Researchers have recently focused their attention on vision-based hand gesture
recognition. However, due to several constraints, achieving an effective vision-driven hand …

Sign language recognition is challenging due to the lack of communication between normal
and affected people. Many social and physiological impacts are created due to speaking or …

Using gestures can help people with certain disabilities in communicating with other people.
This paper proposes a lightweight model based on YOLO (You Only Look Once) v3 and …

Gestures have been used for nonverbal communication for a long time, but human–
computer interaction (HCI) via gestures is becoming more common in the modern era. To …

In this paper, a new structure of deep learning neural network is introduced to identify the
static hand gesture in the sign language. The proposed structure includes the convolutional …

Gesture recognition as a natural, convenient and recognizable way has been received more
and more attention on human-machine interaction (HMI) recently. However, visual-based …

Most dynamic sign word misclassifications are caused by redundant spatial–temporal (SPT)
feature pruning that lacks language semantic and temporal dependencies. SPT feature …

One of the major challenges that deaf people face in modern societal life is communication.
For those engaged in agricultural jobs, efficiency at work and productivity are deeply related …

Every one of us has a unique manner of communicating to explore the world, and such
communication helps to interpret life. Sign language is the popular language of …

Hearing-impaired people use sign language to express their thoughts and emotions and
reinforce information delivered in daily conversations. Though they make a significant …