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 Shankar, Sandhya; Mohammed Mueen Pasha, M.; Joseph, Mani; Kumar, Basant Title A name given to the resource Advancements in Hand Gesture Technology for Enhancing Accessibility in Disability Assistance 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 2025 2nd International Conference on New Frontiers in Communication, Automation, Management and Security, ICCAMS 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCAMS65118.2025.11233903" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCAMS65118.2025.11233903</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105030029653?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105030029653?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 Shankar S., Christ (Deemed to be University), Dept. of Computer Science, Bengaluru, India; Mohammed Mueen Pasha M., St JOSEPH'S University, Dept. of Computer Science, Bengaluru, India; Joseph M., Modern College of Business and Science, Muscat, Oman; Kumar B., Modern College of Business and Science, Muscat, Oman Description An account of the resource Hand gesture recognition technology has become a crucial innovation in assistive technology, providing enhanced accessibility and independence for individuals with disabilities. In order to enhance communication, mobility, and rehabilitation support, this paper investigates the development and integration of AI-powered gesture recognition systems with wearable devices, augmented reality (AR), and the Internet of Things (IoT). The adaptability and ease of use of the current solutions, such as sign language interpretation and smart prosthetics, are severely limited. We propose a novel framework that combines cloud-based data storage, haptic feedback mechanisms, and real-time AI processing to create a highly responsive and personalized user experience to fill in these gaps. The research focuses on accuracy, responsiveness, and ease of use during its comprehensive analysis of prototype testing data and user feedback. The system is able to continually improve the accuracy of gesture recognition and adapt to the requirements of each user by making use of deep learning algorithms. The study also emphasizes the possibility of incorporating brain-computer interfaces (BCIs) for improved control and responsiveness. By providing individualized therapeutic exercises and real-time feedback, our findings suggest that incorporating gesture-controlled interfaces into rehabilitation programs can significantly benefit stroke patients and individuals with motor impairments. Gesture-based smart home control is also made possible by IoT connectivity, which makes life easier for people with limited mobility. An assessment of the system's impact, obstacles to widespread adoption, and potential future directions for improving AI models and making them more affordable are presented at the study's conclusion. The goal of this study is to help close the digital divide for people with disabilities and contribute to the ongoing development of accessible technology. 2025 IEEE. Subject The topic of the resource Artificial Intelligence based; Augmented Reality; Gesture Recognition; IoT; People with disabilities Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833159610-1; 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