A Systematic Review of Using Deep Learning Technology in the Steady‐State Visually Evoked Potential‐Based Brain‐Computer Interface Applications: Current …
The significance of deep learning techniques in relation to steady‐state visually evoked
potential‐(SSVEP‐) based brain‐computer interface (BCI) applications is assessed through …
potential‐(SSVEP‐) based brain‐computer interface (BCI) applications is assessed through …
A Systematic Review of Hand Gesture Recognition: An Update From 2018 to 2024
AO Hashi, SZM Hashim, AB Asamah - IEEE Access, 2024 - ieeexplore.ieee.org
Hand gesture is the main method of communication for people who are hearing-impaired,
which poses a difficulty for millions of individuals worldwide when engaging with those who …
which poses a difficulty for millions of individuals worldwide when engaging with those who …
[HTML][HTML] Prediction of geological characteristics from shield operational parameters by integrating grid search and K-fold cross validation into stacking classification …
This study presents a framework for predicting geological characteristics based on
integrating a stacking classification algorithm (SCA) with a grid search (GS) and K-fold cross …
integrating a stacking classification algorithm (SCA) with a grid search (GS) and K-fold cross …
[HTML][HTML] A comparative study of evaluating and benchmarking sign language recognition system-based wearable sensory devices using a single fuzzy set
Recent research has focused on developing real-time sign language recognition systems
(SLRSs) based on gesture recognition to classify hand motions into their equivalent …
(SLRSs) based on gesture recognition to classify hand motions into their equivalent …
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 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 …
Towards physician's experience: Development of machine learning model for the diagnosis of autism spectrum disorders based on complex T‐spherical fuzzy …
Autism spectrum disorders (ASD) are a diverse group of conditions characterized by
difficulty with social interaction and communication. ASD is expected to be a high‐risk …
difficulty with social interaction and communication. ASD is expected to be a high‐risk …
Empowering communication: a deep learning framework for Arabic sign language recognition with an attention mechanism
This article emphasises the urgent need for appropriate communication tools for
communities of people who are deaf or hard-of-hearing, with a specific emphasis on Arabic …
communities of people who are deaf or hard-of-hearing, with a specific emphasis on Arabic …
Technological solutions for sign language recognition: a scoping review of research trends, challenges, and opportunities
Sign languages are critical in conveying meaning by the use of a visual-manual modality
and are the primary means of communication of the deaf and hard of hearing with their …
and are the primary means of communication of the deaf and hard of hearing with their …
State-of-the-art in data gloves: A review of hardware, algorithms, and applications
M Pan, Y Tang, H Li - IEEE Transactions on Instrumentation …, 2023 - ieeexplore.ieee.org
Data glove is one of the devices that can express human intention via detecting hand motion
with high precision. In recent years, flourished applications have been driven by data gloves …
with high precision. In recent years, flourished applications have been driven by data gloves …