Image Processing of Hand Gesture for Augmented Reality Systems

DOI

10.2991/aisr.k.200424.096How to use a DOI?

Keywords

hand gesture, COG, augmented reality

Abstract

Advances in HCI technology have an effect on user interaction with AR system. The hands are the limbs that are often used for interaction. In this research make hand detection system for Human Computer Interaction (HCI) on system between user and object. In this study focused on image processing for hand shape and AR object response analysis to detectable hand form. The method used is convex-hull and center of gravity (COG). This method produces the Euclidean finger value which is a feature of the finger shape. Tests conducted in this study are 2 forms of hands that work to zoom + and zoom - to zoom in and out the AR object. The results obtained from testing Euclidean values appear in accordance with the number of fingers detected. Hand detection is influenced by light and distance disturbance, so calibration of segmentation is required. While the 3D object response to the form of zoom + and zoom - reaches 95%.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Sri Desy SISWANTI
AU  - Robbyansyah ASMIR
PY  - 2020
DA  - 2020/05/06
TI  - Image Processing of Hand Gesture for Augmented Reality Systems
BT  - Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)
PB  - Atlantis Press
SP  - 640
EP  - 644
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.200424.096
DO  - 10.2991/aisr.k.200424.096
ID  - SISWANTI2020
ER  -