.png){kind=icon}
返回
Real and fake emotion detection using enhanced boosted support vector machine algorithm
.png){kind=icon}
PRE
AI
DOI：10.1007/s11042-022-13210-6.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Differentiating real and fake emotions becomes a new challenge in facial expression recognition and emotion detection. Real and fake emotions should be taken into account when developing an application. Otherwise, a fake emotion can be categorized as real emotion thereby rendering the model as futile. Very limited research has dealt with identifying fake emotions with accuracy as results are in a range of 51-76%. Performance of the available methods in detecting fake emotions is not encouraging. Thus, in this paper, we have proposed Enhanced Boosted Support Vector Machine (EBSVM) algorithm. EBSVM is a novel technique to determine important thresholds required to understand fake emotions. We have created a new dataset named FED comprising both real and fake emotion images of 50 subjects and used them with experiments along with SASE-FE. EBSVM considers the entire data for classification at each iteration using the ensemble classifier. The EBSVM algorithm achieved 98.08% as classification accuracy for different K-fold validations.
Keyword:
Emotion detection
Enhanced boosted SVM
Fake emotion
False emotion
Genuine emotion
Real emotion
True emotion
期刊
IF:
3
论文数:
2.0W
被引数:
3.2W
机构
引用论文
IMPAIRED RECOGNITION OF EMOTION IN FACIAL EXPRESSIONS FOLLOWING BILATERAL DAMAGE TO THE HUMAN AMYGDALA人类杏仁核双侧损伤后面部表情的情感识别受损.png)
NATURE
NATUREIF48.5
PREAI
分享收藏
分享收藏Two-dimensional molecular beam epitaxy of {001} CdTe on Cd and Zn terminated {001} GaAs{001} CdTe在Cd和Zn终止的{001} GaAs上的二维分子束外延
PREAI
分享收藏分享收藏Short-Term Load Forecasting for Electric Bus Charging Stations Based on Fuzzy Clustering and Least Squares Support Vector Machine Optimized by Wolf Pack AlgorithmEnergies
OAAI
EnergiesIF0
OAAI分享收藏
查看更多内容