{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00234377","sets":["934:6391:11490:11614"]},"path":["11614"],"owner":"44499","recid":"234377","title":["Fast Screen Orientation Adjustment Based on SVM Rotation Inference on Android Smartphones "],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-05-24"},"_buckets":{"deposit":"c3132684-4254-4935-9207-6291c5d410e9"},"_deposit":{"id":"234377","pid":{"type":"depid","value":"234377","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Fast Screen Orientation Adjustment Based on SVM Rotation Inference on Android Smartphones ","author_link":["638518","638522","638525","638521","638519","638523","638520","638524"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Fast Screen Orientation Adjustment Based on SVM Rotation Inference on Android Smartphones "},{"subitem_title":"Fast Screen Orientation Adjustment Based on SVM Rotation Inference on Android Smartphones ","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[研究論文] Android, smartphone, accelerometer, acceleration, SVM, support vector machine, ML, machine learning, screen view orientation","subitem_subject_scheme":"Other"}]},"item_type_id":"3","publish_date":"2024-05-24","item_3_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Kogakuin University"},{"subitem_text_value":"Nagasaki University"},{"subitem_text_value":"Ochanomizu University"},{"subitem_text_value":"Kogakuin University"}]},"item_3_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Kogakuin University","subitem_text_language":"en"},{"subitem_text_value":"Nagasaki University","subitem_text_language":"en"},{"subitem_text_value":"Ochanomizu University","subitem_text_language":"en"},{"subitem_text_value":"Kogakuin University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/234377/files/IPSJ-TCDS1402006.pdf","label":"IPSJ-TCDS1402006.pdf"},"date":[{"dateType":"Available","dateValue":"2026-05-24"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-TCDS1402006.pdf","filesize":[{"value":"677.3 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"47"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"c875641e-bd12-4683-9354-2e860f180ccb","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_3_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Koga, Toriumi"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takeshi, Kamiyama"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masato, Oguchi"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Saneyasu, Yamaguchi"}],"nameIdentifiers":[{}]}]},"item_3_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Koga, Toriumi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takeshi, Kamiyama","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masato, Oguchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Saneyasu, Yamaguchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_3_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12628043","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_3_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2186-5728","subitem_source_identifier_type":"ISSN"}]},"item_3_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"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.\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.32(2024) (online)\n------------------------------","subitem_description_type":"Other"}]},"item_3_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"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.\n------------------------------\nThis is a preprint of an article intended for publication Journal of\nInformation Processing(JIP). This preprint should not be cited. This\narticle should be cited as: Journal of Information Processing Vol.32(2024) (online)\n------------------------------","subitem_description_type":"Other"}]},"item_3_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌コンシューマ・デバイス＆システム（CDS）"}],"bibliographicIssueDates":{"bibliographicIssueDate":"2024-05-24","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"14"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":234377,"updated":"2025-01-19T09:48:40.922597+00:00","links":{},"created":"2025-01-19T01:36:10.137301+00:00"}