Design & Implementation of Emotion Detection and Manipulation using conditional Generative Adversarial Networks
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Design, Implementation, Manipulation using conditional Generative Adversarial NetworksAbstract
This model is developed for emotion detection and manipulation, in which we have used Conditional Generative Adversarial Networks (cGANs) and facial depth technologies, which are used to recognize emotional expression and alter the emotions. Generative Adversarial Networks (GANs) are used to detect emotions and process visual information, which is specifically based on facial expressions. cGANs are not only used for emotion detection, but they can also manipulate emotions or alter the emotions. This is usually used in relevant areas like animations, virtual reality, and augmented reality. These applications are extended to Human Computer Interaction in which it has the ability to recognize and change emotions, playing a role in designing this application.
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