Facial emotional expression detection by AI & DL

My primary topic of interest is "Facial emotional expression detection by AI." The idea came from a business meeting with CORE (a non-profit company backed by Sean Penn) in Los Angeles. They were looking for a high-level team of developers to plan, design, and implement a particular application to detect facial emotion expressions using mobile apps and iPods remotely. Why remotely? This was my very first reaction and question during the first meeting. Their manager started explaining the origin of the problem that led them to take action. It was all about helping people in remote places with the lowest access to medical and healthcare systems, especially those who need mental help the most. She was a psychologist and a very dear friend of mine and the surfing team on Malibu beach. She said, "we need an app that gets enough facial expression information from people who look at that app remotely, in which we can analyze and make our pieces of advice." 

Well, that made the topic of interest for my academics, as I felt the actual effect of the problem. The problem was not limited to the CORE or any other parties looking to help people with health disparities. The project can aim to judge with a better understanding of criminals, higher security controls in infrastructure systems by controlling people with sensitive roles, detectives with complicated criminal problems, help police directly on the action, help psychologists with more accurate analysis, and more. 

After the preliminary research on the topic, we realized that this project must use AI and DL using the Convolutional Neural Networks (CNN) to match the geometric features of the human face. 

So, here I am, a highly complex problem to solve, with the lowest amount of peer-reviewed articles.

The following image (from the internet) shows six general human expressions on their face. (Duong, 2022)

 

 

Reference

Duong, B. T. (2022, March 30). Emotion AI: Facial Expression Recognition with Convolutional Neural Network and Visualization with Grad-CAM and OpenCV. Medium. Retrieved 2022, from https://medium.com/mlearning-ai/emotion-ai-facial-expression-recognition-with-convolutional-neural-network-and-visualization-with-fbfbc5a5819a