Hand gesture recognition for human-computer interaction

Mayur Yeshi , Pradeep Kale , Bhushan Yeshi , Vinod Sonawane

Gesture control, hand gesture, Human vehicle interaction, skin filtering

This paper focus on advance study of Gesture control based robot. The first part of the paper provides an overview of the current state of the art regarding the recognition of hand gestures as these are observed and recorded by typical video cameras. We derive a set of motion features based on smoothed optical flow estimates. A usercentric representation of these features is obtained using face detection, and an efficient classifier is learned to discriminate between gestures. A number of hand gesture recognition technologies and applications for Human Vehicle Interaction (HVI) are also discussed including a summary of current automotive hand gesture recognition research.

Published Paper   E-Certificate

"Hand gesture recognition for human-computer interaction", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 8, page no.9 - 14, August-2016, Available :https://ijsdr.org/papers/IJSDR1608002.pdf

Volume 1 Issue 8, August-2016

Pages : 9 - 14

Paper Reg. ID: IJSDR_160656

Published Paper Id: IJSDR1608002

Downloads: 000347234

Research Area: Engineering

Country: Pune, MAHARASHTRA, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1608002

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1608002

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition