Design of learning media for fish classification with augmented reality technology

Autor: Adnan Fauzi, Kurniawan Teguh Martono
Rok vydání: 2017
Předmět:
Zdroj: 2017 4th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE).
DOI: 10.1109/icitacee.2017.8257716
Popis: The learning process is currently experiencing significant changes, various methods are used to make learning more interesting. The development of computer technology also affects changes in the learning process. The use of multimedia technology, the improvement of the interaction system between human and computer becomes one of the factors in the change of learning process. The use of multimedia technologies such as animation, video or by using slide shows can affect students or students in the learning process Augmented reality is one of the technologies that can be developed in the design of learning media. In this research, the learning media design process using augmented reality technology is used. Learning topics taken are the introduction of fish species. The system design method used is to use waterfall. The result of this research is the application of Augmented reality-based learning media has been successfully implemented by using ARToolkit library. The minimum distance for 3D object can be displayed is at 10 Cm and the minimum angle is 300 to 900 and to see 3D objects. The result of rotation the marker successfully displays every part of the 3D object.
Databáze: OpenAIRE