A review of hand gesture and sign language recognition techniques

MJ Cheok, Z Omar, MH Jaward - International Journal of Machine …, 2019 - Springer
Hand gesture recognition serves as a key for overcoming many difficulties and providing
convenience for human life. The ability of machines to understand human activities and their …

Deep learning for sign language recognition: Current techniques, benchmarks, and open issues

M Al-Qurishi, T Khalid, R Souissi - IEEE Access, 2021 - ieeexplore.ieee.org
People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …

Enhanced skeleton visualization for view invariant human action recognition

M Liu, H Liu, C Chen - Pattern Recognition, 2017 - Elsevier
Human action recognition based on skeletons has wide applications in human–computer
interaction and intelligent surveillance. However, view variations and noisy data bring …

[PDF][PDF] An efficient method for human hand gesture detection and recognition using deep learning convolutional neural networks

PS Neethu, R Suguna, D Sathish - Soft Computing, 2020 - academia.edu
The physical movement of the human hand produces gestures, and hand gesture
recognition leads to the advancement in automated vehicle movement system. In this paper …

6D hands: markerless hand-tracking for computer aided design

R Wang, S Paris, J Popović - Proceedings of the 24th annual ACM …, 2011 - dl.acm.org
Computer Aided Design (CAD) typically involves tasks such as adjusting the camera
perspective and assembling pieces in free space that require specifying 6 degrees of …

Hand tracking and gesture recognition system for human-computer interaction using low-cost hardware

HS Yeo, BG Lee, H Lim - Multimedia Tools and Applications, 2015 - Springer
Abstract Human-Computer Interaction (HCI) exists ubiquitously in our daily lives. It is usually
achieved by using a physical controller such as a mouse, keyboard or touch screen. It …

Hand gesture recognition using a neural network shape fitting technique

E Stergiopoulou, N Papamarkos - Engineering Applications of Artificial …, 2009 - Elsevier
A new method for hand gesture recognition that is based on a hand gesture fitting procedure
via a new Self-Growing and Self-Organized Neural Gas (SGONG) network is proposed …

Influence of hand tracking as a way of interaction in virtual reality on user experience

JN Voigt-Antons, T Kojic, D Ali… - … Conference on Quality of …, 2020 - ieeexplore.ieee.org
With the rising interest in Virtual Reality and the fast development and improvement of
available devices, new features of interactions are becoming available. One of them that is …

Development of hand gesture recognition system using machine learning

P Parvathy, K Subramaniam… - Journal of Ambient …, 2021 - Springer
Human computer interaction (HCI) systems are increasing due to the demand for non-
intrusive methods for communicating with machines. In this research article, vision based …

RETRACTED ARTICLE: Static hand gesture recognition using neural networks

H Hasan, S Abdul-Kareem - Artificial Intelligence Review, 2014 - Springer
This paper presents a novel technique for hand gesture recognition through human–
computer interaction based on shape analysis. The main objective of this effort is to explore …