MI-Poser

IF 3.6 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Riku Arakawa, Bing Zhou, Gurunandan Krishnan, Mayank Goel, Shree K. Nayar
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引用次数: 0

Abstract

Inside-out tracking of human body poses using wearable sensors holds significant potential for AR/VR applications, such as remote communication through 3D avatars with expressive body language. Current inside-out systems often rely on vision-based methods utilizing handheld controllers or incorporating densely distributed body-worn IMU sensors. The former limits hands-free and occlusion-robust interactions, while the latter is plagued by inadequate accuracy and jittering. We introduce a novel body tracking system, MI-Poser, which employs AR glasses and two wrist-worn electromagnetic field (EMF) sensors to achieve high-fidelity upper-body pose estimation while mitigating metal interference. Our lightweight system demonstrates a minimal error (6.6 cm mean joint position error) with real-world data collected from 10 participants. It remains robust against various upper-body movements and operates efficiently at 60 Hz. Furthermore, by incorporating an IMU sensor co-located with the EMF sensor, MI-Poser presents solutions to counteract the effects of metal interference, which inherently disrupts the EMF signal during tracking. Our evaluation effectively showcases the successful detection and correction of interference using our EMF-IMU fusion approach across environments with diverse metal profiles. Ultimately, MI-Poser offers a practical pose tracking system, particularly suited for body-centric AR applications.
MI-Poser
使用可穿戴传感器对人体姿势进行由内到外的跟踪,在AR/VR应用中具有巨大的潜力,例如通过具有表达肢体语言的3D化身进行远程通信。目前由内而外的系统通常依赖于基于视觉的方法,利用手持控制器或结合密集分布的身体穿戴式IMU传感器。前者限制了免提和遮挡健壮的交互,而后者则受到精度不足和抖动的困扰。我们介绍了一种新颖的身体跟踪系统MI-Poser,它使用AR眼镜和两个手腕佩戴的电磁场(EMF)传感器来实现高保真的上半身姿势估计,同时减少金属干扰。我们的轻量级系统显示了最小的误差(6.6厘米的平均关节位置误差),从10名参与者收集的真实世界数据。它对各种上半身运动保持稳健,并在60赫兹下有效运行。此外,通过将IMU传感器与EMF传感器结合在一起,MI-Poser提供了抵消金属干扰影响的解决方案,金属干扰在跟踪过程中固有地破坏了EMF信号。我们的评估有效地展示了使用我们的EMF-IMU融合方法在不同金属轮廓的环境中成功检测和纠正干扰。最终,MI-Poser提供了一个实用的姿势跟踪系统,特别适合于以身体为中心的AR应用。
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来源期刊
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Computer Science-Computer Networks and Communications
CiteScore
9.10
自引率
0.00%
发文量
154
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