Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, Ljubljana 1000, Slovenia.
Sensors (Basel). 2014 Feb 21;14(2):3702-20. doi: 10.3390/s140203702.
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.
我们展示了借助专业、高精度、快速运动跟踪系统评估 Leap Motion 控制器性能的结果。进行了一系列具有不同跟踪物体数量和配置的静态和动态测量。对于静态测量,使用了模拟人臂的塑料臂模型。选择了一组 37 个参考位置来覆盖控制器的感应空间。对于动态测量,创建了一个特殊的 V 形工具,由两个保持它们之间恒定距离的跟踪物体组成,以模拟两个人类手指。在静态场景中,标准偏差小于 0.5 毫米。线性相关显示,当远离控制器时,标准偏差显著增加。动态场景的结果显示出控制器性能不一致,从控制器表面上方超过 250 毫米处采集的样本准确性显著下降。Leap Motion 控制器无疑是一种用于基于手势的人机交互的革命性输入设备;然而,由于其相当有限的感应空间和不一致的采样频率,在当前配置下,它目前不能用作专业的跟踪系统。