[PDF][PDF] A review of vision based hand gestures recognition
GRS Murthy, RS Jadon - International Journal of Information …, 2009 - csjournals.com
With the ever-increasing diffusion of computers into the society, it is widely believed that
present popular mode of interactions with computers (mouse and keyboard) will become a …
present popular mode of interactions with computers (mouse and keyboard) will become a …
RETRACTED ARTICLE: Machine learning based sign language recognition: a review and its research frontier
R Elakkiya - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
In the recent past, research in the field of automatic sign language recognition using
machine learning methods have demonstrated remarkable success and made momentous …
machine learning methods have demonstrated remarkable success and made momentous …
Hand gesture recognition and tracking based on distributed locally linear embedding
In this paper, we present a computer vision system for human gesture recognition and
tracking based on a new nonlinear dimensionality reduction method. Due to the variation of …
tracking based on a new nonlinear dimensionality reduction method. Due to the variation of …
Design and development of a low-cost vision-based 6 dof assistive feeding robot for the aged and specially-abled people
Human-Robot interaction plays a vital role in the service robotics field, especially to support
old age-dependent people for socio-economic reasons. In this paper, an indigenous 3D …
old age-dependent people for socio-economic reasons. In this paper, an indigenous 3D …
[PDF][PDF] A review of vision-based hand gestures
KG Derpanis - Department of Computer Science York University, 2004 - Citeseer
Recently, we have witnessed dramatic improvements in processing speeds and
visualization displays. Yet input devices for the most part have lagged behind, presenting a …
visualization displays. Yet input devices for the most part have lagged behind, presenting a …
[PDF][PDF] Static hand gesture recognition using artificial neural network
TN Nguyen, HH Huynh, J Meunier - Journal of Image and Graphics, 2013 - joig.net
Computers are widely used in all fields. However, the interaction between human and
machine is done mainly through the traditional input devices like mouse, keyboard etc. To …
machine is done mainly through the traditional input devices like mouse, keyboard etc. To …
[PDF][PDF] A brief overview of hand gestures used in wearable human computer interfaces
TB Moeslund, L Nørgaard - Computer Vision and Media …, 2003 - researchgate.net
This technical report provides a brief overview of how human hand gestures can be used in
wearable Human Computer Interfaces (HCI). This report is divided into two parts, one …
wearable Human Computer Interfaces (HCI). This report is divided into two parts, one …
Geometry-based static hand gesture recognition using support vector machine
Static hand gesture recognition plays an important role in developing a system for human-
computer interaction. Besides, such systems can be also used by the deaf community in …
computer interaction. Besides, such systems can be also used by the deaf community in …
[PDF][PDF] Visionbased hand gesture recognition for human computer interaction: A review
Evolution of user interfaces shapes the change in the humancomputer interaction. With the
rapid emergence of threedimensional (3 D) applications; the need for a new type of …
rapid emergence of threedimensional (3 D) applications; the need for a new type of …
STARS: Sign tracking and recognition system using input–output HMMs
STARS is a vision based real time gestural interface that allows both communicative and
manipulative 3D hand gestures, which vary in motion and appearance, to control target …
manipulative 3D hand gestures, which vary in motion and appearance, to control target …