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An Analysis of the Precision and Reliability of the Leap Motion Sensor and Its Suitability for Static and Dynamic Tracking

机译:飞跃运动传感器的精度和可靠性及其在静态和动态跟踪中的适用性分析

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摘要

We present the results of an evaluation of the performance of the Leap Motion Controller with the aid of a professional, high-precision, fast motion tracking system. A set of static and dynamic measurements was performed with different numbers of tracking objects and configurations. For the static measurements, a plastic arm model simulating a human arm was used. A set of 37 reference locations was selected to cover the controller's sensory space. For the dynamic measurements, a special V-shaped tool, consisting of two tracking objects maintaining a constant distance between them, was created to simulate two human fingers. In the static scenario, the standard deviation was less than 0.5 mm. The linear correlation revealed a significant increase in the standard deviation when moving away from the controller. The results of the dynamic scenario revealed the inconsistent performance of the controller, with a significant drop in accuracy for samples taken more than 250 mm above the controller's surface. The Leap Motion Controller undoubtedly represents a revolutionary input device for gesture-based human-computer interaction; however, due to its rather limited sensory space and inconsistent sampling frequency, in its current configuration it cannot currently be used as a professional tracking system.
机译:我们借助专业,高精度,快速运动跟踪系统,介绍对Leap运动控制器性能的评估结果。使用不同数量的跟踪对象和配置执行了一组静态和动态测量。对于静态测量,使用了模拟人手臂的塑料手臂模型。选择了一组37个参考位置来覆盖控制器的感觉空间。对于动态测量,创建了一个特殊的V形工具,该工具由两个跟踪对象组成,它们之间保持恒定的距离,以模拟两个人的手指。在静态情况下,标准偏差小于0.5毫米。从控制器移开时,线性相关性显示标准偏差显着增加。动态场景的结果显示了控制器的性能不一致,对于在控制器表面上方250毫米以上采集的样本,准确性大大降低。毫无疑问,Leap Motion控制器代表了一种革命性的输入设备,可用于基于手势的人机交互。但是,由于其感觉空间相当有限且采样频率不一致,因此在其当前配置下,当前不能用作专业的跟踪系统。

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