most citedTracking of Fingertips and Centres of Palm using KINECT

33 citations · 111 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV201333 cited

Tracking of Fingertips and Centres of Palm using KINECT

J. L. Raheja, A. Chaudhary, K Singal

Hand Gesture is a popular way to interact or control machines and it has been implemented in many applications. The geometry of hand is such that it is hard to construct in virtual…

cs.CV201317 cited

A Health Monitoring System for Elder and Sick Persons

Ankit Chaudhary, Jagdish L. Raheja

This paper discusses a vision based health monitoring system which would be very easy in use and deployment. Elder and sick people who are not able to talk or walk they are depende…

cs.HC201329 cited

Intelligent Approaches to interact with Machines using Hand Gesture Recognition in Natural way: A Survey

Ankit Chaudhary, J. L. Raheja, Karen Das +1

Hand gestures recognition (HGR) is one of the main areas of research for the engineers, scientists and bioinformatics. HGR is the natural way of Human Machine interaction and today…

cs.CV201227 cited

Fingertip Detection: A Fast Method with Natural Hand

J. L. Raheja, Karen Das, Ankit Chaudhary

Many vision based applications have used fingertips to track or manipulate gestures in their applications. Gesture identification is a natural way to pass the signals to the machin…

cs.CR20125 cited

A Hash based Approach for Secure Keyless Steganography in Lossless RGB Images

Ankit Chaudhary, J. Vasavada, J. L. Raheja +2

This paper proposes an improved steganography approach for hiding text messages in lossless RGB images. The objective of this work is to increase the security level and to improve…