Facial Emotion Analysis and Instant Audience Feedback

Registration ID: IJNRD_218383

Published ID: IJNRD2404576

DOI: Click Here to Get

N Rama Rao , Vinakollu Gokul , Depa Sai Charan Reddy , Katta Lakshmi Narasimha , Nagulapati Yashwanth Reddy

Keywords: Neurological Processes, Facial Feedback, Facial Expressions, Deep Neural Network.

Abstract: Feedback serves as a crucial component of human relation, enabling the expression of emotions, sentiments, and truth. This research search into the intricate role facial cues play in transport and understanding information, providing a comprehensive examination of feedback conveyed through facial expressions. The study explores the neurological processes involved in perceiving and responding to facial feedback in humans, as well as the mechanisms governing facial expressions, including cultural variations and their universal aspects. While deep neural network analyzers for facial expression feedback are still in their early stages of development, they possess the capability to address various challenges in current human-computer interface systems. The application of feedback detection, facilitated by these analyzers, holds promise for creating more immersive entertainment experiences, enhancing educational systems, and improving customer service interactions. A significant advantage of employing deep neural networks for facial expression feedback analysis is their ability to provide real-time feedback. This stands in contrast to traditional feedback collection methods such as surveys and interviews, which can be time-consuming and costly. Real-time feedback analyzers empower system developers to swiftly iterate and enhance user experiences.

Published Paper   E-Certificate

N Rama Rao, Vinakollu Gokul, Depa Sai Charan Reddy, Katta Lakshmi Narasimha, & Nagulapati Yashwanth Reddy (April-2024). Facial Emotion Analysis and Instant Audience Feedback. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), f618-f623. https://ijnrd.org/papers/IJNRD2404576.pdf

Volume 9 Issue 4, April-2024

Pages : f618-f623

Paper Reg. ID: IJNRD_218383

Published Paper Id: IJNRD2404576

Downloads: 000121982

Research Area: Computer Engineering 

Country: Hyderabad, Telangana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404576.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404576

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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