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 …
How2sign: a large-scale multimodal dataset for continuous american sign language
One of the factors that have hindered progress in the areas of sign language recognition,
translation, and production is the absence of large annotated datasets. Towards this end, we …
translation, and production is the absence of large annotated datasets. Towards this end, we …
Continuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers
This work presents a statistical recognition approach performing large vocabulary
continuous sign language recognition across different signers. Automatic sign language …
continuous sign language recognition across different signers. Automatic sign language …
A review of motion analysis methods for human nonverbal communication computing
Human Nonverbal Communication Computing aims to investigate how people exploit
nonverbal aspects of their communication to coordinate their activities and social …
nonverbal aspects of their communication to coordinate their activities and social …
Mlslt: Towards multilingual sign language translation
Most of the research to date focuses on bilingual sign language translation (BSLT).
However, such models are inefficient in building multilingual sign language translation …
However, such models are inefficient in building multilingual sign language translation …
[PDF][PDF] Extensions of the Sign Language Recognition and Translation Corpus RWTH-PHOENIX-Weather.
This paper introduces the RWTH-PHOENIX-Weather 2014, a video-based, large vocabulary,
German sign language corpus which has been extended over the last two years, tripling the …
German sign language corpus which has been extended over the last two years, tripling the …
Recognizing american sign language gestures from within continuous videos
Y Ye, Y Tian, M Huenerfauth… - Proceedings of the IEEE …, 2018 - openaccess.thecvf.com
In this paper, we propose a novel hybrid model, 3D recurrent convolutional neural networks
(3DRCNN), to recognize American Sign Language (ASL) gestures and localize their …
(3DRCNN), to recognize American Sign Language (ASL) gestures and localize their …
Isolated sign language recognition using convolutional neural network hand modelling and hand energy image
This paper presents an isolated sign language recognition system that comprises of two
main phases: hand tracking and hand representation. In the hand tracking phase, an …
main phases: hand tracking and hand representation. In the hand tracking phase, an …
An efficient sign language recognition (SLR) system using Camshift tracker and hidden Markov model (hmm)
Abstract An efficient Sign Language Recognition (SLR) system could facilitate
communication with hearing impaired persons by identifying the sign gestures. Similar to …
communication with hearing impaired persons by identifying the sign gestures. Similar to …
Design and evaluation of hybrid search for american sign language to english dictionaries: Making the most of imperfect sign recognition
Searching for the meaning of an unfamiliar sign-language word in a dictionary is difficult for
learners, but emerging sign-recognition technology will soon enable users to search by …
learners, but emerging sign-recognition technology will soon enable users to search by …