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 …
Two dimensional convolutional neural network approach for real-time bangla sign language characters recognition and translation
This paper presents a convolutional neural network (CNN) architecture to recognize Bangla
Sign Language (BdSL) characters. The proposed CNN architecture also translates the …
Sign Language (BdSL) characters. The proposed CNN architecture also translates the …
Optimal video processing and soft computing algorithms for human hand gesture recognition from real-time video
An essential component of building an automated hand gesture detection system is the
ability to extract hand movements using a single video camera. Results for hand extraction …
ability to extract hand movements using a single video camera. Results for hand extraction …
Recent methods in vision-based hand gesture recognition
H Badi - International Journal of Data Science and Analytics, 2016 - Springer
The goal of static hand gesture recognition is to classify the given hand gesture data
represented by some features into some predefined finite number of gesture classes. The …
represented by some features into some predefined finite number of gesture classes. The …
A review on techniques and applications of object tracking and gesture recognition
Detecting different items in a picture with the aid of computers using any of the numerous
detection techniques is referred to as object detection in computer vision. A thorough …
detection techniques is referred to as object detection in computer vision. A thorough …
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 …
Gesture feature extraction for static gesture recognition
HS Hasan, SBA Kareem - Arabian Journal for Science and Engineering, 2013 - Springer
The goal of static hand gesture recognition is to classify the given hand gesture data
represented by some features into some predefined finite number of gesture classes. This …
represented by some features into some predefined finite number of gesture classes. This …
[PDF][PDF] Feature extraction technique for static hand gesture recognition
H Badi, SA Kareem, S Husein - Chaudhary A. Recent Trends …, 2015 - sciencegatepub.com
20 H. Badi et al. used to describe the hand gesture and treat the rotation problem in addition
to the scaling and translation. The back-propagation learning algorithm is employed in the …
to the scaling and translation. The back-propagation learning algorithm is employed in the …
UGI: A multi-dimensional ultrasonic-based interaction approach
We are currently witnessing an era where interaction with computers is no longer limited to
conventional methods (ie keyboard and mouse). Human Computer Interaction (HCI) as a …
conventional methods (ie keyboard and mouse). Human Computer Interaction (HCI) as a …
[图书][B] Static hand gesture recognition using artificial neural network
HS Hasan - 2014 - search.proquest.com
The goal of static hand gesture recognition is to classify the given hand gesture data
represented by some features into some predefined finite number of gesture classes. The …
represented by some features into some predefined finite number of gesture classes. The …