アクティブサウンドセンシングを用いた屋内日常物のイベント検知に関する検討

• Item type: SIG Technical Reports(1)
• 公開日: 2018-02-19
• タイトル: アクティブサウンドセンシングを用いた屋内日常物のイベント検知に関する検討
• タイトル / 言語: en
• タイトル: Preliminary investigation of indoor event detection using active sound probing
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: 屋内環境認識
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: 大阪大学大学院情報科学研究科
• 著者所属: 大阪大学大学院情報科学研究科
• 著者所属: 大阪大学大学院情報科学研究科
• 著者所属: 大阪大学大学院情報科学研究科
• 著者名: Thilina, Dissanayake; 前川, 卓也; 天方, 大地; 原, 隆浩
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Event detection of indoor objects such as doors has a variety of application including intruder detection, HVAC control, surveillance of independently living elderly persons. Therefore, numerous researches have been done on this topic by the UbiComp research community. In this research, we propose a method to accurately detect events in indoor everyday objects such as doors and windows without using distributed ubiquitous sensors. In our approach, we perform event recognition conjoining the Doppler shift that occurs by the moving indoor objects and the acoustic characteristics of the environment acquired by the impulse response. Analysis of the time series data of the Doppler shift, using directional high frequency sine wave to acquire information of the direction of the occurred event, using stereo microphones to record the reflected wave can be stated as the specialties in this research. Also, by incorporating the knowledge about the state transitions of an object in to a recognition model, we will try to increase the accuracy of our recognitions.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Event detection of indoor objects such as doors has a variety of application including intruder detection, HVAC control, surveillance of independently living elderly persons. Therefore, numerous researches have been done on this topic by the UbiComp research community. In this research, we propose a method to accurately detect events in indoor everyday objects such as doors and windows without using distributed ubiquitous sensors. In our approach, we perform event recognition conjoining the Doppler shift that occurs by the moving indoor objects and the acoustic characteristics of the environment acquired by the impulse response. Analysis of the time series data of the Doppler shift, using directional high frequency sine wave to acquire information of the direction of the occurred event, using stereo microphones to record the reflected wave can be stated as the specialties in this research. Also, by incorporating the knowledge about the state transitions of an object in to a recognition model, we will try to increase the accuracy of our recognitions.
• 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: AA11838947
• 書誌情報: 研究報告ユビキタスコンピューティングシステム（UBI）; 巻 2018-UBI-57, 号 18, p. 1-9, 発行日 2018-02-19
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2188-8698
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会