Human-robot communication through visual game and gesture learning

Author

Siddharth, S. ; Akash, A. ; Nandi, Gora Chand

Author_Institution

IIIT-A, Allahabad, India

fYear

2013

fDate

22-23 Feb. 2013

Firstpage

852

Lastpage

857

Abstract

Human Machine Interaction and Gesture Recognition is a very challenging field. Scientists and researchers are trying to make communications with machines as easy, smooth and reliable as possible. With the help of learning techniques we present a vision based simulation of CHALK, BLACKBOARD, DUSTER game in which Robot plays this game with human identifying the moves generated by him in the form of gestures and also learns new gestures. Also with presented approach we are able to perform forearm deletion. We have verified our work using Webots simulation platform.

Keywords

computer games; control engineering computing; gesture recognition; human-robot interaction; learning (artificial intelligence); robot vision; Blackboard game; Chalk game; Duster game; Webots simulation platform; forearm deletion; gesture learning; gesture recognition; human machine interaction; human-robot communication; vision based simulation; visual game; Artificial neural networks; Face; Feature extraction; Games; Image color analysis; Legged locomotion; Human; Webots simulation; forearm deletion; gesture; gesture addition; interaction; machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Advance Computing Conference (IACC), 2013 IEEE 3rd International

Conference_Location

Ghaziabad

Print_ISBN

978-1-4673-4527-9

Type

conf

DOI

10.1109/IAdCC.2013.6514338

Filename

6514338