[HTML][HTML] Machine learning methods for sign language recognition: A critical review and analysis

IA Adeyanju, OO Bello, MA Adegboye - Intelligent Systems with …, 2021 - Elsevier
Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …

A systematic literature review on vision based gesture recognition techniques

AS Al-Shamayleh, R Ahmad, MAM Abushariah… - Multimedia Tools and …, 2018 - Springer
Abstract Human Computer Interaction (HCI) technologies are rapidly evolving the way we
interact with computing devices and adapting to the constantly increasing demands of …

Convolutional neural networks and long short-term memory for skeleton-based human activity and hand gesture recognition

JC Nunez, R Cabido, JJ Pantrigo, AS Montemayor… - Pattern Recognition, 2018 - Elsevier
In this work, we address human activity and hand gesture recognition problems using 3D
data sequences obtained from full-body and hand skeletons, respectively. To this aim, we …

Dynamic hand gesture recognition based on 3D hand pose estimation for human–robot interaction

Q Gao, Y Chen, Z Ju, Y Liang - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Dynamic hand gesture recognition is a challenging problem in the area of hand-based
human–robot interaction (HRI), such as issues of a complex environment and dynamic …

[PDF][PDF] Vision-Based Hand Gesture Recognition for Human-Computer Interaction.

X Zabulis, H Baltzakis, AA Argyros - The universal access handbook, 2009 - academia.edu
In recent years, research efforts seeking to provide more natural, human-centered means of
interacting with computers have gained growing interest. A particularly important direction is …

RETRACTED ARTICLE: Static hand gesture recognition using neural networks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 …

Markerless kinect-based hand tracking for robot teleoperation

G Du, P Zhang, J Mai, Z Li - International Journal of …, 2012 - journals.sagepub.com
This paper presents a real-time remote robot teleoperation method using markerless Kinect-
based hand tracking. Using this tracking algorithm, the positions of index finger and thumb in …

3d-cnn based dynamic gesture recognition for indian sign language modeling

DK Singh - Procedia Computer Science, 2021 - Elsevier
Hand gestures used in Indian Sign Language (ISL) are static and dynamic in the time
domain. The Indian Sign Language is available as a standard but is still not very common …

[图书][B] The universal access handbook

C Stephanidis - 2009 - taylorfrancis.com
In recent years, the field of Universal Access has made significant progress in consolidating
theoretical approaches, scientific methods and technologies, as well as in exploring new …

Structured dynamic time warping for continuous hand trajectory gesture recognition

J Tang, H Cheng, Y Zhao, H Guo - Pattern Recognition, 2018 - Elsevier
Continuous hand gesture recognition is an important area of HCI and challenged by various
writing habits and unconstrained hand movement. In this paper, we propose a Structured …