轻弹打字:迈向基于3D手势和机器学习的新XR文本输入系统

Tian Yang, Powen Yao, Michael Zyda
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引用次数: 0

摘要

我们在扩展现实中提出了一种新的文本输入方法,我们称之为轻击输入。轻弹键入利用了用户对QWERTY键盘布局的了解,但没有明确地提供键的可视化,并且与用户的姿势或键盘位置无关。要使用轻弹打字,用户将移动他们的控制器到他们认为目标键的位置,相对于控制器的起始位置和方向,通常是简单地轻弹他们的手腕。机器学习模型被训练并用于适应用户在3D空间中的键的心理地图。
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Flick Typing: Toward A New XR Text Input System Based on 3D Gestures and Machine Learning
We propose a new text entry input method in Extended Reality that we call Flick Typing. Flick Typing utilizes the user's knowledge of a QWERTY keyboard layout, but does not explicitly provide visualization of the keys, and is agnostic to user posture or keyboard position. To type with Flick Typing, users will move their controller to where they think the target key is with respect to the controller's starting position and orientation, often with a simple flick of their wrists. Machine learning model is trained and used to adapt to the user's mental map of the keys in 3D space.
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