曲阜师范大学学报（自然科学版）2024，Vol.50Issue(3)：96-102,7.DOI:10.3969/j.issn.1001-5337.2024.3.096
基于YOLOv5的微表情识别技术研究
Research on micro-expression recognition technology based on YOLOv5
摘要
Abstract
To solve the problems of small data sets,weak generalization ability and higher requirements for equipment and GPU of micro-expression recognition system,three mainstream data sets are fused and screened,and a multi-source expression data set was reconstructed.The problem of poor generalization a-bility was solved by incorporating some macro-expressions into the micro-expression data set.By training and testing based on YOLOv5 model,a relatively portable micro-expression recognition system is ob-tained.The results show that the model generalization ability is improved after the improved data set train-ing.The recognition accuracy of the trained model on the Z-MES micro-expression data set is 79.4%,which is better than before the improvement.关键词
微表情识别/YOLOv5/数据集Key words
micro-expression recognition/YOLOv5/dataset分类
信息技术与安全科学引用本文复制引用
张山山,胡志慧..基于YOLOv5的微表情识别技术研究[J].曲阜师范大学学报（自然科学版）,2024,50(3):96-102,7.基金项目
湖北省教育科学规划重点课题(2020GA045) （2020GA045）
十堰市科技计划项目(19Y134). （19Y134）
