ItemConference Paper

Advancements in Hand Gesture Technology for Enhancing Accessibility in Disability Assistance

Title
Advancements in Hand Gesture Technology for Enhancing Accessibility in Disability Assistance
Creator
Shankar, Sandhya; Mohammed Mueen Pasha, M.; Joseph, Mani; Kumar, Basant
Description
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.
Source
2025 2nd International Conference on New Frontiers in Communication, Automation, Management and Security, ICCAMS 2025;
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
Artificial Intelligence based; Augmented Reality; Gesture Recognition; IoT; People with disabilities
Coverage
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
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833159610-1;
Format
online
Language
English
Type
Conference paper

Citation

Shankar, Sandhya; Mohammed Mueen Pasha, M.; Joseph, Mani; Kumar, Basant, “Advancements in Hand Gesture Technology for Enhancing Accessibility in Disability Assistance,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/25914.

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