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对跳动控制器的准确性和稳定性的比较分析 2 2

Daniel Matuszczyk¹, Mikel Jedrusiak¹, Denis Fisseler¹

¹Department of Computer Science VII, Technical University Dortmund, 44227 Dortmund, Germany.

Sensors (Basel, Switzerland)

|December 31, 2025

概括

与LMC1相比,Leap Motion Controller 2 (LMC2) 显著提高了手部跟踪精度和范围,增强了虚拟/增强现实 (VR/AR) 和人机交互 (HMI) 应用.

科学领域:

人与计算机的交互
机器人技术机器人技术机器人技术
虚拟现实和增强现实

背景情况:

虚拟/增强现实 (VR/AR) 和人机交互 (HMI) 的进步需要改进的手跟踪设备.
跳动控制器2 (LMC2) 是LMC1的继承者,自2013年以来广泛用于科学应用.

研究的目的:

量化比较LMC2与LMC1.1的性能.
描述LMC2的交互空间和跟踪能力.
评估十多年来手部追踪技术的进步.

主要方法:

使用机器人驱动的3D打印手来控制运动.
采用运动捕捉系统用于外部参考数据.
进行了定量跟踪指标分析和边界实验.

主要成果:

LMC2将手掌位置的误差从7.9-9.8毫米 (LMC1) 减少到5.2-5.3毫米.
在LMC2下,位置变化从1.3-2.2mm (LMC1) 降至0.4-0.8mm.
LMC2将连续检测范围扩展到666毫米 (而不是LMC1的250-275毫米),入口检测到646毫米.

结论:

与LMC1相比,LMC2表现出优越的性能和扩展的追踪范围.
结果为VR/AR和HMI应用提供了LMC2的基础性特征.
这些指标有助于与LMC1研究进行交叉比较和应用转移.

关键词:

人机交互的人机交互跳跃运动控制器跳跃运动控制器测量过程中的测量.

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