Erratum:A Study of a Supporting System for Reviewing Trial Lessons Using Image Processing Technologies

  • Konishi Takuya
    Graduate School of Business Administration and Computer Science, Aichi Institute of Technology
  • Sawano Hiroaki
    Faculty of Information Science, Aichi Institute of Technology
  • Sakamoto Masanobu
    Center for General Education, Aichi Institute of Technology
  • Chujo Naoya
    Faculty of Information Science, Aichi Institute of Technology
  • Suzuki Yuri
    College of Engineering, Chubu University
  • Tsuchiya Takeshi
    Faculty of Business Administration and Information, Tokyo University of Science, Suwa
  • Koyanagi Keiichi
    The Graduate School of Information, Production and Systems, Waseda University

Bibliographic Information

Other Title
  • 訂正:画像処理技術を用いた模擬授業の振り返り支援システムの提案
  • 画像処理技術を用いた模擬授業の振り返り支援システムの提案
  • ガゾウ ショリ ギジュツ オ モチイタ モギ ジュギョウ ノ フリカエリ シエン システム ノ テイアン

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Description

We propose a review supporting system of trial lessons with image processing techniques. Candidates of a high/junior schoolteacher practice in the trial lesson. A subjective evaluation from the other candidates is used as a feedback of the lesson. However, the quality of the feedback result depends on the skill and experience of the evaluators. Review using a recorded video of the lesson can improve the skill of the candidate, however this method requires a long time. Therefore, we focus on an objective evaluation from a recorded video, in which the behavior is visualized in static images. The system provides the three processes, visualization of teacher movement, extraction of writing on blackboard, and blind spot alert. Our implemental approach is to calculate an optical flow indicating human movement, and to draw segment for visualization. An exclusive OR between previous and target frames is calculated for detecting a region of writing. The blind spot by the candidate is estimated with the human position and the region of the writing, and an alert is provided as visual information in the timing. The accuracy of the alert timing are about 80% of the precision and recall with the author visual judgment. In addition, some positive comments are obtained in a questionnaire result, and the availability is indicated in this paper.

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