A survey on artificial intelligence in Chinese sign language recognition
X Jiang, SC Satapathy, L Yang, SH Wang… - Arabian Journal for …, 2020 - Springer
Abstract Chinese Sign Language (CSL) offers the main means of communication for the
hearing impaired in China. Sign Language Recognition (SLR) can shorten the distance …
hearing impaired in China. Sign Language Recognition (SLR) can shorten the distance …
mmASL: Environment-independent ASL gesture recognition using 60 GHz millimeter-wave signals
Home assistant devices such as Amazon Echo and Google Home have become
tremendously popular in the last couple of years. However, due to their voice-controlled …
tremendously popular in the last couple of years. However, due to their voice-controlled …
Neural sign language translation by learning tokenization
Sign Language Translation has attained considerable success recently, raising hopes for
improved communication with the Deaf. A pre-processing step called tokenization improves …
improved communication with the Deaf. A pre-processing step called tokenization improves …
Synthetic smartwatch imu data generation from in-the-wild asl videos
The scarcity of training data available for IMUs in wearables poses a serious challenge for
IMU-based American Sign Language (ASL) recognition. In this paper, we ask the following …
IMU-based American Sign Language (ASL) recognition. In this paper, we ask the following …
Deep learning methods for sign language translation
T Ananthanarayana, P Srivastava, A Chintha… - ACM Transactions on …, 2021 - dl.acm.org
Many sign languages are bona fide natural languages with grammatical rules and lexicons
hence can benefit from machine translation methods. Similarly, since sign language is a …
hence can benefit from machine translation methods. Similarly, since sign language is a …
Vision transformers and transfer learning approaches for arabic sign language recognition
NM Alharthi, SM Alzahrani - Applied Sciences, 2023 - mdpi.com
Sign languages are complex, but there are ongoing research efforts in engineering and data
science to recognize, understand, and utilize them in real-time applications. Arabic sign …
science to recognize, understand, and utilize them in real-time applications. Arabic sign …
Signnet ii: A transformer-based two-way sign language translation model
L Chaudhary, T Ananthanarayana… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The role of a sign interpreting agent is to bridge the communication gap between the
hearing-only and Deaf or Hard of Hearing communities by translating both from sign …
hearing-only and Deaf or Hard of Hearing communities by translating both from sign …
The virtualsign channel for the communication between deaf and hearing users
T Oliveira, N Escudeiro, P Escudeiro… - … de Tecnologias del …, 2019 - ieeexplore.ieee.org
Deaf students, who use sign language as their mother language, continuously experience
difficulties to communicate with non-deaf in their daily lives. This is a severe handicap in …
difficulties to communicate with non-deaf in their daily lives. This is a severe handicap in …
Indian sign language recognition using fine-tuned deep transfer learning model
Abstract The World Health Organization (WHO) estimates that over 5% of the world
population suffers from hearing impairment. There are over 18 million hearing-impaired …
population suffers from hearing impairment. There are over 18 million hearing-impaired …
Traditional and deep-learning-based denoising methods for medical images
Visual information is extremely important in today's world. Visual information transmitted in
the form of digital images has become a critical mode of communication. As a result, digital …
the form of digital images has become a critical mode of communication. As a result, digital …