IEEE

A Robust Signal Processing Framework for CSI-Based Bangla Sign Language Recognition via Doppler-Based Subcarrier Selection, Complex ICA, and Energy-Based Fusion

Abstract: WiFi Channel State Information (CSI) has emerged as a promising medium for device-free human activity recognition due to its ubiquity and privacy-preserving nature. However, existing ...
IEEE

Real-Time Hand Gesture Recognition Using CNN-LSTM for Gesture-to-Voice and Device Control

Abstract: Recognition of hand gestures is an essential HCI technology that enables touch-free, intuitive communication with digital systems. Its applications cross several domains, such as ...
IEEE

Development of Real Time CNN-Based System for Telugu Word Recognition on Raspberry Pi

Abstract: The recognition of handwritten regional scripts remains a significant challenge in the domain of Optical Character Recognition (OCR), particularly for complex languages such as Telugu. This ...
IEEE

Healthcare-SignNet: Advanced Medical Sign Language recognition using CNN + LSTM model

Abstract: Sign Language Recognition (SLR) is essential for facilitating communication between the hearing- and speech-challenged community and those who do not understand sign language. This is ...
IEEE

Sign Lingo: Live Sign Language Interpretation using AI

Abstract: Sign language serves as the primary mode of communication for deaf and mute individuals, enabling the expression of needs and emotions. However, the widespread lack of sign language ...
IEEE

A Modular and Real-Time Sign Language Recognition Framework Using Primary CNN and EfficientNet Cascade

Abstract: Systems that use Sign Language Recognition (SLR) are crucial for helping the general public and people with hearing impairments communicate. Unfortunately, current models frequently have ...
IEEE

Deep Learning for Inclusive Communication: A CNN-Based Approach to Sign Language Recognition

Abstract: Despite a wide social group that could profit from it, the idea of sign language recognition by technology is underutilized. Several technologies are available that can be helpful in ...
IEEE

Enhancing Sign Language Recognition Using Convolutional Neural Networks (CNN) for Improved Accuracy in Indonesian Sign Language

Abstract: This research paper presents a sign language recognition system for Indonesian sign language, mainly for Bahasa Isyarat Indonesia (BISINDO) using a Convolutional Neural Network (CNN) with ...
IEEE

Deep Learning Based Sinhala Sign Language Recognition

Abstract: Deaf individuals in Sri Lanka rely primarily on Sinhala Sign Language (SSL) for communication due to hearing impairments. However, effective communication between the Deaf and hearing ...
IEEE

Implementation and Evaluation of a Real Time Sign Language Recognition System

Abstract: This research presents the deployment and assessment of a real-time sign language identification technique with 87% accuracy for gesture and sound recognition and 450ms latency. Using a ...