A review of the hand gesture recognition system: Current progress and future directions
This paper reviewed the sign language research in the vision-based hand gesture
recognition system from 2014 to 2020. Its objective is to identify the progress and what …
recognition system from 2014 to 2020. Its objective is to identify the progress and what …
Deep learning for intelligent human–computer interaction
In recent years, gesture recognition and speech recognition, as important input methods in
Human–Computer Interaction (HCI), have been widely used in the field of virtual reality. In …
Human–Computer Interaction (HCI), have been widely used in the field of virtual reality. In …
Deep learning-based approach for sign language gesture recognition with efficient hand gesture representation
Hand gesture recognition is an attractive research field with a wide range of applications,
including video games and telesurgery techniques. Another important application of hand …
including video games and telesurgery techniques. Another important application of hand …
Development of an end-to-end deep learning framework for sign language recognition, translation, and video generation
B Natarajan, E Rajalakshmi, R Elakkiya… - IEEE …, 2022 - ieeexplore.ieee.org
The recent developments in deep learning techniques evolved to new heights in various
domains and applications. The recognition, translation, and video generation of Sign …
domains and applications. The recognition, translation, and video generation of Sign …
Artificial intelligence technologies for sign language
I Papastratis, C Chatzikonstantinou, D Konstantinidis… - Sensors, 2021 - mdpi.com
AI technologies can play an important role in breaking down the communication barriers of
deaf or hearing-impaired people with other communities, contributing significantly to their …
deaf or hearing-impaired people with other communities, contributing significantly to their …
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 …
Extension of interval-valued Pythagorean FDOSM for evaluating and benchmarking real-time SLRSs based on multidimensional criteria of hand gesture recognition …
MS Al-Samarraay, AA Zaidan, OS Albahri… - Applied Soft …, 2022 - Elsevier
Several DataGlove wearable electronic devices based on real-time Sign Language
Recognition Systems (SLRSs) have been developed recently to assist the deaf and dumb …
Recognition Systems (SLRSs) have been developed recently to assist the deaf and dumb …
A comprehensive survey and taxonomy of sign language research
ESM El-Alfy, H Luqman - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Sign language relies on visual gestures of human body parts to convey meaning and plays
a vital role in modern society to communicate and interact with people having hearing …
a vital role in modern society to communicate and interact with people having hearing …
A new extension of FDOSM based on Pythagorean fuzzy environment for evaluating and benchmarking sign language recognition systems
Many studies have recently developed real-time sign language recognition system (SLRS)-
based DataGlove wearable electronic devices for deaf and dumb to assort hand gestures as …
based DataGlove wearable electronic devices for deaf and dumb to assort hand gestures as …
Spatial–temporal feature-based End-to-end Fourier network for 3D sign language recognition
SB Abdullahi, K Chamnongthai… - Expert Systems with …, 2024 - Elsevier
Most dynamic sign word misclassifications are caused by redundant spatial–temporal (SPT)
feature pruning that lacks language semantic and temporal dependencies. SPT feature …
feature pruning that lacks language semantic and temporal dependencies. SPT feature …