Gesture Based Human Robot Interaction System Using Raspberry Pi

Authors(5) :-Dhanya .K .M, Naghashree .M, Navyashree .G .S, Poonam Deshpande, Basvanna .M

Even after more than decades of input devices development, many people still find the interaction with the computers and robots an uncomfortable experience. Efforts should be made to adapt computers and robots to our natural means of communication: speech and body language. The aim of our project is to implement a real time command system through hand gesture recognition, using general purpose hardware and low costing sensor like a simple Raspberry-pie and an USB webcam, so any user can make use of it in industries or at home. The basis of our approach is a fast segmentation process to obtain the hand gesture from the whole image which is able to deal with large number of hand shapes against different backgrounds and lightening conditions, and a recognition process that identifies the hand posture for different control application.

Authors and Affiliations

Dhanya .K .M
Students, Department of EIE, GSSSIETW, Mysore, Karnataka, India
Naghashree .M
Students, Department of EIE, GSSSIETW, Mysore, Karnataka, India
Navyashree .G .S
Students, Department of EIE, GSSSIETW, Mysore, Karnataka, India
Poonam Deshpande
Students, Department of EIE, GSSSIETW, Mysore, Karnataka, India
Basvanna .M
Assistant Professor, Department of EIE, GSSSIETW, Mysore, Karnataka, India

Raspberry-Pie, DC motors, Arduino

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Publication Details

Published in : Volume 4 | Issue 6 | May-June 2018
Date of Publication : 2018-05-08
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 744-747
Manuscript Number : CSEIT1846142
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dhanya .K .M, Naghashree .M, Navyashree .G .S, Poonam Deshpande, Basvanna .M, "Gesture Based Human Robot Interaction System Using Raspberry Pi", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.744-747, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT1846142

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