A comprehensive review of sign language recognition: Different types, modalities, and datasets
M Madhiarasan, PP Roy - arXiv preprint arXiv:2204.03328, 2022 - arxiv.org
A machine can understand human activities, and the meaning of signs can help overcome
the communication barriers between the inaudible and ordinary people. Sign Language …
the communication barriers between the inaudible and ordinary people. Sign Language …
Korean sign language recognition using transformer-based deep neural network
Sign language recognition (SLR) is one of the crucial applications of the hand gesture
recognition and computer vision research domain. There are many researchers who have …
recognition and computer vision research domain. There are many researchers who have …
Advancements in Indian sign language recognition systems: Enhancing communication and accessibility for the deaf and hearing impaired
A Hussain, N Saikia, C Dev - Asian Journal of Electrical Sciences, 2023 - ajesjournal.org
Sign language is an ocular-mobile language utilized by deaf or hearing-impaired
individuals. It conveys a combination of handshapes, motions, facial expressions, and body …
individuals. It conveys a combination of handshapes, motions, facial expressions, and body …
Dynamic Korean sign language recognition using pose estimation based and attention-based neural network
Sign language recognition is crucial for improving communication accessibility for the
hearing impaired community and reducing dependence on human interpreters. Notably …
hearing impaired community and reducing dependence on human interpreters. Notably …
Diverse hand gesture recognition dataset
Z Mohammadi, A Akhavanpour, R Rastgoo… - Multimedia Tools and …, 2024 - Springer
Abstract Hand Gesture Recognition (HGR) is a challenging computer vision task. Recently,
by taking advantages of deep learning-based models, HGR methods have achieved …
by taking advantages of deep learning-based models, HGR methods have achieved …
Korean Sign Language Alphabet Recognition through the Integration of Handcrafted and Deep Learning-Based Two-Stream Feature Extraction Approach
Recognizing sign language plays a crucial role in improving communication accessibility for
the Deaf and hard-of-hearing communities. In Korea, many individuals facing hearing and …
the Deaf and hard-of-hearing communities. In Korea, many individuals facing hearing and …
[HTML][HTML] HANDS: an RGB-D dataset of static hand-gestures for human-robot interaction
The HANDS dataset has been created for human-robot interaction research, and it is
composed of spatially and temporally aligned RGB and Depth frames. It contains 12 static …
composed of spatially and temporally aligned RGB and Depth frames. It contains 12 static …
No-code robotic programming for agile production: A new markerless-approach for multimodal natural interaction in a human-robot collaboration context
Industrial robots and cobots are widely deployed in most industrial sectors. However, robotic
programming still needs a lot of time and effort in small batch sizes, and it demands specific …
programming still needs a lot of time and effort in small batch sizes, and it demands specific …
Hand gesture recognition from 2D images by using convolutional capsule neural networks
Object classification and recognition are an important research area widely used in
computer vision and machine learning. With the use of deep learning methods in the field of …
computer vision and machine learning. With the use of deep learning methods in the field of …
[HTML][HTML] MuViH: Multi-View Hand gesture dataset and recognition pipeline for human–robot interaction in a collaborative robotic finishing platform
C Hubert, N Odic, M Noel, S Gharib… - Robotics and Computer …, 2025 - Elsevier
The proliferation of tedious and repetitive tasks on production lines has accelerated the
deployment of automated robots. This has also led to a demand for more flexible robots …
deployment of automated robots. This has also led to a demand for more flexible robots …