Accuracy of a force sensitive digital tablet in determining the position of force application

Ming Meng, Y. Ge, Zhongcheng Wu, Ping Fang, Fei Shen
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引用次数: 3

Abstract

In this paper, the accuracy in determining the position of force application with a novel force sensitive digital tablet is evaluated and improved. A loading system consisting of a strip-shaped board with a stylus and a plate with grid is used to apply a point load on the tablet. In static experiments, the stylus is placed on 49 equidistant locations respectively, and calibrated masses are used to exert vertical force from 0.25 N to 5 N. Dynamic experiments are also performed by means of drawing on the loading board. Experimental results show that the systematic error is nonlinearly dependent on the actual position of force application, and almost independent of the magnitude of exerted force vector. Dynamic experimental results also suggest that this tablet can determine the position as accurately in dynamic conditions as in static conditions. According to the observed error distribution, the measured positions are corrected using artificial neural network (ANN). The encouraging results of the correction indicate that the proposed correction procedure can provide significant improvement in the performance of the tablet in determining the position of force application.
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力敏数字平板在确定施加力的位置时的精度
本文对一种新型力敏数字平板确定施力位置的精度进行了评价和改进。由带触笔的条形板和带网格的板组成的加载系统用于在平板上施加点载荷。在静态实验中,将触控笔分别放置在49个等距位置,用标定质量施加0.25 N至5 N的垂直力,并在加载板上绘图进行动态实验。实验结果表明,系统误差与实际施力位置呈非线性关系,几乎与施力矢量的大小无关。动态实验结果也表明,该片剂在动态和静态条件下都能准确地确定位置。根据观测到的误差分布,利用人工神经网络(ANN)对测量位置进行校正。校正的令人鼓舞的结果表明,所提出的校正程序可以显著改善片剂在确定施力位置方面的性能。
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