| Title | Emotion Detection with Facial Feature Recognition Using CNN & OpenCV |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Giri, Sarwesh, Singh, Gurchetan, Kumar, Babul, Singh, Mehakpreet, Vashisht, Deepanker, Sharma, Sonu, Jain, Prince |
| Conference Name | 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) |
| Keywords | Computer vision, convolution neural network, Emotion Detection Recognition, emotion recognition, face recognition, Facial Gesture, facial recognition, Human Behavior, human computer interaction, Metrics, Neural Network, Neural networks, pubcrawl, resilience, Resiliency, Sociology, visualization, Webcams |
| Abstract | Emotion Detection through Facial feature recognition is an active domain of research in the field of human-computer interaction (HCI). Humans are able to share multiple emotions and feelings through their facial gestures and body language. In this project, in order to detect the live emotions from the human facial gesture, we will be using an algorithm that allows the computer to automatically detect the facial recognition of human emotions with the help of Convolution Neural Network (CNN) and OpenCV. Ultimately, Emotion Detection is an integration of obtained information from multiple patterns. If computers will be able to understand more of human emotions, then it will mutually reduce the gap between humans and computers. In this research paper, we will demonstrate an effective way to detect emotions like neutral, happy, sad, surprise, angry, fear, and disgust from the frontal facial expression of the human in front of the live webcam. |
| DOI | 10.1109/ICACITE53722.2022.9823786 |
| Citation Key | giri_emotion_2022 |
Emotion Detection with Facial Feature Recognition Using CNN & OpenCV