講演名 | 2011-11-21 State Recognition of Remote Classrooms Using Fuzzy Classifiers : Toward Ubiquitous Classrooms , |
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抄録(英) | Our ultimate goal is to establish technologies and guidelines so that remote classrooms are arranged ubiquitously. Sample arrangement may include: traditional schooling, teleconference calls, from a remote classroom, etc. While each arrangement has been reasonably well supported, there is hardly any technology that enables a good interface to instructors by seemlessly integrating all of above arrangements. We are developing a robust and intelligent autopilot in order to recognize states of students in a remote classroom that can be integrated in any of such cases. Such an autopilot is capable of informing instructors whether students in remote classrooms need attentions without imposing device operations. This autopilot utilizes fuzzy classifiers as a state recognizer (in a sense of Automata) in order to recognize various states of students in a remote classroom. In this paper, we report our progress, e.g. modeling, experiments and a system development - simple but robust. |
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資料番号 | AI2011-17 |
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研究会 | AI |
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開催期間 | 2011/11/14(から1日開催) |
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申込み研究会 | Artificial Intelligence and Knowledge-Based Processing (AI) |
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本文の言語 | ENG |
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タイトル(英) | State Recognition of Remote Classrooms Using Fuzzy Classifiers : Toward Ubiquitous Classrooms |
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第 1 著者 氏名(和/英) | / Atsushi Inoue |
第 1 著者 所属(和/英) | Eastern Washington University |
発表年月日 | 2011-11-21 |
資料番号 | AI2011-17 |
巻番号(vol) | vol.111 |
号番号(no) | 310 |
ページ範囲 | pp.- |
ページ数 | 5 |
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