Trajectory-based recognition of dynamic Persian sign language using hidden Markov model
Abstract Sign Language Recognition (SLR) is an important step in facilitating the
communication among deaf people and the rest of society. Existing Persian sign language …
communication among deaf people and the rest of society. Existing Persian sign language …
Hand gesture recognition for human-robot interaction for service robot
RC Luo, YC Wu - … on Multisensor Fusion and Integration for …, 2012 - ieeexplore.ieee.org
With advances in technology, robots play an important role in our lives. Nowadays, we have
more chance to see robots service in our society such as intelligent robot for rescue and for …
more chance to see robots service in our society such as intelligent robot for rescue and for …
Hand sign recognition from depth images with multi-scale density features for deaf mute persons
Among many of the fastest growing research fields, sign language recognition is one of the
top. Deaf and dumb community uses sign language to express their ideas or views. Sign …
top. Deaf and dumb community uses sign language to express their ideas or views. Sign …
Hand number gesture recognition using recognized hand parts in depth images
In this paper, we present a novel approach of recognizing hand number gestures using the
recognized hand parts in a depth image. Our proposed approach is divided into two …
recognized hand parts in a depth image. Our proposed approach is divided into two …
COHST and wavelet features based static ASL numbers recognition
A Thalange, SK Dixit - Procedia Computer Science, 2016 - Elsevier
Bridging communication gap between the deaf and dumb people with the common man is a
big challenge. A sign language recognition system could provide an opportunity for the deaf …
big challenge. A sign language recognition system could provide an opportunity for the deaf …
Depth-based hand gesture recognition
CH Wu, WL Chen, CH Lin - Multimedia Tools and Applications, 2016 - Springer
In this article, a dynamic gesture recognition system with the depth information is proposed.
The proposed system consists of three main components: preprocessing, static posture …
The proposed system consists of three main components: preprocessing, static posture …
A comprehensive study on feature extraction and classification techniques for sign language recognition
Sign language is the single means by using which the deaf community can interact with
individuals living across the world. However, a small population of normal people can …
individuals living across the world. However, a small population of normal people can …
[PDF][PDF] Review on feature extraction methods of image based sign language recognition system
Sign language is the way of communication among the Deaf-Dumb people by performing
hand gestures. This paper is present review on Sign language Recognition approaches that …
hand gestures. This paper is present review on Sign language Recognition approaches that …
[PDF][PDF] Static gesture recognition combining graph and appearance features
M Avraam - International Journal of Advanced Research in Artificial …, 2014 - Citeseer
In this paper we propose the combination of graph-based characteristics and appearance-
based descriptors such as detected edges for modeling static gestures. Initially we convolve …
based descriptors such as detected edges for modeling static gestures. Initially we convolve …
A multi-class hand gesture recognition in complex background using sequential minimal optimization
G Joshi, R Vig - 2015 International Conference on Signal …, 2015 - ieeexplore.ieee.org
This paper presents a novel approach for hand gesture recognition in complex background
images. The method is based on Histograms of Orientation Gradient (HOG) which in …
images. The method is based on Histograms of Orientation Gradient (HOG) which in …