Korean Sign Language Alphabet Recognition through the Integration of Handcrafted and Deep Learning-Based Two-Stream Feature Extraction Approach
Recognizing sign language plays a crucial role in improving communication accessibility for
the Deaf and hard-of-hearing communities. In Korea, many individuals facing hearing and …
the Deaf and hard-of-hearing communities. In Korea, many individuals facing hearing and …
Sign Language Recognition: A Comprehensive Review of Traditional and Deep Learning Approaches, Datasets, and Challenges
T Tao, Y Zhao, T Liu, J Zhu - IEEE Access, 2024 - ieeexplore.ieee.org
The Deaf are a large social group in society. Their unique way of communicating through
sign language is often confined within their community due to limited understanding by …
sign language is often confined within their community due to limited understanding by …
Spatial–temporal attention with graph and general neural network-based sign language recognition
Automatic sign language recognition (SLR) stands as a vital aspect within the realms of
human–computer interaction and computer vision, facilitating the conversion of hand signs …
human–computer interaction and computer vision, facilitating the conversion of hand signs …
Residual-Based Multi-Stage Deep Learning Framework for Computer-Aided Alzheimer's Disease Detection
Alzheimer's Disease (AD) poses a significant health risk globally, particularly among the
elderly population. Recent studies underscore its prevalence, with over 50% of elderly …
elderly population. Recent studies underscore its prevalence, with over 50% of elderly …
[HTML][HTML] Contagious infection-free medical interaction system with machine vision controlled by remote hand gesture during an operation
Background and objective Medical image visualization is a requirement in many types of
surgery such as orthopaedic, spinal, thoracic procedures or tumour resection to eliminate …
surgery such as orthopaedic, spinal, thoracic procedures or tumour resection to eliminate …