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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 6, ISSUE 3, MARCH 2017

Hand Gesture Recognition of Robot using Neural Network

D. S. Gaikwad, Yashika N. Mahajan

DOI: 10.17148/IJARCCE.2017.63110

Abstract: Now a day�s most of the industries demand for robots. The challenge in human robot interaction is that they don�t feel real or natural. Growing interest towards gesture recognition of robots and challenges faced, this paper present different methodologies used for hand gesture recognition of robots. Each methodology in sequence improves the recognition rate (RR).These methodologies are listed as follows-Artificial Neural Network (ANN), Bio sleeves, Multilayer Neural Network and Bicubic Interpolation, Gesture Segmentation. Gestures are classified into Static Gestures (SG) and Dynamic Gestures (DG).



Keywords: Homan Robot Interaction, Methodologies, Recognition Rate.

How to Cite:

[1] D. S. Gaikwad, Yashika N. Mahajan, “Hand Gesture Recognition of Robot using Neural Network,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.63110