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 Vinodha, D.; Manjunatha Swamy, C.; Jenefa, J.; Sambandam, Rakoth Kandan; Divya, Vetriveeran Title A name given to the resource Sign Language Recognition Using Hand Gestures 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;1200;pp.341-351 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-9926-8_26" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-9926-8_26</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105006835235?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105006835235?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 Vinodha D., Computer Science and Engineering, School of Engineering and Technology, Christ University, Bengaluru, India; Manjunatha Swamy C., Computer Science and Engineering, School of Engineering and Technology, Christ University, Bengaluru, India; Jenefa J., Computer Science and Engineering, School of Engineering and Technology, Christ University, Bengaluru, India; Sambandam R.K., Computer Science and Engineering, School of Engineering and Technology, Christ University, Bengaluru, India; Divya V., Computer Science and Engineering, School of Engineering and Technology, Christ University, Bengaluru, India Description An account of the resource In everyday interactions between humans and computers, recognizing hand gestures plays a crucial role as it offers a natural and easy way to control and communicate with various applications. This article delves into a detailed exploration of how MobileNet architecture can enhance the accuracy and efficiency of hand gesture detection systems. The aim is to address the limitations found in traditional models by leveraging the optimization and computational efficiency offered by MobileNet. To understand the significance of incorporating MobileNet architecture, the article begins by examining previous research methods used in hand gesture recognition. By conducting a thorough review of existing literature, the study identifies areas where improvements can be made. It then introduces a novel approach that utilizes MobileNet architecture to elevate the precision and effectiveness of hand gesture detection. This approach is tested using a well-established dataset of American Sign Language movements, providing a reliable foundation for training and evaluating the model. This work delves into the technical aspects of implementing the MobileNet-based hand gesture detection system. It explains how the model framework integrates MobileNet architecture and discusses the preprocessing techniques employed for image analysis. The experimental and analytical work conducted during the project is highlighted, emphasizing the iterative process of refining and optimizing the model to achieve optimal performance. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Accuracy; Backpropagation; CNN; MobileNet Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981979925-1; 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