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 Shivaprasad, D.L.; Guru, D.S.; Kavitha, R. Title A name given to the resource Deployable Solution for Real-Time Children Face Emotion Prediction System 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 Computer Science;Volume;15505 LNCS;pp.204-224 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-84543-7_17" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-84543-7_17</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105003637548?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105003637548?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 Shivaprasad D.L., Department of Studies in Computer Science, University of Mysore, Mysuru, Manasagangotri, India; Guru D.S., Department of Studies in Computer Science, University of Mysore, Mysuru, Manasagangotri, India; Kavitha R., Department of Data Science, CHRIST (Deemed to be University), Bangalore, India Description An account of the resource Nowadays, many parents struggle to comprehend their children's emotions, which can hinder the creation of a nurturing environment. While numerous models focus on predicting adult emotions, there is a lack of standardised datasets for studying children's emotions. To address this gap, our work attempts to establish a comprehensive children's emotion dataset that can facilitate the study of emotions across various pose orientations. Furthermore, we propose an efficient and deployable system for real-time children's emotion prediction. An effective face detector with deep architecture is designed to handle all pose orientations from key image frames. Optimal features are then selected by re-ranking the features using a hybrid feature selection mechanism. The emotion category is declared by carefully analysing sequences of emotion identification from these features. This system holds promise for educational institutions and healthcare facilities, offering insights into children's behaviour through emotional analysis. Through experimental comparisons with three state-of-the-art emotion prediction models, we observed that our proposed system consistently outperforms existing models. Hence, we strongly recommend the adoption of our proposed system. With its achievement of state-of-the-art results in children's facial emotion recognition, it offers a practical solution for real-time deployment across diverse settings. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. Subject The topic of the resource Emotion Prediction; Hybrid Feature Selection; Key-frame Selection; Re-ranking Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 3029743; ISBN: 978-303184542-0; 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