ホールド難度と配置を考慮したボルダリング課題の自動難度推定

DOI

書誌事項

タイトル別名
  • Automatic Bouldering Grade Estimation based on Hold Difficulty and Arrangement

抄録

<p>Bouldering is a sport where competitors climb an artificial wall using holds as support. The climbing route from start to end is called a problem and each problem has its difficulty grade. As the grade of a problem plays an essential role in measuring climber’s ability, a unified standard is desirable. However, measuring the grade still currently relies on personal experience of the routesetters, which results in huge individual difference. The purpose of this study is to evaluate the grade of a bouldering problem in a uniformed manner. Specifically, we propose a two-step machine learning model that takes into account the difficulty and arrangement of each single hold. Experimental results using 11906 problems show that our model has achieved up to 65.5% of accuracy for classifying 13 classes of problem grades.</p>

収録刊行物

キーワード

詳細情報 詳細情報について

  • CRID
    1390857523690987264
  • DOI
    10.18974/tvrsj.27.4_331
  • ISSN
    24239593
    1344011X
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
  • 抄録ライセンスフラグ
    使用不可

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