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 …

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 …

Several DataGlove wearable electronic devices based on real-time Sign Language
Recognition Systems (SLRSs) have been developed recently to assist the deaf and dumb …

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 …

This work proposes a pattern recognition model for static gestures in Malaysian Sign
Language (MSL) based on Machine Learning (ML) techniques. The proposed model is …

Background and objective: Principally, the procedure of pattern recognition in terms of
segmentation plays a significant role in a BCI-based wheelchair control system for avoiding …

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 …

Brain-computer interface (BCI-MI)-based wheelchair control is, in principle, an appropriate
method for completely paralyzed people with a healthy brain. In a BCI-based wheelchair …

Brain-computer interface (BCI) is an appropriate technique for totally paralyzed people with
a healthy brain. BCI based motor imagery (MI) is a common approach and widely used in …

There is an urgent need, accelerated by the COVID-19 pandemic, for methods that allow
clinicians and neuroscientists to remotely evaluate hand movements. This would help detect …