利用电容图像估计刷式被动触控笔角度

Proceedings of the Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction Pub Date : 2023-02-26 DOI:10.1145/3569009.3573112

Takumi Suzuki, Hiroyuki Manabe

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引用次数: 0

摘要

与个人电脑相比，智能手机的输入词汇量有限。本文提出了一种利用电容图像估计无源电刷笔尖角度的方法。这项技术允许我们扩展输入词汇，而不会使智能手机或触控笔复杂化。实验结果表明，俯仰估计误差为6.63°，横摇估计误差为5.97°。通过实例验证了该技术的可行性。

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Estimation of Brush Type Passive Stylus Angles Using Capacitive Image

Smartphones have limited input vocabularies compared with PCs. In this paper, we propose a method for estimating the stylus angle of a passive brush from capacitive images. The technique allows us to expand the input vocabulary without complicating the smartphone or the stylus. We conducted experiments that showed the estimation error (MAE) was 6.63° for pitch and 5.97° for roll. Two applications were implemented to show the feasibility of the technique.

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Proceedings of the Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction

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