Research Article

Ensemble Convolution Neural Network for Robust Video Emotion Recognition Using Deep Semantics

Table 2

Classifiers used for facial emotion recognition.

Name of classifierAddressed emotions

DCNN + RLPS [42]Anger, disgust, fear, happiness, sadness, surprise, and neutral
3DCLS [43]Angry, sad, happy, and neutral
AdaBoost, relevance feedback [44]Fear, sadness, and joy
HMM [45]Sadness, happiness, anger, fear, disgust, and surprise
LDA [46]Joy, acceptance, fear, surprise, sadness, disgust, anger, and anticipation
Inception V3 [47]Boredom, confusion, engagement, and frustration
Modified CNN [48]Ekman’s basic emotions
LSTM [49]Boredom, confusion, engagement, and frustration
Facial action coding system [50]Ekman’s basic emotions
Decision trees, Kinect V2 [51]Engagement and frustration
WEKA and OpenFace [52]Boredom, confusion, engagement, and frustration
Linear SVMs [53]Engagement, liking, and familiarity
PSO, kNN [54]Happiness, sadness, anger, and fear
Information aggregation, decision fusion [55]A neutral, slight smile, large smile, small laugh, giant laugh, and thrilled
Hybrid CNNs [56]Engaged, bored, and neutral
ResNet-18 model and transformers [57]Fear, angry, sad, happy, contempt, disgust, and surprise
Multitask CNN [58]Happiness, fear, disgust, and surprise