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@article{180699,
        author = {Lokhande Amey and Loni Esa and Bodake Saurabh and Bondale Kunal},
        title = {Design and Development of real-time wearable gesture recognition  and translation system using embedded electronics},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {2044-2054},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180699},
        abstract = {This research presents the design and 
implementation of a real-time gesture recognition and 
translation glove, aimed at facilitating communication 
for individuals with hearing and speech impairments. 
The system employs an array of flex sensors integrated 
onto a wearable glove to detect the bending and 
flexure of fingers. The sensor outputs are processed 
using a microcontroller, which maps specific bending 
patterns to predefined gestures without reliance on 
computationally intensive algorithms. Recognized 
gestures are instantly translated and displayed on a 
compact mini-LCD screen, providing immediate 
visual feedback. The glove is lightweight, low-power, 
and user-friendly, offering a cost-effective and 
portable solution for gesture-based communication. 
This work demonstrates the potential of sensor-driven 
wearable technology in enhancing accessibility and 
promoting inclusive interaction.       The glove architecture is based on lightweight, flexible 
components to ensure user comfort and durability 
during extended use. Each flex sensor continuously 
monitors the angular displacement of the fingers, 
enabling precise gesture recognition with minimal 
latency. The microcontroller is programmed with a 
direct mapping algorithm that associates specific 
flexure patterns with corresponding alphanumeric 
characters or words. The processed output is 
communicated through a mini-LCD display mounted 
on the glove, ensuring portability and real-time 
translation without the need for external devices. 
Extensive testing was conducted to evaluate the 
system's accuracy, response time, and reliability under 
varying conditions, demonstrating its effectiveness as 
a practical assistive tool for gesture-based 
communication.},
        keywords = {real-time, flexure, gestures, visual feedback, wearable, interaction, displacement, portability.},
        month = {June},
        }