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CNN based Recognition of Emotion and Speech from Gestures and Facial Expressions

Publication Type : Conference Proceedings

Publisher : IEEE

Source : 2022 6th International Conference on Electronics, Communication and Aerospace Technology

Url : https://doi.org/10.1109/iceca55336.2022.10009316

Campus : Coimbatore

School : School of Engineering

Department : Electrical and Electronics

Year : 2022

Abstract : The 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.

Cite this Research Publication : Himaja Avula, Ranjith R, Anju S Pillai, CNN based Recognition of Emotion and Speech from Gestures and Facial Expressions, 2022 6th International Conference on Electronics, Communication and Aerospace Technology, IEEE, 2022, https://doi.org/10.1109/iceca55336.2022.10009316

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