[HTML][HTML] Machine learning methods for sign language recognition: A critical review and analysis
Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
A review of the hand gesture recognition system: Current progress and future directions
This paper reviewed the sign language research in the vision-based hand gesture
recognition system from 2014 to 2020. Its objective is to identify the progress and what …
recognition system from 2014 to 2020. Its objective is to identify the progress and what …
[HTML][HTML] A survey on Sign Language machine translation
Abstract Sign Languages (SLs) are employed by deaf and hard-of-hearing (DHH) people to
communicate on a daily basis. However, the communication with hearing people still faces …
communicate on a daily basis. However, the communication with hearing people still faces …
Deep learning for sign language recognition: Current techniques, benchmarks, and open issues
People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …
effective local level sign language recognition (SLR) tools is essential. We conducted a …
Artificial intelligence technologies for sign language
AI technologies can play an important role in breaking down the communication barriers of
deaf or hearing-impaired people with other communities, contributing significantly to their …
deaf or hearing-impaired people with other communities, contributing significantly to their …
Including signed languages in natural language processing
Signed languages are the primary means of communication for many deaf and hard of
hearing individuals. Since signed languages exhibit all the fundamental linguistic properties …
hearing individuals. Since signed languages exhibit all the fundamental linguistic properties …
Automatic translation of sign language with multi-stream 3D CNN and generation of artificial depth maps
Sign languages play an essential role in the cognitive and social development of the deaf,
consisting of a natural form of communication and being a symbol of identity and culture …
consisting of a natural form of communication and being a symbol of identity and culture …
A vision-based deep learning approach for independent-users Arabic sign language interpretation
More than 5% of the people around the world are deaf and have severe difficulties in
communicating with normal people according to the World Health Organization (WHO). They …
communicating with normal people according to the World Health Organization (WHO). They …
Explainable deep convolutional neural networks for insect pest recognition
Fungal infestation of crops is critical to food security as it affects yield and quality of
production. Indeed, one element responsible for this situation is insect pests. Early detection …
production. Indeed, one element responsible for this situation is insect pests. Early detection …
Multi-modal zero-shot dynamic hand gesture recognition
Abstract Zero-Shot Learning (ZSL) has rapidly advanced in recent years. Towards
overcoming the annotation bottleneck in the Dynamic Hand Gesture Recognition (DHGR) …
overcoming the annotation bottleneck in the Dynamic Hand Gesture Recognition (DHGR) …