DocumentCode :
2160228
Title :
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
Link To Document :
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