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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/10119/10926
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| タイトル: | Range-based algorithm for posture classification and fall-down detection in smart homecare system |
| 著者: | Wongpatikaseree, Konlakorn
Lim, Azman Osman
Tan, Yasuo
Kanai, Hideaki |
| キーワード: | Human posture classification
Fall-down detection
Range-based algorithm
Smart homecare system |
| 発行日: | 2012-10 |
| 出版者: | Institute of Electrical and Electronics Engineers (IEEE) |
| 誌名: | 2012 IEEE 1st Global Conference on Consumer Electronics (GCCE) |
| 開始ページ: | 243 |
| 終了ページ: | 247 |
| DOI: | 10.1109/GCCE.2012.6379591 |
| 抄録: | Human posture classification is one of the most challenging issues in smart homecare system. To achieve high classification accuracy, we propose a new algorithm, called range-based algorithm. In this paper, a range means the distance between body parts. The ranges between body parts are investigated to classify the human posture and to detect a possible fall-down accident. Furthermore, we also proposed an adaptive posture window scheme to recognize the human posture in real-time even though human change the posture in different speed. The results reveal that our proposed can classify the human posture and detect fall-down with high accuracy and reliability. |
| Rights: | This is the author's version of the work. Copyright (C) 2012 IEEE. 2012 IEEE 1st Global Conference on Consumer Electronics (GCCE), 2012, 243-247. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| URI: | http://hdl.handle.net/10119/10926 |
| 資料タイプ: | author |
| 出現コレクション: | b11-1. 会議発表論文・発表資料 (Conference Papers)
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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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| 18768.pdf | | 850Kb | Adobe PDF | 見る/開く |
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