Design of a Low-false-positive Gesture for a Wearable Device

Design of a Low-false-positive Gesture for a Wearable Device
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可穿戴设备的低误报手势设计

DOI：
10.5220/0005701905810588
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发表时间：
2016
期刊：
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影响因子：
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通讯作者：
R. Taniguchi
R. Taniguchi
中科院分区：
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文献类型：
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作者：
Ryoichiro Kawahata;Atsushi Shimada;Takayoshi Yamashita;Hideaki Uchiyama;R. Taniguchi

文献摘要

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随着智能手表在社会上的应用越来越广泛，手势识别作为智能手表的一个重要方面 与智能手表的互动吸引了人们的注意。集成在设备中的加速度计是 通常用于识别手势。然而，当类似的动作模式时，手势经常被错误地检测到 发生在日常生活中。在本文中，我们提出了一种新的方法来设计一种新的手势来减少错误 侦测。我们将这种手势称为低假阳性(LFP)手势。建议的方法使 一个手势设计系统，自动建议LFP运动手势。该系统的用户可以设计 与以前的工作相比，LFP手势更容易、更快。我们的方法结合了 用于创建LFP手势的原始手势。原始手势的组合很快就能被识别 并通过使用我们的方法的随机森林算法来准确地进行。我们通过实验证明了 该方法对具有较高识别率且无误识别的手势具有较高的识别性能 侦测。
As smartwatches are becoming more widely used in society, gesture recognition, as an important aspect of interaction with smartwatches, is attracting attention. An accelerometer that is incorporated in a device is often used to recognize gestures. However, a gesture is often detected falsely when a similar pattern of action occurs in daily life. In this paper, we present a novel method of designing a new gesture that reduces false detection. We refer to such a gesture as a low-false-positive (LFP) gesture. The proposed method enables a gesture design system to suggest LFP motion gestures automatically. The user of the system can design LFP gestures more easily and quickly than what has been possible in previous work. Our method combines primitive gestures to create an LFP gesture. The combination of primitive gestures is recognized quickly and accurately by a random forest algorithm using our method. We experimentally demonstrate the good recognition performance of our method for a designed gesture with a high recognition rate and without false detection.