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

  1. Image based Method
  1. 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)

  1. 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