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Real-Time Hand Position Sensing Technology Based on Human Body Electrostatics

机译:基于人体静电的实时手部位置传感技术

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摘要

Non-contact human-computer interactions (HCI) based on hand gestures have been widely investigated. Here, we present a novel method to locate the real-time position of the hand using the electrostatics of the human body. This method has many advantages, including a delay of less than one millisecond, low cost, and does not require a camera or wearable devices. A formula is first created to sense array signals with five spherical electrodes. Next, a solving algorithm for the real-time measured hand position is introduced and solving equations for three-dimensional coordinates of hand position are obtained. A non-contact real-time hand position sensing system was established to perform verification experiments, and the principle error of the algorithm and the systematic noise were also analyzed. The results show that this novel technology can determine the dynamic parameters of hand movements with good robustness to meet the requirements of complicated HCI.
机译:基于手势的非接触式人机交互(HCI)已得到广泛研究。在这里,我们提出一种新颖的方法来利用人体的静电来定位手的实时位置。该方法具有许多优点,包括小于一毫秒的延迟,低成本,并且不需要照相机或可穿戴设备。首先创建一个公式,以感测具有五个球形电极的阵列信号。接下来,介绍了用于实时测量手位置的求解算法,并获得了手位置的三维坐标的求解方程。建立了非接触式实时手部位置传感系统进行验证实验,并对算法的原理误差和系统噪声进行了分析。结果表明,该新技术可以较好地确定手部运动的动态参数,满足复杂人机交互的要求。

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