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Three-dimensional direction recognition using FSR sensors

机译:使用FSR传感器的三维方向识别

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Attaching a serial of small tactile sensors to an existing robotic system is relatively easy compared to integrating most other tactile arrays designs. This paper proposes a method to recognize human intended direction in three-dimensional space using a spherical handlebar equipped with tactile sensors. Some Classical classification algorithms were used to classify the direction of the force. As the differences in human users would affect the classification accuracy of this system, there were two human users involved in this research to verify the robustness of system. Experimental results shows that the SVM algorithm can achieve 97.2% and 97.6% recognition accuracy if the experimental data is from the two users respectively. The method could still achieve 96.8% recognition accuracy when the experimental data from the two users together.
机译:与整合大多数其他触觉阵列设计相比,将串行小触觉传感器连接到现有的机器人系统中相对容易。本文提出了一种使用配备有触觉传感器的球形车把识别三维空间中的人预期方向的方法。一些经典分类算法用于分类力的方向。由于人类用户的差异会影响该系统的分类准确性,因此有两位人类用户参与该研究以验证系统的稳健性。实验结果表明,如果实验数据分别来自两个用户,SVM算法可以实现97.2 %和97.6 %识别准确性。当两个用户在一起的实验数据时,该方法仍然可以实现96.8 %识别准确性。

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