中国司法鉴定Issue(1)：45-54,10.DOI:10.3969/j.issn.1671-2072.2025.01.006
电子鼻性能的影响因素及人体气味识别研究
Affecting Factors of the Electronic Nose Performance and Application in Human Odor Recognition
摘要
Abstract
Objective This study aims to evaluate the performance of a self-developed electronic nose under different experimental conditions and explore its application in human odor recognition,particularly for gender classification using convolutional neural network(CNN)algorithms.Methods Firstly,the performance of the electronic nose was evaluated using acetone,ethanol,and isoprene as target gases with a concentration of 2×10⁻⁶ mol/m3,under gas flow rates ranging from 500 to 2 500 mL/min.Multiple factors,including flow rate,enrichment time,storage medium,and storage time,were considered in the experiments.Secondly,odor samples were collected from 25 male and 25 female participants,and gender classification of the gas samples was performed using feature data obtained from the electronic nose,combined with a CNN algorithm.Results The electronic nose performed best at gas flow rates of 1 500-2 000 mL/min.The use of aluminum foil bags resulted in minimal gas attenuation and better preservation.The optimal enrichment time for detection was 10 minutes.The gender classification accuracy based on hand and foot odors was as follows:left hand 96.55%,right hand 93.10%,left foot 100%,and right foot 96.55%.Conclusion This study demonstrates that optimizing experimental conditions significantly improves the performance of the electronic nose.Furthermore,the integration of CNN algorithms proves effective in human odor recognition,achieving high classification accuracy and providing a feasible solution for practical application of electronic noses in human odor analysis.关键词
高维传感器阵列/电子鼻/卷积神经网络/人体气味识别Key words
high dimensional sensor array/electronic nose/convolutional neural network(CNN)/human odor recognition分类
政治法律引用本文复制引用
茅丽文,宋歌,董林沛,任昕昕,胡庆敏,徐甲强..电子鼻性能的影响因素及人体气味识别研究[J].中国司法鉴定,2025,(1):45-54,10.基金项目
"十四五"国家重点研发计划(2022YFC3320700) （2022YFC3320700）
国家自然科学基金项目(62271299,22302118) （62271299,22302118）
北京市科技新星计划(20230484316). （20230484316）
