IPTEK Journal of Proceedings Series
No 1 (2015): 1st International Seminar on Science and Technology (ISST) 2015

Kinect Depth Image Processing for Hand Motion Recognition using Backpropagation Neural Network

Syamsiar Kautsar (Institut Teknologi Sepuluh Nopember, Surabaya)
Purwadi A. Darwito (Institut Teknologi Sepuluh Nopember, Surabaya)
Sryang T. Sarena (Politeknik Elektronika Negeri, Surabaya)

Article Info

Publish Date
28 Jan 2016

Abstract

Kinect RGB-D Camera is a sensor for human gesture recognition. Kinect has built-in infrared array sensor which produces a depth image data. In this research, the depth image data is used to recognize human hand condition. The depth images of human right hand are processed by normalized central moment method. Furthermore, the moment value of hand depth image is used for backpropagation artificial neural network data training. A great training result is yielded by 70% accuracy. In addition, the output of neural netwok model is used to control a robot hand.

Copyrights © 2015




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Journal Info
IPTEK Journal of Proceedings Series
Website

Abbrev

jps

Publisher

Institut Teknologi Sepuluh Nopember Surabaya

Subject

Computer Science & IT

Description

IPTEK Journal of Proceedings Series publishes is a journal that contains research work presented in conferences organized by Institut Teknologi Sepuluh Nopember. ISSN: 2354-6026. The First publication in 2013 year from all of full paper in International Conference on Aplied Technology, Science, and ...