arXiv:2409.01947cs.ROcs.HC2024-09被引 6

评估了HTC Vive追踪器在多种环境下的精度,证实其适合人体动作捕捉。

Evaluating the precision of the HTC VIVE Ultimate Tracker with robotic and human movements under varied environmental conditions

  • 用机械臂+光学追踪系统作为基准,测试不同光照、速度和环境干扰下的表现
  • 平均定位精度达4.98毫米(±4毫米),受光照、速度和距离校准中心影响大
  • 可替代传统动捕系统用于非VR场景,尤其适合运动员或日常动作采集

HTC VIVE Ultimate Tracker采用内建立体摄像头实现无需外部摄像头的6自由度内向外追踪,成本低且部署简便,最初专为游戏与VR设计。本文首次系统评估其在多种实验条件下的追踪精度。以机械臂作为高重复性运动源,使用OptiTrack系统作为参考,测试了光照变化、运动速度、场景中物体移动、人体遮挡以及相对于校准中心的距离变化等条件。结果表明,该追踪器在各类条件下平均精度为4.98毫米(±4毫米)。关键影响因素包括光照、运动速度及运动范围与校准中心的距离。实际应用中,使用5个追踪器在真实场景下采集人类动作,验证了其在低动态抓取任务和高水平动态击剑动作(由顶尖运动员完成)中的有效性。尽管精度低于传统固定摄像机动捕系统,且受多重因素影响,但其仍具备足够的准确性,适用于多种非VR环境下的动作捕捉应用。

原文摘要 · Abstract (English)

The HTC VIVE Ultimate Tracker, utilizing inside-out tracking with internal stereo cameras providing 6 DoF tracking without external cameras, offers a cost-efficient and straightforward setup for motion tracking. Initially designed for the gaming and VR industry, we explored its application beyond VR, providing source code for data capturing in both C++ and Python without requiring a VR headset. This study is the first to evaluate the tracker's precision across various experimental scenarios. To assess the robustness of the tracking precision, we employed a robotic arm as a precise and repeatable source of motion. Using the OptiTrack system as a reference, we conducted tests under varying experimental conditions: lighting, movement velocity, environmental changes caused by displacing objects in the scene, and human movement in front of the trackers, as well as varying the displacement size relative to the calibration center. On average, the HTC VIVE Ultimate Tracker achieved a precision of 4.98 mm +/- 4 mm across various conditions. The most critical factors affecting accuracy were lighting conditions, movement velocity, and range of motion relative to the calibration center. For practical evaluation, we captured human movements with 5 trackers in realistic motion capture scenarios. Our findings indicate sufficient precision for capturing human movements, validated through two tasks: a low-dynamic pick-and-place task and high-dynamic fencing movements performed by an elite athlete. Even though its precision is lower than that of conventional fixed-camera-based motion capture systems and its performance is influenced by several factors, the HTC VIVE Ultimate Tracker demonstrates adequate accuracy for a variety of motion tracking applications. Its ability to capture human or object movements outside of VR or MOCAP environments makes it particularly versatile.

动作捕捉追踪精度轻量化系统人体运动

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