Deep Learning and Machine
Learning-based approach for
identifying children's facial emotions
Objectives
Results and Discussion
Introduction and
Literature survey
Methodology
Adults
Children
Age wise classification??
Image based
Video based
Image Based
Video Based
- Image based Method
- Video based Method
Data Augmentation
Training the model
Data preprocessing
Testing the model
Low Accuracy
Transfer
Learning
Analyzing age wise facial emotion recognition accuracies of children through neural networks (Image based method)
Analyzing facial emotion recognition accuracies of children through neural networks (Video based method)
- Performing EFA for to identify emotion levels respective to different emotions and different age categories
Training the model
Testing the model
Preprocessing
Changing parameters
Research Gap
Video and Image based
Lack of viddeo based methodologies
lin2020feature
haque2018facial
lopez2019emotion
Image Based
Video Based
Accuracy improvement?
Accuracy?
Age wise classification?
Importance?
Frame count
Future work
inbook
yu2021emotion