Results 121 to 130 of about 762 (197)
A low cost learning based sign language recognition system
, 2018 Sign Language Recognition (SLR) is an active area of research due to its important role in Human Computer Interaction (HCI). The aim of this work is to automatically recognize hand gestures consisting of the movement of hand, arm and fingers.
ABDULLAH HAKAN AKIŞ
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Sign Language Recognition System – A Review
Part 2: SDG 4 Quality EducationInternational audienceSpeech is the easiest and the most basic mode of communication in our day-to-day life. Hence, speech impaired people are at a major disadvantage in this concern.
Sahayaraj, Jovitha +2 more
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Innovations in Deaf Health Care Communication: Systematic Review of Sign Language Recognition Systems. [PDF]
J Med Internet ResMarcolino MS +11 more
europepmc +1 more source
An explainable hybrid CNN-transformer model for sign language recognition on edge devices using adaptive fusion and knowledge distillation. [PDF]
Sci RepLamaakal I +4 more
europepmc +1 more source
Video-Based Arabic Sign Language Recognition with Mediapipe and Deep Learning Techniques. [PDF]
J ImagingEl-Rushaidat D +3 more
europepmc +1 more source
A novel deep transformer based CvT model for sign language recognition in visual communication. [PDF]
Sci RepHao J, Pan H.
europepmc +1 more source
Sign4all: a Spanish Sign Language dataset. [PDF]
Sci DataMorillas-Espejo F, Martinez-Martin E.
europepmc +1 more source
Sign classification in sign language Corpora with deep neural networks
, 2016 Automatic and unconstrained sign language recognition (SLR) in image sequences remains a challenging problem. The variety of signers, backgrounds, sign executions and signer positions makes the development of SLR systems very challenging. Current methods
Pigou, Lionel +2 more
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