Results 181 to 190 of about 20,260 (228)

3D Motion Capture for Indian Sign Language Recognition (SLR)

2017
A 3D motion capture system is being used to develop a complete 3D sign language recognition (SLR) system. This paper introduces motion capture technology and its capacity to capture human hands in 3D space. A hand template is designed with marker positions to capture different characteristics of Indian sign language.
E. Kiran Kumar, P. V. V. Kishore, A. S. C. S. Sastry, D. Anil Kumar   +3 more
openaire   +2 more sources

LGF-SLR: Hand Local–Global Fusion Network for Skeleton-Based Sign Language Recognition

IEEE Sensors Journal
For those who are hard of hearing, sign language recognition (SLR) technology can offer a more practical and effective means of communication. A skeleton-based SLR system has gained prominence and has been employed in practical settings due to its ...
Qing Gao, Meiqi Zhang, Zhaojie Ju
openaire   +2 more sources

DHF-SLR: Dual-Hand Multi-Stream Fusion Network for Skeleton-Based Sign Language Recognition

2024 International Conference on Advanced Robotics and Mechatronics (ICARM)
The capacity of skeleton-based sign recognition to adapt well to complicated backgrounds and dynamic settings has drawn increasing interest. However, this method often suffers from incomplete hand skeleton information which leads to a low recognition ...
Meiqi Zhang, Qing Gao, Zhaojie Ju
openaire   +2 more sources

TIM-SLR: a lightweight network for video isolated sign language recognition

Neural Computing and Applications, 2023
Fei Wang, Libo Zhang, Hao Yan, Shuai Han
openaire   +2 more sources

PseudoDepth-SLR: Generating Depth Data for Sign Language Recognition

International Conference on Virtual Storytelling, 2023
Noha Sarhan, Jan M. Willruth, Simone Fritnrop   +2 more
openaire   +2 more sources

Recent Advancements in Automatic Sign Language Recognition (SLR)

2020
Varshini Prakash, B.K. Tripathy
openaire   +2 more sources

Sign Language Recognition (SLR): A Brisk Paired Deep Metric Attention Learning (BPDMAL) Model for Video Data Applications

SN Computer Science
P. V. V. Kishore, D. Anil Kumar, K. Srinivasa Rao   +2 more
openaire   +2 more sources

Holistic-Based Cross-Attention Modal Fusion Network for Video Sign Language Recognition

IEEE Transactions on Computational Social Systems
As a bridge between the deaf people and the outside, sign language primarily involves hand movements, complemented by intricate facial and body expressions.
Qing Gao, Jing Hu, Haixing Mai, Zhaojie Ju   +3 more
semanticscholar   +1 more source

Text-Aligned Radar-Based Sign Language Recognition for Healthcare Communication

2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
Sign language recognition (SLR) aims to bridge the communication gap between signers and non-signers through automated interpretation of signs. While most existing methods rely on RGB or depth video, we explore radar signals as a privacy-preserving ...
Raffaele Mineo, Amelia Sorrenti, Gaia Caligiore, F. Salanitri, Giovanni Bellitto, Senya Polikovsky, Sabina Fontana, Egidio Ragonese, C. Spampinato, S. Palazzo   +9 more
semanticscholar   +1 more source

Sign Language Recognition: A Large-scale Multi-view Dataset and Comprehensive Evaluation

IEEE Workshop/Winter Conference on Applications of Computer Vision
Vision-based sign language recognition is an extensively researched problem aimed at advancing communication be-tween deaf and hearing individuals. Numerous Sign Lan-guage Recognition (SLR) datasets have been introduced to promote research in this field,
Nguyen Son Dinh, T. Nguyen, Duc Tri Tran, Nguyen Dang Huy Pham, T. Tran, Ngoc Anh Tong, Quang Huy Hoang, P. Nguyen   +7 more
semanticscholar   +1 more source