任何地方触摸打字:文本输入在任意表面使用深度感应

Adiyan Mujibiya, Takashi Miyaki, J. Rekimoto
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引用次数: 6

摘要

本文提出了一种在任意表面上使用深度感应的触控打字虚拟键盘系统。采用三维手形数据库匹配结合指尖表面触觉进行击键事件检测。我们的原型系统通过实现相移算法在任意平面上对数字光处理器(DLP)条纹投影获得手姿深度图。该系统不需要在虚拟键盘框架上对手的位置进行对齐,可以在感应表面上对手的姿态进行鲁棒检测。击键反馈是对表面的物理触摸,因此不需要佩戴特定的硬件。该系统以平均每秒20帧的速度实时工作。
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Anywhere touchtyping: text input on arbitrary surface using depth sensing
In this paper, touch typing enabled virtual keyboard system using depth sensing on arbitrary surface is proposed. Keystroke event detection is conducted using 3-dimensional hand appearance database matching combined with fingertip's surface touch sensing. Our prototype system acquired hand posture depth map by implementing phase shift algorithm for Digital Light Processor (DLP) fringe projection on arbitrary flat surface. The system robustly detects hand postures on the sensible surface with no requirement of hand position alignment on virtual keyboard frame. The keystroke feedback is the physical touch to the surface, thus no specific hardware must be worn. The system works real-time in average of 20 frames per second.
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Accessible Gesture Typing on Smartphones for People with Low Vision. Voice and Touch Based Error-tolerant Multimodal Text Editing and Correction for Smartphones. Modeling Touch Point Distribution with Rotational Dual Gaussian Model. UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology, Virtual Event, USA, October 10-14, 2021 UIST '21: The Adjunct Publication of the 34th Annual ACM Symposium on User Interface Software and Technology, Virtual Event, USA, October 10-14, 2021
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