Open Lab Nursing Activity Recognition Challenge

• Item type: SIG Technical Reports(1)
• 公開日: 2019-05-30
• タイトル: Open Lab Nursing Activity Recognition Challenge
• タイトル / 言語: en
• タイトル: Open Lab Nursing Activity Recognition Challenge
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: 行動認識
• 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: Kyushu Institute of Technology
• 著者所属: Kyushu Institute of Technology
• 著者所属: Kyushu Institute of Technology
• 著者所属: Kyushu Institute of Technology
• 著者所属: Kyushu Institute of Technology
• 著者所属: Kyushu Institute of Technology／Riken AIP
• 著者所属(英): en
• 著者所属(英): Kyushu Institute of Technology
• 著者所属(英): en
• 著者所属(英): Kyushu Institute of Technology
• 著者所属(英): en
• 著者所属(英): Kyushu Institute of Technology
• 著者所属(英): en
• 著者所属(英): Kyushu Institute of Technology
• 著者所属(英): en
• 著者所属(英): Kyushu Institute of Technology
• 著者所属(英): en
• 著者所属(英): Kyushu Institute of Technology / Riken AIP
• 著者名: Paula, Lago; Shingo, Takeda; Alia, Sayeda Shamma; Tittaya, Mairittha; Nattaya, Mairittha; Sozo, Inoue
• 著者名(英): Paula, Lago; Shingo, Takeda; Alia, Sayeda Shamma; Tittaya, Mairittha; Nattaya, Mairittha; Sozo, Inoue
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Although activity recognition has been studied for a long time now, research and applications have been mainly focused on physical activity recognition. Even if many application domains require the recognition of more complex activities, for example daily living activities or work-related activities, research on such activities has attracted less attention. One reason for the gap in research for complex activities is the lack of datasets to evaluate and compare different methods. To promote research in such scenarios, we will organize the Open Lab Nursing Activity Recognition Challenge focusing on the recognition of complex activities related to the nursing domain. Nursing domain is one of the domains that can benefit enormously from activity recognition but has not been researched due to lack of datasets. The competition will use the Open Lab Nursing Activities Dataset, featuring 7 activities performed by 8 subjects in a controlled environment with accelerometer sensors, motion capture and in-door location sensor. The dataset was collected at the Smart Life Care Society Creation Unit in Kyutech, Japan, based on the collaboration between Kyutech and Carecom. Co., Ltd. In this paper, we describe the data collection experiments and the dataset.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Although activity recognition has been studied for a long time now, research and applications have been mainly focused on physical activity recognition. Even if many application domains require the recognition of more complex activities, for example daily living activities or work-related activities, research on such activities has attracted less attention. One reason for the gap in research for complex activities is the lack of datasets to evaluate and compare different methods. To promote research in such scenarios, we will organize the Open Lab Nursing Activity Recognition Challenge focusing on the recognition of complex activities related to the nursing domain. Nursing domain is one of the domains that can benefit enormously from activity recognition but has not been researched due to lack of datasets. The competition will use the Open Lab Nursing Activities Dataset, featuring 7 activities performed by 8 subjects in a controlled environment with accelerometer sensors, motion capture and in-door location sensor. The dataset was collected at the Smart Life Care Society Creation Unit in Kyutech, Japan, based on the collaboration between Kyutech and Carecom. Co., Ltd. In this paper, we describe the data collection experiments and the dataset.
• 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 2019-UBI-62, 号 12, p. 1-6, 発行日 2019-05-30
• 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