Smoothed Graphic User Interaction on Smartphones with Motion Prediction

• Main Authors: Chang, Yi-Fan, 張翊帆
• Other Authors: Lin, Ying-Dar
• Format: Others
• Language: en_US
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/10598630743839154447

碩士 === 國立交通大學 === 資訊學院資訊學程 === 102 === The smoothness of human-smartphone interaction directly influences users experience and affects their purchase decisions. A commonly used method to improve user interaction of smartphones is to optimize the CPU scheduler. However, it requires a modification of operating system. In addition, the improvement of the smoothness of human-smartphone interaction may be limited because the display subsystem is not optimized. Therefore, in this work, we design motion prediction queuing system (MPQS) to improve the smoothness of human-smartphone interaction. For this, we use the information of vector, speed, movement, provided by the queuing mechanism of Android, to predict the movement of user-smartphone interaction. Based on the prediction, we enlarge the available execution time between frames and let former insufficient graphics processing time to use. We conducted several set of experiments on beagleboard-xM to evaluate the performance of MPQS. Our experiment results show that the proposed method can reduce the number of jank by up to 21.75%.