The Leap Motion controller (LMC) offers a low-cost means of markerless hand tracking, however, its utility is limited by a small field of view and reliance on appropriate sensor positioning. A recent update from Leap Motion has enabled the use of a multiple LMC device on a single computer, allowing the tracking of hands from multiple orientations, potentially overcoming the aforementioned limitations. This study describes a method of implementing a multi-LMC setup and evaluates its effect on the validity and reliability of the derived kinematics. This study implemented a Kabsch algorithm and Kalman filter to re-orientate and fuse the trajectories captured by three LMC at different orientations. Reliability was assessed by comparing between-day differences in maximum joint angles (ΔMJA) and a calculated coefficient of multiple correlations (CMC). Validity was assessed by comparing the LMC to the gold standard, a Vicon markered motion capture (MMC) system, and calculating the ΔMJA and applying the linear fit method. The proposed method was evaluated by comparing the reliability and validity of the single-LMC setups to the multi-LMC setup. A multi-LMC setup proved successful in improving the reliability and validity of kinematic data, most notably where reliability and validity were poor and variation was high between the single-LMC setups. Findings suggest that through implementing the proposed method, limitations associated with single-LMC setups, notably its reliance on optimal sensor positioning, can be overcome.

Leap Motion 控制器 (LMC) 提供了一种低成本的无标记手部跟踪方法，但是，其实用性受到小视野和对适当传感器定位的依赖的限制。Leap Motion 最近的更新使得在一台计算机上使用多个 LMC 设备成为可能，允许从多个方向跟踪手，可能会克服上述限制。本研究描述了一种实施多 LMC 设置的方法，并评估其对派生运动学的有效性和可靠性的影响。本研究实施了 Kabsch 算法和卡尔曼滤波器，以重新定位和融合三个 LMC 在不同方向捕获的轨迹。通过比较最大关节角度 (ΔMJA) 和计算出的多重相关系数 (CMC) 的日间差异来评估可靠性。通过将 LMC 与黄金标准、Vicon 标记运动捕捉 (MMC) 系统进行比较，并计算 ΔMJA 并应用线性拟合方法来评估有效性。通过比较单 LMC 设置与多 LMC 设置的可靠性和有效性来评估所提出的方法。事实证明，多 LMC 设置在提高运动学数据的可靠性和有效性方面是成功的，尤其是在可靠性和有效性较差且单 LMC 设置之间的差异很大的情况下。研究结果表明，通过实施所提出的方法，可以克服与单 LMC 设置相关的限制，特别是其对最佳传感器定位的依赖。通过比较单 LMC 设置与多 LMC 设置的可靠性和有效性来评估所提出的方法。事实证明，多 LMC 设置在提高运动学数据的可靠性和有效性方面是成功的，尤其是在可靠性和有效性较差且单 LMC 设置之间的差异很大的情况下。研究结果表明，通过实施所提出的方法，可以克服与单 LMC 设置相关的限制，特别是其对最佳传感器定位的依赖。通过比较单 LMC 设置与多 LMC 设置的可靠性和有效性来评估所提出的方法。事实证明，多 LMC 设置在提高运动学数据的可靠性和有效性方面是成功的，尤其是在可靠性和有效性较差且单 LMC 设置之间的差异很大的情况下。研究结果表明，通过实施所提出的方法，可以克服与单 LMC 设置相关的限制，特别是其对最佳传感器定位的依赖。