ML based sign language recognition system
This paper reviews different steps in an automated sign language recognition (SLR) system.
Developing a system that can read and interpret a sign must be trained using a large dataset …
Developing a system that can read and interpret a sign must be trained using a large dataset …
Feature extraction in Brazilian Sign Language Recognition based on phonological structure and using RGB-D sensors
In contrast to speech recognition, whose speech features have been extensively explored in
the research literature, feature extraction in Sign Language Recognition (SLR) is still a very …
the research literature, feature extraction in Sign Language Recognition (SLR) is still a very …
Ms-asl: A large-scale data set and benchmark for understanding american sign language
Sign language recognition is a challenging and often underestimated problem comprising
multi-modal articulators (handshape, orientation, movement, upper body and face) that …
multi-modal articulators (handshape, orientation, movement, upper body and face) that …
Arabic sign language recognition system using 2D hands and body skeleton data
MA Bencherif, M Algabri, MA Mekhtiche, M Faisal… - IEEE …, 2021 - ieeexplore.ieee.org
This paper presents a novel Arabic Sign Language (ArSL) recognition system, using
selected 2D hands and body key points from successive video frames. The system …
selected 2D hands and body key points from successive video frames. The system …
Handling movement epenthesis and hand segmentation ambiguities in continuous sign language recognition using nested dynamic programming
We consider two crucial problems in continuous sign language recognition from unaided
video sequences. At the sentence level, we consider the movement epenthesis (me) …
video sequences. At the sentence level, we consider the movement epenthesis (me) …
Using participatory activities with seniors to critique, build, and evaluate mobile phones
Mobile phones can provide a number of benefits to older people. However, most mobile
phone designs and form factors are targeted at younger people and middle-aged adults. To …
phone designs and form factors are targeted at younger people and middle-aged adults. To …
[HTML][HTML] Multi-cue temporal modeling for skeleton-based sign language recognition
Sign languages are visual languages used as the primary communication medium for the
Deaf community. The signs comprise manual and non-manual articulators such as hand …
Deaf community. The signs comprise manual and non-manual articulators such as hand …
Detecting coarticulation in sign language using conditional random fields
Coarticulation is one of the important factors that makes automatic sign language
recognition a hard problem. Unlike in speech recognition, coarticulation effects in sign …
recognition a hard problem. Unlike in speech recognition, coarticulation effects in sign …
[PDF][PDF] Sign language in the interface: access for deaf signers
M Huenerfauth, V Hanson - Universal Access Handbook. NJ …, 2009 - huenerfauth.ist.rit.edu
This chapter introduces the reader to several important and interrelated issues in deafness,
language literacy, and computer accessibility. Throughout this discussion, the chapter will …
language literacy, and computer accessibility. Throughout this discussion, the chapter will …
[PDF][PDF] Collecting a motion-capture corpus of American Sign Language for data-driven generation research
P Lu, M Huenerfauth - Proceedings of the NAACL HLT 2010 …, 2010 - aclanthology.org
Abstract American Sign Language (ASL) generation software can improve the accessibility
of information and services for deaf individuals with low English literacy. The …
of information and services for deaf individuals with low English literacy. The …