Abstract: As the number of individuals with speech and hearing impairments continues to grow, the demand for sign language recognition systems is increasing. Furthermore, most radio frequency-based ...

ABSTRACT: This paper introduces a Convolutional Neural Network (CNN) model for Arabic Sign Language (AASL) recognition, using the AASL dataset. Recognizing the fundamental importance of communication ...

This paper introduces a Convolutional Neural Network (CNN) model for Arabic Sign Language (AASL) recognition, using the AASL dataset. Recognizing the fundamental importance of communication for the ...

Robot-assisted minimally invasive surgery (RAMIS) has gained significant traction in clinical practice in recent years. However, most surgical robots rely on touch-based human-robot interaction (HRI), ...

Abstract: The most common way of communication for a speech-impaired person is Sign Language. Generally, people do not learn Sign Language for communication with deaf and dumb people which causes ...

Automatic speech recognition refers to the process through which speech is converted into text. Over the decades, automatic speech recognition has achieved many ...

This platform offers an intuitive interface for Bangla sign language instruction, enabling teachers to create, upload, edit, and remove video courses. Students access these courses, watch videos, and ...

Sign languages aren’t easy to learn and are even harder to teach. They use not just hand gestures but also mouthings, facial expressions and body posture to communicate meaning. This complexity means ...

Facial micro-expression is a brief involuntary facial movement and can reveal the genuine emotion that people try to conceal. Traditional methods of spontaneous micro-expression recognition rely ...