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 Subha, B.; Asrani, Deepak; Burgula, Kezia Rani; Acharjee, Purnendu Bikash; Paul, P. Mano; Suganthi, D. Title A name given to the resource Smart Facial Expression Analysis: Fuzzy Extreme Learning Machine in Emotion Detection 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 3rd IEEE International Conference on Data Science and Network Security, ICDSNS 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICDSNS65743.2025.11168498" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICDSNS65743.2025.11168498</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105019043585?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105019043585?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 Subha B., Kristu Jayanti College, Department of Professional, Management Studies, Bengaluru, India; Asrani D., Bn College of Engineering and Technology, Department of Computer Science and Engineering, Lucknow, India; Burgula K.R., Vasavi College of Engineering, Hyderabad, India; Acharjee P.B., Christ University, Department of Computer Science, Bengaluru, India; Paul P.M., Dayananda Sagar Academy of Technology and Management, Department of Computer Science and Engineering (Artificial Intelligence), Bengaluru, India; Suganthi D., Saveetha College of Liberal Arts and Sciences, Simats, Department of Computational Intelligence, Thandalam, Chennai, India Description An account of the resource The immense academic and economic potential of facial emotion recognition (FER) has made it a crucial field in computer vision and artificial intelligence. Because of the fundamental role that facial expressions play in interpersonal communication; face photographs are vital for analysing human emotions within the context of Smart Facial Expression Analysis. This research provides a successful pipeline for emotion identification and examines FER methods that rely just on face pictures. Preprocessing, segmentation, feature extraction, and training the model are the steps that make up the suggested method's organised procedure. Face detection using the Viola-Jones technique is the first step in the preprocessing phase. Four rectangular characteristics are used for segmentation, with greyscale conversion being a necessity. In order to train a fuzzy -ELM model, feature extraction uses HOS and LBP. Emotions are better understood with this method. The suggested fuzzy-ELM approach outperforms two state-of-the-art models, ELM and CNN. With an accuracy of 98.33 %, the experimental findings show a substantial improvement in precision. A dependable and high-performing method for emotion recognition using just facial imaging, these findings highlight the usefulness of the suggested approach for Smart Facial Expression Analysis. 2025 IEEE. Subject The topic of the resource facial expression recognition (FER); histogram of oriented gradients (HOG); local binary patterns (LBP) Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833153679-4; 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