Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Suguna, R.; Mohana Suganthi, N.; Neethu, P.S.; Suriya Prakash, J. Title A name given to the resource Facial Emotion Recognition Augmented with CNNs and Face Detection: Toward Emotive Emoji Synthesis Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems;Volume;1302;pp.395-409 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-3381-4_32" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-3381-4_32</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105004792881?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004792881?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Suguna R., Department of CSE, Vel Tech Rangarajan Dr. Sagunthala R&amp;D Institute of Science and Technology, Chennai, India; Mohana Suganthi N., Department of CSE, Vel Tech Rangarajan Dr. Sagunthala R&amp;D Institute of Science and Technology, Chennai, India; Neethu P.S., School of Engineering and Technology (SoET), Christ (Deemed to Be University), Bengaluru, India; Suriya Prakash J., School of Computer Science and Engineering, JAIN (Deemed-to-Be University), Bengaluru, India Description An account of the resource Emotion recognition is a crucial component with broad applications in technology and healthcare industries specifically in humancomputer interaction. To improve emotion recognition accuracy, this research introduces an innovative technique that integrates face detection with Convolutional Neural Networks (CNNs). Using the Fer2013 dataset, the approach consists of carefully identifying faces in images as a preprocessing step, followed by training a CNN network to identify emotions and create corresponding emojis. After conducting extensive testing and assessment, it is determined that after employing a face detection algorithm the suggested framework is effective in both correctly identifying emotions and producing visually appealing emojis. This helps to create an interface for emotional communication that is more user-friendly and captivating. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Convolutional neural networks; Emoji image; Emotion recognition; Face detection Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981963380-7; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online