Positioning Algorithm based on Augmented Reality for Mobile Training

The widespread use of smart devices on one hand, as well as the rise of computational and technical capabilities, including motion sensors, global positioning and powerful cameras, have made the location-based services more popular. One of the most utilizable of these services is location-based training services, which has become a hot topic in the field of mobile training in recent years. Since mobile learning can be done at anytime and anywhere, there are many benefits to incorporate real-world objects into educational content. Obviously, the augmented reality technology is very useful and functional. On the other hand, the issue of positioning is to be done correctly and accurately so that spatial and educational information is not accompanied by errors and mistakes. The purpose of this research is to provide an algorithm for positioning in space-based, field-based learning based on augmented reality. In this regard, the library method analyzes some of the existing positioning systems and their challenges and benefits, and is presented with an algorithmic approach to identify the user's position in the outer space during mobile learning.