Wearable technologies for hand joints monitoring for rehabilitation: A survey
Hand deformities often become a major obstacle in conducting everyday tasks for many
people around the globe. Rehabilitation procedures are widely used for strengthening the …
people around the globe. Rehabilitation procedures are widely used for strengthening the …
Indian sign language recognition using eigen value weighted euclidean distance based classification technique
Sign Language Recognition is one of the most growing fields of research today. Many new
techniques have been developed recently in these fields. Here in this paper, we have …
techniques have been developed recently in these fields. Here in this paper, we have …
A comprehensive review on automation of Indian sign language
VK Verma, S Srivastava… - … international conference on …, 2015 - ieeexplore.ieee.org
Hearing impaired people uses signs to communicate with others. Just like verbally spoken
languages, there is no universal language as every country has its own spoken language so …
languages, there is no universal language as every country has its own spoken language so …
[PDF][PDF] Static hand gesture recognition for sign language alphabets using edge oriented histogram and multi class SVM
S Nagarajan, TS Subashini - International Journal of Computer …, 2013 - Citeseer
In recent years, enormous research is progressing in the field of Computer Vision and
Human Computer Interaction where hand gestures play a vital role. Hand gestures are more …
Human Computer Interaction where hand gestures play a vital role. Hand gestures are more …
Real time hand gesture recognition system for android devices
Hand gestures are natural and intuitive communication way for the human being to interact
with his environment. They serve to designate or manipulate objects, to enhance speech, or …
with his environment. They serve to designate or manipulate objects, to enhance speech, or …
Hand gesture recognition based on Karhunen-Loeve transform
In this paper, we have proposed a system based on KL Transform to recognize different
hand gestures. The system consists of five steps: skin filtering, palm cropping, edge …
hand gestures. The system consists of five steps: skin filtering, palm cropping, edge …
Trajectory modeling in gesture recognition using CyberGloves/sup/spl reg//and magnetic trackers
NYY Kevin, S Ranganath… - 2004 IEEE Region 10 …, 2004 - ieeexplore.ieee.org
The recognition of human gestures is important for several human-computer interaction
applications. In this paper, we develop a gesture recognition system that uses the …
applications. In this paper, we develop a gesture recognition system that uses the …
Two-handed hand gesture recognition for Bangla sign language using LDA and ANN
R Yasir, RA Khan - The 8th international conference on …, 2014 - ieeexplore.ieee.org
Sign language detection and recognition (SLDR) using computer vision is a very
challenging task. In respect to Bangladesh, sign language users are around 2.4 million [16] …
challenging task. In respect to Bangladesh, sign language users are around 2.4 million [16] …
Hand gesture modelling and recognition involving changing shapes and trajectories, using a predictive eigentracker
KS Patwardhan, SD Roy - Pattern Recognition Letters, 2007 - Elsevier
We present a novel eigenspace-based framework to model a dynamic hand gesture that
incorporates both hand shape as well as trajectory information. We address the problem of …
incorporates both hand shape as well as trajectory information. We address the problem of …
Kinect Sensor Based Single Person Hand Gesture Recognition for Man–Machine Interaction
B Ganguly, P Vishwakarma, S Biswas… - … in Communication Circuits …, 2020 - Springer
The advancement of cameras and sensors has made a skyline for man–machine interaction
(MMI). This paper aims to present an improved man–machine interaction by single person …
(MMI). This paper aims to present an improved man–machine interaction by single person …