Archery Skill Assessment Using an Acceleration Sensor

Takayuki Ogasawara*, Hanako Fukamachi, Kenryu Aoyagi, Shiro Kumano, Hiroyoshi Togo, Koichiro Oka


研究成果: Article査読

4 被引用数 (Scopus)


A key skill in archery is the ability to suppress postural tremor while aiming at a target. Providing feedback during daily archery practice is a potentially effective way of suppressing tremor. However, postural tremor is subtle and difficult to measure using vision-based techniques. This article proposes a feedback method that uses a bow equipped with a small, lightweight acceleration sensor. First, we automatically detect an archer's shooting execution cycle, including the aiming, release, and follow-through phases, by using binary classification, and then, we quantify postural tremor during aiming. Then, from the quantified postural tremor, we regress the expected total score that the archer would obtain in a series of shots during a real game. We performed an experiment with 11 members of a university archery club and achieved 1) a precision of 0.72 and recall of 0.80 in shooting detection and 2) an absolute correlation coefficient of 0.74 in score prediction with leave-one-subject-out cross-validation.

ジャーナルIEEE Transactions on Human-Machine Systems
出版ステータスPublished - 2021 6月

ASJC Scopus subject areas

  • 人的要因と人間工学
  • 制御およびシステム工学
  • 信号処理
  • 人間とコンピュータの相互作用
  • コンピュータ サイエンスの応用
  • コンピュータ ネットワークおよび通信
  • 人工知能


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