Facial Expression Detection using CNN
International Research Journal of Modernization in Engineering Technology and Science · 2023
Communication happens by two ways one is verbal, and another is nonverbal.As everyone knows verbal is nothing but speaking make use of words and nonverbal is the facial expression and body postures.every facial expression gives different meaning.We are designing a project to recognise the facial expressions of a person which changes based on a certain parameters like fear, surprised, disgust, neutral, angry, sad and happy.it is important to recognise the facial expression of a person to identify their mood.to solve the issue of recognising facial expression we come up with a new software system called as facial recognition system designed using CNN model which produces the result of 98.6% accuracy.the data has been extracted from the Kaggle.the facial expression had been categorised into 7 data types like fear, surprised, disgust, neutral, angry, sad and happy few educational institutions make use of the system to recognise the facial expressions of students which helps us to know whether they are active or not in the class.one can know the state and intention of a person by using this system.