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Immediately-available Input Method Using One-handed Motion in Arbitrary Postures

机译:在任意姿势下使用单手运动立即可用的输入法

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摘要

This paper presents an input method, which enables the user to immediately interact with services using one-handed motion in arbitrary postures. This method is mainly targeted at workers who work with dirty hands or hold tools in their hands. To allow the workers to control applications as intended without handheld devices while they operate their hand work in various postures, we propose intentional segmentation, motion trajectory estimation of the wrist, and three types of inputs using wrist motions. The segmentation controller enables users to intentionally distinguish input motion from normal hand work by the wrist state without limiting the range of upper limb motion and immediately start performing the input motion. We estimate the motion trajectories of the wrist in the input segment using inertial sensors attached to the wrist, and recognize gestures from the trajectories without training data sets. The users can control various applications by three types of inputs: continuous inputs linked to the wrist motions, discrete inputs by gestures, and specific inputs generated from these. We also developed a wristwatch-like wearable device to evaluate the effectiveness of the proposed method. Through the two experimental evaluations, we showed the ease of learning the proposed method and achieved a mean recognition rate of 94.3% in various postures for six defined gestures.
机译:本文提出了一种输入方法,该方法使用户能够使用任意姿势的单手动作立即与服务交互。此方法主要针对使用肮脏的手或手中拿着工具的工人。为了允许工人在不使用手持设备的情况下以各种姿势操作他们的应用程序时,他们可以进行有意的分割,手腕的运动轨迹估计以及使用手腕运动的三种类型的输入,从而使他们能够按需控制应用程序。分割控制器使用户能够通过手腕状态有意识地将输入运动与正常的手法区分开,而不会限制上肢运动的范围,并立即开始执行输入运动。我们使用连接到手腕的惯性传感器估算输入段中手腕的运动轨迹,并在不训练数据集的情况下从轨迹识别手势。用户可以通过三种类型的输入来控制各种应用程序:链接到腕部运动的连续输入,手势的离散输入以及由此产生的特定输入。我们还开发了一种类似手表的可穿戴设备,以评估该方法的有效性。通过两次实验评估,我们显示了学习该方法的简便性,并且在六个定义的手势的各种姿势下均达到了94.3%的平均识别率。

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