Two Dimensional Deep CNN Model for Vision-based Fingerspelling Recognition System
Z Kozhamkulova, E Nurlybaeva… - International …, 2023 - search.proquest.com
This paper presents a novel approach to fingerspelling recognition in real-time, utilizing a
two-dimensional Convolutional Neural Network (2D CNN). Existing recognition systems …
two-dimensional Convolutional Neural Network (2D CNN). Existing recognition systems …
A convolutional neural network to classify American Sign Language fingerspelling from depth and colour images
Sign language is used by approximately 70 million (http://wfdeaf. org/human‐rights/crpd/sign‐
language) people throughout the world, and an automatic tool for interpreting it could make …
language) people throughout the world, and an automatic tool for interpreting it could make …
Deep learning framework for fingerspelling system using CNN
C Raghavachari, GAS Sundaram - … International Conference on …, 2020 - ieeexplore.ieee.org
Sign language is used for communication among the hearing-challenged-cum-speech-
challenged community. It is the language that uses facial expressions, movements of hands …
challenged community. It is the language that uses facial expressions, movements of hands …
A scale space model of weighted average CNN ensemble for ASL fingerspelling recognition
N Aloysius, M Geetha - International Journal of …, 2020 - inderscienceonline.com
A sign language recognition system facilitates communication between the deaf community
and the hearing majority. This paper proposes a novel specialised convolutional neural …
and the hearing majority. This paper proposes a novel specialised convolutional neural …
Indonesian Sign Language Fingerspelling Recognition using Vision-based Machine Learning
N Nurrahma, R Yusuf… - … Conference on Intelligent …, 2021 - ieeexplore.ieee.org
Sign language is a method of communication using hand gestures that are usually used by
Deaf people. In Indonesia, there are 2 types of sign language, namely SIBI and BISINDO …
Deaf people. In Indonesia, there are 2 types of sign language, namely SIBI and BISINDO …
RFaNet: Receptive field-aware network with finger attention for fingerspelling recognition using a depth sensor
SH Yang, YM Cheng, JW Huang, YP Chen - Mathematics, 2021 - mdpi.com
Automatic fingerspelling recognition tackles the communication barrier between deaf and
hearing individuals. However, the accuracy of fingerspelling recognition is reduced by high …
hearing individuals. However, the accuracy of fingerspelling recognition is reduced by high …
American sign language fingerspelling recognition using attention model
Sign Language Recognition (SLR) is a complex gesture recognition problem because of the
quick and highly coarticulated motion involved in gestures. This research work focuses on …
quick and highly coarticulated motion involved in gestures. This research work focuses on …
A fine-grained visual attention approach for fingerspelling recognition in the wild
Fingerspelling in sign language has been the means of communicating technical terms and
proper nouns when they do not have dedicated sign language gestures. Automatic …
proper nouns when they do not have dedicated sign language gestures. Automatic …
[PDF][PDF] Real-time sign language fingerspelling recognition using convolutional neural network.
A Oguntimilehin, K Balogun - Int. Arab J. Inf. Technol., 2024 - researchgate.net
Sign language allows mute people to communicate, problem occurs when a
conversationalist fails to understand it. Despite efforts to address this problem, an effective …
conversationalist fails to understand it. Despite efforts to address this problem, an effective …
Convolutional Neural Network based Sign Language Recognition to Assist Online Assessment
Sign languages are the visual mode of communication used by the deaf individuals.
Learning sign languages at an early age is very essential for the social and intellectual …
Learning sign languages at an early age is very essential for the social and intellectual …