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Fitrah Humaira
Politeknik Negeri Madura
Computer Science & IT Electrical & Electronics Engineering

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Real Time SIBI Sign Language Recognition Based on K-Nearest Neighbor Fitrah Humaira; Supria Supria; Darlis Herumurti; Kukuh Widarsono
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1000.885 KB) | DOI: 10.11591/eecsi.v5.1689

Abstract

Persons with disabilities also have the right to communicate with each other, both with normal people and people with other disabilities. People with disabilities will be difficult to communicate with other people. They use 'sign language' to communicate. That's why other normal people will be difficult to communicate with them. Because there are not many normal people that can understand the 'sign language'. System which can help to communicate with disabilities people are needed. In this paper, we proposed sign language recognition for Sistem Isyarat Bahasa Indonesia (SIBI) using leap motion based on K-Nearest Neighbor. Technology of leap motion controller will generate the existence of coordinate points on each bone in hand. As an input, we used the value of distance between the coordinates of each bone distal to the position of the palm, which were measured using Euclidean Distance. This feature of distance will be used for training and testing data on K-Nearest Neighbor method. The experiment result shows that the best accuracy is 0,78 and error 0,22 with proposed parameter of K = 5.
Co-Authors Darlis Herumurti Supria Supria Widarsono, Kukuh