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.

中文翻译：

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使用加速度传感器进行射箭技巧评估

射箭的一项关键技能是在瞄准目标时抑制姿势震颤的能力。在日常射箭练习中提供反馈是抑制震颤的潜在有效方法。然而，姿势性震颤是微妙的并且难以使用基于视觉的技术来测量。本文提出了一种反馈方法，该方法使用配备了小型轻量加速度传感器的船首。首先，我们使用二进制分类自动检测射手的射击执行周期，包括瞄准，释放和跟进阶段，然后量化瞄准过程中的姿势性震颤。然后，从量化的姿势性震颤中，我们得出弓箭手在真实游戏中一系列射击中获得的预期总得分。