Results 131 to 140 of about 551 (165)

Bilingual Sign Language Recognition: A YOLOv11-Based Model for Bangla and English Alphabets. [PDF]

J Imaging
Navin N, Farid FA, Rakin RZ, Tanzim SS, Rahman M, Rahman S, Uddin J, Karim HA.   +7 more
europepmc   +1 more source

Innovative hand pose based sign language recognition using hybrid metaheuristic optimization algorithms with deep learning model for hearing impaired persons. [PDF]

Sci Rep
Alabduallah B, Al Dayil R, Al Dayil R, Alkharashi A, Alneil AA.   +4 more
europepmc   +1 more source

Toward a Recognition System for Mexican Sign Language: Arm Movement Detection. [PDF]

Sensors (Basel)
Hilario-Acuapan G, Ordaz-Hernández K, Castelán M, Lopez-Juarez I.   +3 more
europepmc   +1 more source

A large dataset covering the Chinese national sign language for dual-view isolated sign language recognition. [PDF]

Sci Data
Jin P, Li H, Yang J, Ren Y, Li Y, Zhou L, Liu J, Zhang M, Pu X, Jing S.   +9 more
europepmc   +1 more source

Recognizing American Sign Language gestures efficiently and accurately using a hybrid transformer model. [PDF]

Sci Rep
Aly M, Fathi IS.
europepmc   +1 more source

IoT-driven smart assistive communication system for the hearing impaired with hybrid deep learning models for sign language recognition. [PDF]

Sci Rep
Maashi M, Iskandar HG, Rizwanullah M.
europepmc   +1 more source

SSTA-ResT: Soft Spatiotemporal Attention ResNet Transformer for Argentine Sign Language Recognition. [PDF]

Sensors (Basel)
Liu X, Zhou Z, Xia E, Yin X.
europepmc   +1 more source

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(2+1)D-SLR: an efficient network for video sign language recognition

Neural Computing and Applications, 2021
The most existing sign language recognition methods have made significant progress. However, there are still problems in the field of sign language recognition: Traditional SLR technology relies on external devices such as data gloves, position tracker, and has achieved limited success.
Fei Wang, Guorui Wang, Lihong Zhao
exaly   +3 more sources

An Efficient Sign Language Recognition (SLR) System Using Camshift Tracker and Hidden Markov Model (HMM)

SN Computer Science, 2021
An efficient Sign Language Recognition (SLR) system could facilitate communication with hearing impaired persons by identifying the sign gestures. Similar to regional spoken languages, different regions have developed their own sign gesture representations (for example, American Sign Language (ASL), German Sign Language (GSL), Indian Sign Language (ISL)
Byung-Gyu Kim, Pradeep Kumar, Partha Pratim Roy   +2 more
exaly   +2 more sources

A position and rotation invariant framework for sign language recognition (SLR) using Kinect

Multimedia Tools and Applications, 2017
Sign language is the only means of communication for speech and hearing impaired people. Using machine translation, Sign Language Recognition (SLR) systems provide medium of communication between speech and hearing impaired and others who have difficulty in understanding such languages.
Rajkumar Saini, Debi Prosad Dogra, Pradeep Kumar   +2 more
exaly   +3 more sources