[HTML][HTML] Machine learning methods for sign language recognition: A critical review and analysis
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 …
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
A systematic literature review on vision based gesture recognition techniques
Abstract Human Computer Interaction (HCI) technologies are rapidly evolving the way we
interact with computing devices and adapting to the constantly increasing demands of …
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
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 …
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
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 …
human–robot interaction (HRI), such as issues of a complex environment and dynamic …
[PDF][PDF] Vision-Based Hand Gesture Recognition for Human-Computer Interaction.
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 …
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RETRACTED ARTICLE: Static hand gesture recognition using neural networks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 …
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 …
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 …
domain. The Indian Sign Language is available as a standard but is still not very common …
[BUKU][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 …
theoretical approaches, scientific methods and technologies, as well as in exploring new …
Structured dynamic time war** for continuous hand trajectory gesture recognition
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 …
writing habits and unconstrained hand movement. In this paper, we propose a Structured …