Wearable technologies for hand joints monitoring for rehabilitation: A survey

A Rashid, O Hasan - Microelectronics Journal, 2019 - Elsevier
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 …

Indian sign language recognition using eigen value weighted euclidean distance based classification technique

J Singha, K Das - arXiv preprint arXiv:1303.0634, 2013 - arxiv.org
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 …

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 …

[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 …

Real time hand gesture recognition system for android devices

H Lahiani, M Elleuch… - 2015 15th International …, 2015 - ieeexplore.ieee.org
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 …

Hand gesture recognition based on Karhunen-Loeve transform

J Singha, K Das - arXiv preprint arXiv:1306.2599, 2013 - arxiv.org
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 …

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 …

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] …

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 …

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 …