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 …
Systematic literature review of hand gestures used in human computer interaction interfaces
Gestures, widely accepted as a humans' natural mode of interaction with their surroundings,
have been considered for use in human-computer based interfaces since the early 1980s …
have been considered for use in human-computer based interfaces since the early 1980s …
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 …
A sign language recognition system applied to deaf-mute medical consultation
K Xia, W Lu, H Fan, Q Zhao - Sensors, 2022 - mdpi.com
It is an objective reality that deaf-mute people have difficulty seeking medical treatment. Due
to the lack of sign language interpreters, most hospitals in China currently do not have the …
to the lack of sign language interpreters, most hospitals in China currently do not have the …
Deep neural learning techniques with long short-term memory for gesture recognition
DK Jain, A Mahanti, P Shamsolmoali… - Neural Computing and …, 2020 - Springer
Gesture recognition is a kind of biometric which has assumed great significance in the field
of computer vision for communicating information through human activities. To recognize the …
of computer vision for communicating information through human activities. To recognize the …
A dynamic gesture recognition and prediction system using the convexity approach
P Barros, NT Maciel-Junior, BJT Fernandes… - Computer Vision and …, 2017 - Elsevier
Several researchers around the world have studied gesture recognition, but most of the
recent techniques fall in the curse of dimensionality and are not useful in real time …
recent techniques fall in the curse of dimensionality and are not useful in real time …
Finger angle-based hand gesture recognition for smart infrastructure using wearable wrist-worn camera
Featured Application Interaction with domestic robots and appliances in smart infrastructure.
Abstract The arising of domestic robots in smart infrastructure has raised demands for …
Abstract The arising of domestic robots in smart infrastructure has raised demands for …
[PDF][PDF] Wearable on-device deep learning system for hand gesture recognition based on FPGA accelerator
W Jiang, X Ye, R Chen, F Su, M Lin, Y Ma… - Mathematical …, 2021 - aimspress.com
Gesture recognition is critical in the field of Human-Computer Interaction, especially in
healthcare, rehabilitation, sign language translation, etc. Conventionally, the gesture …
healthcare, rehabilitation, sign language translation, etc. Conventionally, the gesture …
Depth data and fusion of feature descriptors for static gesture recognition
In this study, the authors propose a novel methodology for static gesture recognition in a
complex background using only depth map from Microsoft's Kinect camera. Four different …
complex background using only depth map from Microsoft's Kinect camera. Four different …
A component-based vocabulary-extensible sign language gesture recognition framework
S Wei, X Chen, X Yang, S Cao, X Zhang - Sensors, 2016 - mdpi.com
Sign language recognition (SLR) can provide a helpful tool for the communication between
the deaf and the external world. This paper proposed a component-based vocabulary …
the deaf and the external world. This paper proposed a component-based vocabulary …