Automatic Human Action Analysis for Human Robot Interaction

• Item type: SIG Technical Reports(1)
• 公開日: 2007-09-03
• タイトル: Automatic Human Action Analysis for Human Robot Interaction
• タイトル / 言語: en
• タイトル: Automatic Human Action Analysis for Human Robot Interaction
• 言語: eng
• 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: Department of Computer Science and Engineering Korea University
• 著者所属(英): en
• 著者所属(英): Department of Computer Science and Engineering, Korea University
• 著者名: Seong-WhanLee
• 著者名(英): Seong-Whan, Lee
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: As recent interests in robotics move to intelligent robot and humanoid human-robot interaction (HRI) technologies have become more essential and important. In case of the human being they interact by recognizing various cues such as hand sign face gesture speech and so on. HRI can be accomplished by mimicking this way. Automatic recognition of human action which uses whole body action is required for HRI to communicate naturally and comfortably. This presents challenging problems because detecting and tracking 3D human body components and describing and modeling human action patterns from the body motion is a complex task. A human subject is firstly described by a set of features encoding the angular relations between a dozen body parts. Then the extracted features are analyzed by HMM. For verifying the proposed method we make several experiments using Korea University Gesture Database and apply technologies to interesting applications for HRI. The results and demonstration show that the proposed method can be effective in HRI for automatic recognition of human action from motion sequences.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: As recent interests in robotics move to intelligent robot and humanoid, human-robot interaction (HRI) technologies have become more essential and important. In case of the human being, they interact by recognizing various cues such as hand sign, face, gesture, speech, and so on. HRI can be accomplished by mimicking this way. Automatic recognition of human action which uses whole body action is required for HRI to communicate naturally and comfortably. This presents challenging problems, because detecting and tracking 3D human body components, and describing and modeling human action patterns from the body motion is a complex task. A human subject is firstly described by a set of features encoding the angular relations between a dozen body parts. Then, the extracted features are analyzed by HMM. For verifying the proposed method, we make several experiments using Korea University Gesture Database and apply technologies to interesting applications for HRI. The results and demonstration show that the proposed method can be effective in HRI, for automatic recognition of human action from motion sequences.
• 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: AA11131797
• 書誌情報: 情報処理学会研究報告コンピュータビジョンとイメージメディア（CVIM）; 巻 2007, 号 87(2007-CVIM-160), p. 119-126, 発行日 2007-09-03
• 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