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A methodological and structural review of hand gesture recognition across diverse data modalities
Researchers have been develo** Hand Gesture Recognition (HGR) systems to enhance
natural, efficient, and authentic human-computer interaction, especially benefiting those who …
natural, efficient, and authentic human-computer interaction, especially benefiting those who …
Korean sign language recognition using transformer-based deep neural network
Sign language recognition (SLR) is one of the crucial applications of the hand gesture
recognition and computer vision research domain. There are many researchers who have …
recognition and computer vision research domain. There are many researchers who have …
[HTML][HTML] A hybrid approach for Bangla sign language recognition using deep transfer learning model with random forest classifier
Sign language is the comprehensive medium of mass communication for hearing and
speaking impaired individuals. As they can't speak or hear, they aren't able to use sound or …
speaking impaired individuals. As they can't speak or hear, they aren't able to use sound or …
[HTML][HTML] Bensignnet: Bengali sign language alphabet recognition using concatenated segmentation and convolutional neural network
Sign language recognition is one of the most challenging applications in machine learning
and human-computer interaction. Many researchers have developed classification models …
and human-computer interaction. Many researchers have developed classification models …
Hand gesture recognition for multi-culture sign language using graph and general deep learning network
Hand gesture-based Sign Language Recognition (SLR) serves as a crucial communication
bridge between hard of hearing and non-deaf individuals. The absence of a universal sign …
bridge between hard of hearing and non-deaf individuals. The absence of a universal sign …
Bangla sign language (bdsl) alphabets and numerals classification using a deep learning model
A real-time Bangla Sign Language interpreter can enable more than 200 k hearing and
speech-impaired people to the mainstream workforce in Bangladesh. Bangla Sign …
speech-impaired people to the mainstream workforce in Bangladesh. Bangla Sign …
[HTML][HTML] Computer vision-based six layered convneural network to recognize sign language for both numeral and alphabet signs
MA Rahaman, KU Oyshe, PK Chowdhury… - Biomimetic Intelligence …, 2024 - Elsevier
People who have trouble communicating verbally are often dependent on sign language,
which can be difficult for most people to understand, making interaction with them a difficult …
which can be difficult for most people to understand, making interaction with them a difficult …
Bangla sign alphabet recognition with zero-shot and transfer learning
Bangla, being the fifth most spoken language in the world has its own distinct sign language
with two methods (one-handed and two-handed) of representation. However, a standard …
with two methods (one-handed and two-handed) of representation. However, a standard …
A systematic review on the chronological development of bangla sign language recognition systems
Despite sign language being the primary medium of conversation with deaf and dumb (DD)
individuals, it is hard to grasp for any class of people, making communication immensely …
individuals, it is hard to grasp for any class of people, making communication immensely …
Computer Vision Based Bangla Sign Language Recognition Using Transfer Learning
Human societies have relied on communication since ancient times, yet verbal
communication poses significant challenges for deaf and hard-of-hearing individuals …
communication poses significant challenges for deaf and hard-of-hearing individuals …