A review of hand gesture and sign language recognition techniques
Hand gesture recognition serves as a key for overcoming many difficulties and providing
convenience for human life. The ability of machines to understand human activities and their …
convenience for human life. The ability of machines to understand human activities and their …
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 …
Signring: Continuous american sign language recognition using imu rings and virtual imu data
Sign language is a natural language widely used by Deaf and hard of hearing (DHH)
individuals. Advanced wearables are developed to recognize sign language automatically …
individuals. Advanced wearables are developed to recognize sign language automatically …
KArSL: Arabic sign language database
Sign language is the major means of communication for the deaf community. It uses body
language and gestures such as hand shapes, lib patterns, and facial expressions to convey …
language and gestures such as hand shapes, lib patterns, and facial expressions to convey …
[PDF][PDF] Benchmark databases for video-based automatic sign language recognition
A new, linguistically annotated, video database for automatic sign language recognition is
presented. The new RWTH-BOSTON-400 corpus, which consists of 843 sentences, several …
presented. The new RWTH-BOSTON-400 corpus, which consists of 843 sentences, several …
Combination of tangent distance and an image distortion model for appearance-based sign language recognition
In this paper, we employ a zero-order local deformation model to model the visual variability
of video streams of American sign language (ASL) words. We discuss two possible ways of …
of video streams of American sign language (ASL) words. We discuss two possible ways of …
Enhanced continuous sign language recognition using PCA and neural network features
YL Gweth, C Plahl, H Ney - 2012 IEEE Computer Society …, 2012 - ieeexplore.ieee.org
In this work a Gaussian Hidden Markov Model (GHMM) based automatic sign language
recognition system is built on the SIGNUM database. The system is trained on appearance …
recognition system is built on the SIGNUM database. The system is trained on appearance …
New shared & interconnected asl resources: Signstream® 3 software; dai 2 for web access to linguistically annotated video corpora; and a sign bank
C Neidle, A Opoku, G Dimitriadis… - 8th Workshop on the …, 2018 - par.nsf.gov
2017 marked the release of a new version of SignStream® software, designed to facilitate
linguistic analysis of ASL video. SignStream® provides an intuitive interface for labeling and …
linguistic analysis of ASL video. SignStream® provides an intuitive interface for labeling and …
[PDF][PDF] Vision based sign language recognition: modeling and recognizing isolated signs with manual and non-manual components
O Aran - 2008 - Citeseer
This thesis addresses the problem of vision based sign language recognition and focuses
on three main tasks to design improved techniques that increase the performance of sign …
on three main tasks to design improved techniques that increase the performance of sign …
Arabic sign language benchmark database for different heterogeneous sensors
The lack of a visualized representation for standard Arabic Sign Language (ArSL) makes it
difficult to do something as common place as looking up an unknown word in a dictionary …
difficult to do something as common place as looking up an unknown word in a dictionary …