State Recognition of Remote Classrooms Using Fuzzy Classifiers : Toward Ubiquitous Classrooms (人工知能と知識処理)

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概要

• 論文の詳細を見る

• 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.

• 一般社団法人電子情報通信学会の論文
• 2011-11-14

著者

• Yardley Maxwell

  Eastern Washington University

• Inoue Atsushi

  Eastern Washington University

• Schlittenhart Isaac

  Eastern Washington University

関連論文

• State Recognition of Remote Classrooms Using Fuzzy Classifiers : Toward Ubiquitous Classrooms (人工知能と知識処理)
• State Recognition of Remote Classrooms Using Fuzzy Classifiers : Toward Ubiquitous Classrooms

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