doi: 10.18178/ijiet.2022.12.6.1644
Application of Augmented Intelligence Technology with Human Body Tracking for Human Anatomy Education
Evianita Dewi Fajrianti1
,
Sritrusta Sukaridhoto1,* ,
M. Udin Harun Al Rasyid1 ,
Bambang Edi Suwito2 ,
Rizqi Putri Nourma Budiarti2 ,
Ilham Achmad Al Hafidz1 ,
Naufal Adi Satrio1 ,
Amma Liesvarastranta Haz3
- 1Politeknik Elektronika Negeri Surabaya, Indonesia
- 2Universitas Nahdlatul Ulama Surabaya, Indonesia
- 3Institut Teknologi Sepuluh Nopember, Indonesia
Abstract
Technological developments have a positive impact on humans to improve their abilities in line with innovations in the field of education which are increasing day by day. One of them is by increasing intelligence through collaboration between humans and technology called augmented intelligence. In this study augmented intelligence is applied to assist humans in studying human anatomy by utilizing augmented reality technology to perform motion tracking that can control 3D assets to follow it. The anatomy learning platform that was built was named AIVE (Artificial Intelligence on Virtual Education) with an architectural system consisting of a frontend for interface needs and AR platform development, there is also a backend for streaming databases and AI algorithms. Measurement of satisfaction and interest based on the PIECES framework is also carried out to determine the user’s response to the platform being built. The results show a satisfaction level of 4.12 and an interest of 4.10 which means that users are satisfied and interested in the human anatomy tracking platform that is accessed via smartphones.
Keywords
- Human anatomy
- augmented intelligence
- human motion
How to Cite
Evianita Dewi Fajrianti, Sritrusta Sukaridhoto, M. Udin Harun Al Rasyid, Bambang Edi Suwito, Rizqi Putri Nourma Budiarti, Ilham Achmad Al Hafidz, Naufal Adi Satrio, and Amma Liesvarastranta Haz, "Application of Augmented Intelligence Technology with Human Body Tracking for Human Anatomy Education," International Journal of Information and Education Technology, vol. 12, no. 6, pp. 476-484, 2022. https://doi.org/10.18178/ijiet.2022.12.6.1644
Copyright & License
Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).