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Multi-touch gesture recognition algorithm of vehicle electronic devices-based on Bezier curve optimization strategy

机译:基于贝塞尔曲线优化策略的车载电子设备多点触摸手势识别算法

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This paper addresses the problem of saving storage occupied with the current method of multi-touch gesture recognition. Based on the quadratic Bezier curve, an improved multi-touch gesture recognition method is presented. Firstly, the curve parameter equation can be obtained by using quadratic curve which is to fit gesture. Secondly, the property of quadratic Bezier curve is analyzed by utilizing the invariants of the quadratic curve. Then, in the light of the obtained equation, the core three points in the quadratic Bezier curve can be acquired. In this case, the improved recognition algorithm is designed. Finally, the effectiveness of the proposed algorithm is demonstrated by an experiment on vehicle electronic devices based on the Android system.
机译:本文提出了节省当前多点触摸手势识别方法所占用的存储空间的问题。基于二次贝塞尔曲线,提出了一种改进的多点触摸手势识别方法。首先,可以通过使用适合手势的二次曲线来获得曲线参数方程。其次,利用二次曲线的不变量来分析二次贝塞尔曲线的性质。然后,根据获得的方程式,可以得到二次贝塞尔曲线的核心三个点。在这种情况下,设计了改进的识别算法。最后,通过基于Android系统的车载电子设备的实验证明了该算法的有效性。

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