Abstract: Optical Character Recognition (OCR) systems use robust software for searching words from scanned multilingual Indian documents. Manually searching such documents is tedious and time- ...

Abstract: Effective communication between hearing-impaired individuals and the general population remains a challenge due to the unfamiliarity with sign language. To bridge this gap, we propose a real ...

Abstract: Even though sign language helps many deaf and mute individuals communicate, a major gap remains because the public does not understand or use sign languages often. This research proposes a ...

Abstract: Sign-Language-Recognition (SLR) innovation has awesome potential to strengthen communication and availability towards hearing impairment. The prime objective is to develop an effective and ...

Abstract: This paper introduces an improved Arabic Sign Language Recognition (ArSLR) system that aims to facilitate increased accessibility to communication for the deaf and hard-of-hearing population ...

Federal use of facial recognition and related surveillance technologies has expanded decisively into the monitoring of domestic protest activity, according to a growing body of reporting and firsthand ...

Abstract: This article introduces a real-time sign language-to-text translator using Convolutional Neural Networks (CNNs) to overcome communication obstacles for the deaf and hearing-impaired ...

Abstract: Hand gesture recognition has attracted the attention of many researchers due to its wide applications in robotics, games, virtual reality, sign language and human-computer interaction. Sign ...

This project aims to develop a real-time computer vision system for recognizing Dutch Sign Language (Nederlandse Gebarentaal - NGT) fingerspelling. The system captures hand gestures via camera input, ...

Abstract: This research proposes an alphabetical hand sign language recognition system using Frequency Modulated Continuous Wave (FMCW) radar and Convolutional Neural Networks (CNN) to improve ...