Visible to the public CNN based Recognition of Emotion and Speech from Gestures and Facial Expressions

TitleCNN based Recognition of Emotion and Speech from Gestures and Facial Expressions
Publication TypeConference Paper
Year of Publication2022
AuthorsAvula, Himaja, R, Ranjith, S Pillai, Anju
Conference Name2022 6th International Conference on Electronics, Communication and Aerospace Technology
KeywordsCNN, DNN, emotion recognition, emotion speech model, face recognition, facial expression recognition, facial recognition, gesture recognition, Human Behavior, image processing, Metrics, pubcrawl, resilience, Resiliency, Speech recognition, Text recognition, Training, Transforms
AbstractThe major mode of communication between hearing-impaired or mute people and others is sign language. Prior, most of the recognition systems for sign language had been set simply to recognize hand signs and convey them as text. However, the proposed model tries to provide speech to the mute. Firstly, hand gestures for sign language recognition and facial emotions are trained using CNN (Convolutional Neural Network) and then by training the emotion to speech model. Finally combining hand gestures and facial emotions to realize the emotion and speech.
DOI10.1109/ICECA55336.2022.10009316
Citation Keyavula_cnn_2022