CyclopsRing: Enabling Whole-Hand and Context-Aware Interactions Through a Fisheye Ring

Liwei Chan, Yi-Ling Chen, Chi-Hao Hsieh, Rong-Hao Liang, Bing-Yu Chen
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引用次数: 134

Abstract

This paper presents CyclopsRing, a ring-style fisheye imaging wearable device that can be worn on hand webbings to en- able whole-hand and context-aware interactions. Observing from a central position of the hand through a fisheye perspective, CyclopsRing sees not only the operating hand, but also the environmental contexts that involve with the hand-based interactions. Since CyclopsRing is a finger-worn device, it also allows users to fully preserve skin feedback of the hands. This paper demonstrates a proof-of-concept device, reports the performance in hand-gesture recognition using random decision forest (RDF) method, and, upon the gesture recognizer, presents a set of interaction techniques including on-finger pinch-and-slide input, in-air pinch-and-motion input, palm-writing input, and their interactions with the environ- mental contexts. The experiment obtained an 84.75% recognition rate of hand gesture input from a database of seven hand gestures collected from 15 participants. To our knowledge, CyclopsRing is the first ring-wearable device that supports whole-hand and context-aware interactions.
CyclopsRing:通过鱼眼环实现全手和上下文感知交互
本文介绍了CyclopsRing,一种环形鱼眼成像可穿戴设备,可以戴在手蹼上,以实现全手和上下文感知交互。CyclopsRing通过鱼眼视角从手的中心位置观察,不仅可以看到操作的手,还可以看到与手交互有关的环境背景。由于CyclopsRing是指戴式设备,它还允许用户充分保护手部皮肤的反馈。本文演示了一种概念验证装置,报告了使用随机决策森林(RDF)方法进行手势识别的性能,并在手势识别器上提出了一套交互技术,包括手指捏滑输入、空中捏动输入、手掌书写输入以及它们与环境上下文的交互。实验从15个参与者的7个手势数据库中获得了84.75%的手势识别率。据我们所知,CyclopsRing是第一个支持全手和环境感知交互的可穿戴设备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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