新华航空 Pub Date : 2022-10-10 DOI: 10.1145/3552465.3555038

Shaoyuan Lu, Jingting Li, Yan Wang, Zizhao Dong, Su-Jing Wang, Xiaolan Fu

{"title":"A More Objective Quantification of Micro-Expression Intensity through Facial Electromyography","authors":"Shaoyuan Lu, Jingting Li, Yan Wang, Zizhao Dong, Su-Jing Wang, Xiaolan Fu","doi":"10.1145/3552465.3555038","DOIUrl":"https://doi.org/10.1145/3552465.3555038","url":null,"abstract":"Micro-expressions are facial expressions that individuals reveal when trying to hide their genuine emotions. It has potential applications in areas such as lie detection and national security. It is generally believed that micro-expressions have three essential characteristics: short duration, low intensity, and local asymmetry. Most previous studies have investigated micro-expressions based on the characteristic of short duration. To our knowledge, no empirical studies have been conducted on the low-intensity characteristic. In this paper, we use facial EMG for the first time to study the characteristic of low intensity for micro-expression. In our experiment, micro-expressions were elicited from subjects and simultaneously collected their facial EMG through the second-generation micro-expression elicitation paradigm. We collected and annotated 33 macro-expressions and 48 micro-expressions. By comparing the two indicators of EMG :(1) the percentage of apex value in maximum voluntary contraction (MVC%) and (2) the area under EMG signal curve (integrated EMG, iEMG), we found that the MVC% and iEMG of micro-expression were significantly smaller than that of macro-expression. The result demonstrates that the intensity of micro-expression is significantly smaller than that of macro-expression.","PeriodicalId":64586,"journal":{"name":"新华航空","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83097955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

MTSN: A Multi-Temporal Stream Network for Spotting Facial Macro- and Micro-Expression with Hard and Soft Pseudo-labels 基于硬、软伪标签识别面部宏、微表情的多时间流网络

新华航空 Pub Date : 2022-10-10 DOI: 10.1145/3552465.3555040

Gen-Bing Liong, Sze‐Teng Liong, John See, C. Chan

引用次数: 9

Vision based Physiological and Emotional Signal Analysis with Application to Mental Disorder Diagnosis 基于视觉的生理和情绪信号分析及其在精神障碍诊断中的应用

新华航空 Pub Date : 2022-10-10 DOI: 10.1145/3552465.3554164

Hu Han

引用次数: 0

Proceedings of the 2nd Workshop on Facial Micro-Expression: Advanced Techniques for Multi-Modal Facial Expression Analysis 第二届面部微表情研讨会论文集:多模态面部表情分析的先进技术

新华航空 Pub Date : 2022-01-01 DOI: 10.1145/3552465

引用次数: 0

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