Fast Screen Orientation Adjustment Based on SVM Rotation Inference on Android Smartphones

• Item type: Trans(1)
• 公開日: 2024-05-24
• タイトル: Fast Screen Orientation Adjustment Based on SVM Rotation Inference on Android Smartphones
• タイトル / 言語: en
• タイトル: Fast Screen Orientation Adjustment Based on SVM Rotation Inference on Android Smartphones
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [研究論文] Android, smartphone, accelerometer, acceleration, SVM, support vector machine, ML, machine learning, screen view orientation
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Kogakuin University
• 著者所属: Nagasaki University
• 著者所属: Ochanomizu University
• 著者所属: Kogakuin University
• 著者所属(英): en
• 著者所属(英): Kogakuin University
• 著者所属(英): en
• 著者所属(英): Nagasaki University
• 著者所属(英): en
• 著者所属(英): Ochanomizu University
• 著者所属(英): en
• 著者所属(英): Kogakuin University
• 著者名: Koga, Toriumi; Takeshi, Kamiyama; Masato, Oguchi; Saneyasu, Yamaguchi
• 著者名(英): Koga, Toriumi; Takeshi, Kamiyama; Masato, Oguchi; Saneyasu, Yamaguchi
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: 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.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.32(2024) (online); ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: 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.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.32(2024) (online); ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA12628043
• 書誌情報: 情報処理学会論文誌コンシューマ・デバイス＆システム（CDS）; 巻 14, 号 2, 発行日 2024-05-24
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2186-5728
• 出版者 / 言語: ja
• 出版者: 情報処理学会