IEEE

Developing a CNN and NLP Integrated System for Translating American Sign Language Into Human Language

Abstract: American Sign Language (ASL) is an important means of communication among deaf and speech-impaired people. The communication gap, however, exists between users of ASL and users of the spoken ...
IEEE

Optimizing Sign Language Detection with Deep Learning and Preprocessing: A Comparative Study of CNN-Based Models

Abstract: Sign language is a visual-manual language used by deaf and hard-of-hearing communities as a primary means of communication, with distinct grammar and syntax separate from spoken languages.
The Conversation

The deaf blacksmith who married in 1576 – and the history of sign as a legal language

Rosamund Oates receives funding from the British Academy and Leverhulme Trust. In February, Leicester Cathedral hosted a British Sign Language (BSL) service celebrating a deaf marriage that took place ...
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

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

Motion Cues for Robust Continuous Sign Language Recognition: Baselines and Diagnostics

Abstract: Continuous Sign Language Recognition (CSLR) is sensitive to how motion unfolds over time: short stroke-like segments often carry linguistic content, while transitional movements connect ...
IEEE

Unsupervised Hand Tracking for Sign Language Recognition via Optical Flow and Previous Tracking Data

Abstract: Accurate hand tracking is a fundamental requirement for sign language recognition and human computer interaction. However, reliable tracking remains challenging due to the high degrees of ...