一种用于表面手势输入的能量收集可穿戴环平台

Jeremy Gummeson, B. Priyantha, Jie Liu
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引用次数: 61

摘要

本文提出了一种远程手势输入解决方案,用于与移动和可穿戴设备上的用户界面进行间接交互。提出的解决方案使用佩戴在用户食指上的可穿戴环平台。该环检测并解释在任何可用表面上执行的各种手势,并将手势无线传输到远程设备。这款戒指可以从支持nfc的手机中获取能量,无需明确充电即可永久使用。我们使用一个基于手指肌腱压力的解决方案来检测触摸,以及一个轻量级的基于音频的解决方案来检测手指在表面上的运动。两级节能分类算法识别23种独特的手势,包括敲击、滑动、滚动和笔划,用于手写文本输入。分类算法的平均准确率为73%,无需明确的用户训练。我们的实现支持在2 Hz手势频率的表面上进行10小时的交互。原型是用现成的组件建造的,尺寸类似于一个大环。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An energy harvesting wearable ring platform for gestureinput on surfaces
This paper presents a remote gesture input solution for interacting indirectly with user interfaces on mobile and wearable devices. The proposed solution uses a wearable ring platform worn on users index finger. The ring detects and interprets various gestures performed on any available surface, and wirelessly transmits the gestures to the remote device. The ring opportunistically harvests energy from an NFC-enabled phone for perpetual operation without explicit charging. We use a finger-tendon pressure-based solution to detect touch, and a light-weight audio based solution for detecting finger motion on a surface. The two level energy efficient classification algorithms identify 23 unique gestures that include tapping, swipes, scrolling, and strokes for hand written text entry. The classification algorithms have an average accuracy of 73% with no explicit user training. Our implementation supports 10 hours of interactions on a surface at 2 Hz gesture frequency. The prototype was built with off-the-shelf components has a size similar to a large ring.
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