Emotion recognition, Face detection, Responding to Emotions, AdaBoost.
In today’s hyper-connected world of smart devices and appliances our technology has lots of Intelligence Quotient, but no Emotional Quotient and lots of cognitive intelligence but no emotional intelligence. “The average application uses 10% of the human’s emotion. Imagine what they could do with 100%”. This tagline was the inspiration for the project. So, we thought of taking a step ahead in the evolution of applications. The main goal of this project is to make the application to understand the human’s emotions and respond to it by using AdaBoost algorithm and OpenCV library. AdaBoost is a machine learning algorithms which if formed from a sequence of weak classifier. Each of weak classifier forms a cascade and contributes a strong classifier in this project as face detector.