[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 …
Deep learning-based approach for sign language gesture recognition with efficient hand gesture representation
Hand gesture recognition is an attractive research field with a wide range of applications,
including video games and telesurgery techniques. Another important application of hand …
including video games and telesurgery techniques. Another important application of hand …
[HTML][HTML] A survey on Sign Language machine translation
A Núñez-Marcos, O Perez-de-Viñaspre… - Expert Systems with …, 2023 - Elsevier
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 …
Hand sign language recognition using multi-view hand skeleton
Hand sign language recognition from video is a challenging research area in computer
vision, which performance is affected by hand occlusion, fast hand movement, illumination …
vision, which performance is affected by hand occlusion, fast hand movement, illumination …
Quantitative survey of the state of the art in sign language recognition
O Koller - arXiv preprint arXiv:2008.09918, 2020 - arxiv.org
This work presents a meta study covering around 300 published sign language recognition
papers with over 400 experimental results. It includes most papers between the start of the …
papers with over 400 experimental results. It includes most papers between the start of the …
Hand gesture recognition via enhanced densely connected convolutional neural network
Hand gesture recognition (HGR) serves as a fundamental way of communication and
interaction for human being. While HGR can be applied in human computer interaction (HCI) …
interaction for human being. While HGR can be applied in human computer interaction (HCI) …
Convolutional neural network with spatial pyramid pooling for hand gesture recognition
Hand gesture provides a means for human to interact through a series of gestures. While
hand gesture plays a significant role in human–computer interaction, it also breaks down the …
hand gesture plays a significant role in human–computer interaction, it also breaks down the …
Sign language recognition based on hand and body skeletal data
D Konstantinidis, K Dimitropoulos… - 2018-3DTV-conference …, 2018 - ieeexplore.ieee.org
Sign language recognition (SLR) is a challenging, but highly important research field for
several computer vision systems that attempt to facilitate the communication among the deaf …
several computer vision systems that attempt to facilitate the communication among the deaf …
[HTML][HTML] Survey on sign language recognition in context of vision-based and deep learning
S Subburaj, S Murugavalli - Measurement: Sensors, 2022 - Elsevier
Every day we see many people with disabilities like the deaf, the dumb and the blind, etc.
Sign language is one of the communication tools for the hard-of-hearing people community …
Sign language is one of the communication tools for the hard-of-hearing people community …