An Interactive Application to Assist Biology Learning using Augmented-reality


Wenxi Li1, Marisabel Chang2 and Yu Sun2, 1USA, 2California State Polytechnic University, USA


As students learn biology in term of molecule, cells, or proteins, cross section of 2D image is a traditional method study the details of them. However, this method cannot bridge the gap between reality and students’ imagination based on 2D image. This paper proposes a tool which can assist students to learn biology knowledge more effectively through augmented-reality. The experiments on accuracy and performance of the image pattern recognition indicates that FAST algorithm is the best choice currently. It reaches the highest accuracy of 94.5%.


Augment reality, Vuforia, Blender, Unity

Full Text  Volume 10, Number 15