The Journal of the Society for Art and Science
Online ISSN : 1347-2267
ISSN-L : 1347-2267
Volume 16, Issue 5
Displaying 1-2 of 2 articles from this issue
Papers
  • Masaki Oshita, Aoi Honda, Maho Katsurada, Yuya Aosaki
    Article type: research-article
    2017Volume 16Issue 5 Pages 138-153
    Published: December 15, 2017
    Released on J-STAGE: May 01, 2023
    JOURNAL FREE ACCESS
    Supplementary material
    In this paper, we propose a motion interpolation method using parameters based on adjectives. We conducted a questionnaire experiment in which subjects were asked to evaluate 10 example walking motions using 41 pairs of adjectives. Based on the results, 27 pairs of adjectives that are effective for motion parameterization were selected and four primary parameters were determined by categorizing the adjectives. Our motion interpolation method allows the user to create various styles of motions using the four primary parameters and any combination of the additional 27 adjective pairs. We also conducted a questionnaire experiment on another motion set of 27 walking motions and obtained the same four primary parameters and 29 adjective pairs. These results show that our method and the four primary parameters can be generalized for walking motions. In addition, our approach was applied to motion features that are computed example motions without any questionnaire experiment and obtained the primary and additional motion feature parameters for motion interpolation. This realizes motion interpolation using parameters based on motion features. The user of our system can choose adjective or motion feature parameters to create a motion depending on the type of motion that he or she wants to create. We present the results of our experiments and demonstrate the advantages of our method.
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  • Daiki Takeshita, Hiroyuki Yamazaki, Keiichi Itoh, Kazuki Kanda, Shugo ...
    Article type: research-article
    2017Volume 16Issue 5 Pages 154-164
    Published: December 15, 2017
    Released on J-STAGE: May 01, 2023
    JOURNAL FREE ACCESS
    Image processing, proximity sensors, and touch panels have been used in research and products for recognizing chess piece positions. However, these suffer from insufficient recognition rates of chess piece positions for game records, poor operability from having to push chessboard squares with a piece, or restrictions from using dedicated pieces. In this research, we constructed a novel system using photoreflectors, with the objective of automatically producing game records. The proposed system is relatively inexpensive and compact, and accurately records games in a general playing environment. Also, any piece that reflects infrared rays can be used, and it is not necessary to push the squares of the chessboard with the pieces.
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