腕式设备的屏幕尺寸和手势尺寸解耦

Michael D. Jones, Kevin Seppi, Jared Forsyth, Zann Anderson
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引用次数: 0

摘要

手腕式设备屏幕上的触摸手势受到屏幕尺寸的限制。将手势大小与屏幕大小脱钩,可以在较小的设备上使用较大的手势。在手腕上佩戴的设备上,其他将屏幕大小与手势大小分离的方法只支持一小部分手势。我们通过使用光流传感器来解耦屏幕大小和手势大小。用户通过在光流传感器上移动手指来生成手势。手势可以通过一个直径为3毫米的小圆窗来检测。这个窗口“点”可以嵌入在手腕上的小型设备中。在EdgeWrite字母表上训练的随机森林在使用光流传感器生成的27个手势上达到了93%的准确率。我们讨论了这种系统的动机,并使用原型证明了其可行性,注意到需要额外的工程工作来生产基于小型光流传感器封装的小型腕戴设备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decoupling Screen Size and Gesture Size for Wrist Worn Devices
Touch gestures on the screen of a wrist worn device are constrained by the size of the screen. Decoupling the gesture size from the screen size allows for larger gestures on smaller devices. Other approaches to decoupling screen size from gesture size on wrist worn devices support only a small set of gestures. We decouple screen size from gesture size by using an optical flow sensor. The user generates gestures by moving a finger over the optical flow sensor. Gestures can feasibly be detected through a small round window with a diameter of 3 mm. This window “dot” could be embedded in small wrist worn devices. A random forest trained on the EdgeWrite alphabet achieved 93% accuracy on 27 gestures generated using the optical flow sensor. We discuss the motivation for such a system and prove its feasibility using a prototype, noting that additional engineering work is needed to produce a small wrist-worn device based on a small optical flow sensor package.
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