A Real-Time Intelligent System Based on Machine-Learning Methods for Improving Communication in Sign Language

A Real-Time Intelligent System Based on Machine-Learning Methods for Improving Communication in Sign Language

In this article, we introduce a cost-effective and real-time intelligent system tailored to Pakistan sign language (PSL) recognition, aimed at facilitating communication for hearing-impaired individuals. The system utilizes a specialized glove equipped with flex sensors and an MPU-6050 device to cap...

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Bibliographic Details
Main Authors: Victor Leiva, Muhammad Zia Ur Rahman, Muhammad Azeem Akbar, Cecilia Castro, Mauricio Huerta, Muhammad Tanveer Riaz
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Assistive technology
flex sensor glove
Kalman filter
MPU-6050 device
Raspberry Pi 3B microcontroller
real-time processing
Online Access:https://ieeexplore.ieee.org/document/10839384/
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https://ieeexplore.ieee.org/document/10839384/

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