A Comparison of the Affectiva iMotions Facial Expression Analysis Software With EMG for Identifying Facial Expressions of Emotion
A Comparison of the Affectiva iMotions Facial Expression Analysis Software With EMG for Identifying Facial Expressions of Emotion
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DOI：
10.3389/fpsyg.2020.00329
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发表时间：
2020-02-28
影响因子：
3.8
通讯作者：
Schacht, Annekathrin
中科院分区：
文献类型：
--
作者：
Kulke, Louisa;Feyerabend, Dennis;Schacht, Annekathrin
人类的面部表情表达情感，告知他人他们的情感状态。为了测量情绪的表达，面部肌电图（EMG）已被广泛使用，需要电极和技术设备。最近，已经开发了情感识别软件，其从人脸的视频记录中检测情感。然而，其有效性和与环境管理小组措施的可比性尚不清楚。本研究的目的是比较iMotions的Affectiva Affdex情绪识别软件与EMG测量的长颈肌和皱眉肌肌肉，关于其识别快乐，愤怒和中性面孔的能力。20名参与者模仿这些面部表情，同时记录视频和EMG。快乐和愤怒的表情都被软件和EMG检测到，而与软件相比，EMG更经常错误地将中性表情识别为负面。总体而言，EMG和软件值高度相关。总之，Affectiva Affdex软件可以识别面部表情，其结果与EMG结果相当。
Human faces express emotions, informing others about their affective states. In order to measure expressions of emotion, facial Electromyography (EMG) has widely been used, requiring electrodes and technical equipment. More recently, emotion recognition software has been developed that detects emotions from video recordings of human faces. However, its validity and comparability to EMG measures is unclear. The aim of the current study was to compare the Affectiva Affdex emotion recognition software by iMotions with EMG measurements of the zygomaticus mayor and corrugator supercilii muscle, concerning its ability to identify happy, angry and neutral faces. Twenty participants imitated these facial expressions while videos and EMG were recorded. Happy and angry expressions were detected by both the software and by EMG above chance, while neutral expressions were more often falsely identified as negative by EMG compared to the software. Overall, EMG and software values correlated highly. In conclusion, Affectiva Affdex software can identify facial expressions and its results are comparable to EMG findings.