CCT Elearning

Title: A Novel Approach for Detecting Human Emotions with Practical Applications

Research Team:

1- Dr. Mohammad Malkawi PI

2- dr. Khalid Batterjee - Co-PI

3- Dr. Umaiya Murad - Co-PI

4- Dr. Samer Dahshi - Co-PI

5- Dr, Methaq Kadhum - Co-PI

6- Dr. Nour Faouel - Co-PI

7- MS. Hala Lebrara - Co-PI

Project Summary

A novel optimization algorithm is proposed for detecting human emotions (responses) using artificial intelligence techniques such as exhaustive search, fuzzy logic and neural networks. Previous models for detecting human emotions have used fourteen measurable physical and physiological input factors to detect twenty two human emotions. This main objective of this project is to solidify previous results and to explore non-invasive methods to detect the inner emotions of humans. In particular, the project will explore methods to detect the emotions for people who may not be able to accurately express their real feelings and emotions. People with autism, Alzheimer symptoms, in a coma, or have lost conscious may not be able to reveal their current feelings, and most likely to resist invasive methods used to diagnose their inner feelings.