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Figure 7. Samples of MSFDE dataset-Impact of Ethnic Group on Human Emotion Recognition Using Backpropagation Neural Network

Record type:

paper
Creator:
Nabil M. HewahiAbdul Rhman M. Baraka
Publisher:
Zenodo
Host:avatar

We performed groups of experiments to study the impact of ethnic group (race) in the
accuracy of emotion recognition with three kinds of ethnic groups (Asian, Caucasian as African).
So we have three experiments, each experiment has a neural network as a classifier, and each neural
network has three layers where there are 16 neurons in the hidden layer except Asian network has
17 neurons (the best result with 17 neurons for Asians).

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doi.org

Tasks

emotion identification

Tags

Human Computer InteractionEmotion RecognitionArtificial Neural Networks,Features Extraction

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

Similar

Figure. 2. Examples of Angry from different races. (A,B) African. (C,D) Asian. (E,F) Caucasian.-Impact of Ethnic Group on Human Emotion Recognition Using Backpropagation Neural Network

Figure. 2. Examples of Angry from different races. (A,B) African. (C,D) Asian. (E,F) Caucasian.-Impact of Ethnic Group on Human Emotion Recognition Using Backpropagation Neural Network

We chose 46 points which are distributed over human face image and use these points for<