Search Results

The advent of machine learning (ML) has significantly advanced the recognition and translation of sign languages, bridging communication gaps for hearing-impaired communities. At the heart of these technologies is data labeling, crucial for ...

• HamNoSys notation system is not sufficient for ML labeling purposes
• HamNoSys-based labels are often subjective and inconsistent
• There is a need for a notation system useful in computer-aided systems

Continuous sign language recognition (CSLR) is essential for the social participation of deaf individuals. The structural information of sign language motion units plays a crucial role in semantic representation. However, most existing CSLR ...

Immersive virtual reality presents a rich opportunity for learning signed languages, given the immersive environment’s ability to represent three-dimensional information. We developed a proof-of-concept American Sign Language (ASL) learning in immersive ...

In order to solve the problem of obtaining speech information for the deaf and mute population, a deep learning based intelligent speech to sign language translation technology is proposed. Firstly, a one-dimensional Google LeNet combined with Hidden ...

With over 2.4 million Brazilians experiencing hearing loss, effective communication between deaf individuals and healthcare professionals is crucial but still faces various barriers. Existing studies highlight shortcomings in the availability of ...

This paper is about a machine learning system that uses a convolutional neural network approach to recognizing finger-spelled letters in British sign language (BSL). Motivated by a desire to improve sign language instruction, the software allows users to ...

Sign language provides a way for differently-abled individuals to express their feelings and emotions. However, learning sign language can be challenging and time consuming. An alternative approach is to animate user photos using sign language videos of ...

Recurrent neural networks (RNNs) are a popular family of models widely used when facing sequential data such as videos. However, RNNs make assumptions about state transitions that could be damageable. This paper presents two theoretical ...

• Sign language tokenization is a challenging task involving complex transitions.
• The limitations of RNNs highlighted in theory can be observed in practice.
• Extensions have a positive impact, but there is still room for improvement.

Sign language is a unique form of communication in which hand or other body part gestures are used to express oneself. A large proportion of the world’s population has speech and hearing impairments and communicates through sign language. Sign ...

For deaf individuals, sign language is their primary language, while written language is often considered a secondary language. Although progress has been made in developing technologies that facilitate communication between deaf and hearing individuals,...

SignWriting is a system for transcribing sign languages, using iconic depictions of the hands and other body parts, as well as exploiting the possibilities of the page as a two dimensional medium to capture the three-dimensional nature of signs. ...

Sign language is one of the most important communication tools for hearing impaired people. In this study, the recognition of two-handed dynamic words in Turkish Sign Language (TSL) was studied using the LMC device. As a result of the repetition ...

Communication between healthcare professionals and deaf patients has been particularly challenging during the COVID-19 pandemic. We have explored the possibility to automatically translate phrases that are frequently used in the diagnosis and ...

The paper introduces a real-time fingerspelling-to-text translation system for the Azerbaijani Sign Language (AzSL), targeted to the clarification of the words with no available or ambiguous signs. The system consists of both statistical and ...

• A dataset of 13,444 Azerbaijani dactyl alphabet samples is introduced.
• To increase the robustness, a probabilistic and clustered model has been implemented.
• Augmentation, its problems, and considerations have been shared.
• The ...

Before languages came into existence, sign language was the mode of communication. For human–computer interaction, recognizing these sign languages is vital; thus, hand gesture recognition comes into play. With the advancement of technology and ...

Although an International Sign Language has been created, only a small percentage of people in the world are able to use it. Given this context, it is important to support communication among deaf persons who use different sign languages and who ...

• A tutor for learning the Spanish Sign Language basic hand configurations.
• Hand ...

Communication between people from different communities can sometimes be hampered by the lack of knowledge of each other's language. A large number of people needs to learn a language in order to ensure a fluid communication or want to ...

Automatic translation from signed to spoken languages is an interdisciplinary research domain on the intersection of computer vision, machine translation (MT), and linguistics. While the domain is growing in terms of popularity—the majority of ...

This paper proposes a new technique to add sign language as a special and real-time feature. In addition to gestures, sign language also uses grammatical rules, linguistic frameworks, etc. We require a method that can extract ...

Numerous nations have prioritised the inclusion of citizens with disabilities, such as hearing loss, in all aspects of social life. Sign language is used by this population, yet they still have trouble communicating with others. Many sign language ...