Abstract: Hearing and speech impaired people possess the essential communication method through sign language. The availability of sign language communication remains limited because people have ...
This paper presents a real-time American Sign Language (ASL) recognition system based on deep learning (DL), aiming to improve accuracy and responsiveness over existing methods. A customized ...
Abstract: The project will offer a speech to sign language translator that will help to reduce the gap in the interaction among the deaf people and the non-deaf people. The speech recognition, the ...
A Tennessee grandmother spent more than five months in jail after police used an AI facial recognition tool to link her to crimes committed in North Dakota – a state she says she’d never been to ...
Abstract: Sign language is a significant communication mode among the deaf and hard-of-hearing people. The conventional sign language recognition systems usually suffer from drawbacks such as isolated ...
Abstract: Gesture Language Translation System (GLTS) is an interdisciplinary research field that intersects computer vision, machine learning, also human-machine interaction. This study offers a ...
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 ...
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 ...
Abstract: Convolutional Neural Networks (CNNs) combined with Long Short-Term Memory (LSTM) networks are strong machine learning models known for their high accuracy in decision-making. However, they ...
Medieval manuscript illustration of a man placing a ring on a woman’s finger. British Library Royal MS 6 E VI, fol. 104/Wiki Commons In February, Leicester Cathedral hosted a British Sign Language ...
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