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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Facial Emotion Analysis and Instant Audience Feedback |
| Authors Name: | N Rama Rao , Vinakollu Gokul , Depa Sai Charan Reddy , Katta Lakshmi Narasimha , Nagulapati Yashwanth Reddy |
| Download E-Certificate: | Download |
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IJNRD_218383
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| Published Paper Id: | IJNRD2404576 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | 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. |
| Keywords: | Keywords: Neurological Processes, Facial Feedback, Facial Expressions, Deep Neural Network. |
| Cite Article: | "Facial Emotion Analysis and Instant Audience Feedback", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.f618-f623, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404576.pdf |
| Downloads: | 00020 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2404576 Registration ID: 218383 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: f618-f623 Country: Hyderabad, Telangana, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404576 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404576 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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