yurong(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,China;Fujian Key Lab of Medical Institute and Pharmaceutical Technology,Fuzhou University,Fuzhou 350108,China)
出处
《实验技术与管理》
CAS
北大核心
2020年第6期107-111,共5页
Experimental Technology and Management
基金
国家自然科学基金资助项目(61773124)
福建省教育厅科研资助项目(JAT170109)
福州大学一流本科教育教学改革研究项目(FDJG20190030)。
关键词
人体移动
特征频率
经验模态分解
谱峭度
红外检测
human body movement
characteristic frequency
empirical mode decomposition
spectral kurtosis
infrared detection
