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b10-1. 雑誌掲載論文 >
このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/12162
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| タイトル: | Architecture for organizing context-aware data in smart home for activity recognition system |
| 著者: | Wongpatikaseree, Konlakorn
Kim, Junsoo
Makino, Yoshiki
Lim, Azman Osman
Tan, Yasuo |
| キーワード: | human activity
context-aware activity recognition engine
ontology based activity recognition |
| 発行日: | 2013 |
| 出版者: | Springer |
| 誌名: | Lecture Notes in Computer Science |
| 巻: | 8028 |
| 開始ページ: | 173 |
| 終了ページ: | 182 |
| DOI: | 10.1007/978-3-642-39351-8_20 |
| 抄録: | Knowing human activity in each day is relevant information in several purposes. However, existing activity recognition systems have limitation to identify the human activity because they cannot get the appropriate information for recognition. To address this limitation, we present three relevant components in Context-aware Activity Recognition Engine (CARE) architecture for organizing context-aware information in home. First, we introduce Context Sensor Network (CSN). The CSN provides the raw environment information from the diversity of sensors. Second, data manager component is proposed to process the pre-processing in the raw data from the CSN. The data must be normalized and transformed in order to make the system more efficient. The last component is system repository that composes of three essential tasks for controlling the information in the system. In this paper, the ontology based activity recognition (OBAR) system is used to evaluate the data from proposed components. The high accuracy of results can refer to the well organization of proposed components. |
| Rights: | This is the author-created version of Springer, Konlakorn Wongpatikaseree, Junsoo Kim, Yoshiki Makino, Azman Osman Lim, and Yasuo Tan, Lecture Notes in Computer Science, 8028, 2013, 173-182. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/978-3-642-39351-8_20 |
| URI: | http://hdl.handle.net/10119/12162 |
| 資料タイプ: | author |
| 出現コレクション: | b10-1. 雑誌掲載論文 (Journal Articles)
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このアイテムのファイル:
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記述 |
サイズ | 形式 |
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| 19820.pdf | | 1331Kb | Adobe PDF | 見る/開く |
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