Journal of Information Processing
Online ISSN : 1882-6652
ISSN-L : 1882-6652
 
Fast Screen Orientation Adjustment Based on SVM Rotation Inference on Android Smartphones
Koga ToriumiTakeshi KamiyamaMasato OguchiSaneyasu Yamaguchi
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JOURNAL FREE ACCESS

2024 Volume 32 Pages 543-551

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Abstract

Smartphones can be used in portrait or landscape mode, and their operating systems detect the device orientation and automatically adjust the screen view orientation. However, the adjustment policy is pessimistic, and the delay between device rotation and screen view rotation is large. We believe that this delay may degrade the user experience. In this paper, we propose a method to predict device rotation in the near future based on acceleration using a support vector machine, and to quickly adjust the screen view orientation based on the prediction results. We then show that the method can predict device rotation with high or non-low accuracy (with low false positive and false negative probabilities) and that the method can adjust the screen view orientation with a short delay time through our experimental results on three to six subjects using a smartphone with the Android operating system installed with the proposed method.

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© 2024 by the Information Processing Society of Japan
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