WCSE

The Smoothing Filter for Mobile Augmented Reality Using the Moving Average

Abstract— This research presents the use of moving average to calculate the smooth data for mobile augmented reality on web application with HTML5. The advantage of HTML5 is that the users can access the application immediately without installation application required. The process of implementation mobile augmented reality are access the mobile camera, getting GPS data and handling orientation data. The user’s viewpoint is calculated in the handling orientation data from the sensor. It is based on the web browser and the sensor, the data in general is not free from noise and jitter. The moving average is used to smooth the time series data in the short-term fluctuations. The research use simple moving average and exponential moving average to estimate the smooth data. In the maximum different adjacent data at 5, the root mean square error of simple moving average and exponential moving average are 4.63 and 4.14, respectively. The result shows that exponential moving average is better than simple moving average.

Index Terms— augmented reality, HTML5, moving average.

Piyapong Dangkham
Information and Communication Engineering, Faculty of Industrial Technology, Thepsatri Rajabhat University, THAILAND

[Download]

Cite: Piyapong Dangkham, "The Smoothing Filter for Mobile Augmented Reality Using the Moving Average," Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, pp. 497-501, Bangkok, 28-30 June, 2018.