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An Inertial Measurement Framework for Gesture Recognition and Applications

机译:用于手势识别和应用的惯性测量框架

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摘要

We describe an inertial gesture recognition framework composed of three parts. The first is a compact, wireless six-axis inertial measurement unit to fully capture three-dimensional motion. The second, a gesture recognition algorithm, analyzes the data and categorizes it on an axis-by-axis basis as simple motions (straight line, twist, etc.) with magnitude and duration. The third allows an application designer to combine recognized gestures both concurrently and consecutively to create specific composite gestures can then be set to trigger output routines. This framework was created to enable application designers to use inertial sensors with a minimum of knowledge and effort. Sample implementations and future directions are discussed.
机译:我们描述了由三个部分组成的惯性手势识别框架。第一个是紧凑的无线六轴惯性测量单元,可以完全捕获三维运动。第二种是手势识别算法,它分析数据并将其按轴逐个轴分类为具有幅度和持续时间的简单运动(直线,扭曲等)。第三种允许应用程序设计人员同时并连续地组合识别的手势以创建特定的复合手势,然后可以将其设置为触发输出例程。创建该框架的目的是使应用程序设计人员能够以最少的知识和精力来使用惯性传感器。讨论了示例实现和未来方向。

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