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[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 …
[HTML][HTML] 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 …
An integrated mediapipe-optimized GRU model for Indian sign language recognition
Sign language recognition is challenged by problems, such as accurate tracking of hand
gestures, occlusion of hands, and high computational cost. Recently, it has benefited from …
gestures, occlusion of hands, and high computational cost. Recently, it has benefited from …
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 …
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) …
Sign language production: A review
Sign Language is the dominant yet non-primary form of communication language used in
the deaf and hearing-impaired community. To make an easy and mutual communication …
the deaf and hearing-impaired community. To make an easy and mutual communication …
American sign language words recognition using spatio-temporal prosodic and angle features: A sequential learning approach
SB Abdullahi, K Chamnongthai - IEEE Access, 2022 - ieeexplore.ieee.org
Most of the available American Sign Language (ASL) words share similar characteristics.
These characteristics are usually during sign trajectory which yields similarity issues and …
These characteristics are usually during sign trajectory which yields similarity issues and …
Real-time isolated hand sign language recognition using deep networks and SVD
One of the challenges in computer vision models, especially sign language, is real-time
recognition. In this work, we present a simple yet low-complex and efficient model …
recognition. In this work, we present a simple yet low-complex and efficient model …
[HTML][HTML] A survey on sign language literature
Individuals with hearing impairment encounter various types and levels of difficulties,
highlighting the need for more research to provide effective support. One significant difficulty …
highlighting the need for more research to provide effective support. One significant difficulty …
mRMR-PSO: a hybrid feature selection technique with a multiobjective approach for sign language recognition
In this paper, a hybrid feature selection technique named mRMR-PSO has been proposed
with a multiobjective approach for automatic recognition of sign language. The features are …
with a multiobjective approach for automatic recognition of sign language. The features are …