MagDot

IF 3.6 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Pub Date : 2024-01-12 DOI:10.1145/3631423
Dongyao Chen, Qing Luo, Xiaomeng Chen, Xinbing Wang, Chenghui Zhou
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Abstract

Tracking the angular movement of body joints has been a critical enabler for various applications, such as virtual and augmented reality, sports monitoring, and medical rehabilitation. Despite the strong demand for accurate joint tracking, existing techniques, such as cameras, IMUs, and flex sensors, suffer from major limitations that include occlusion, cumulative error, and high cost. These issues collectively undermine the practicality of joint tracking. We introduce MagDot, a new magnetic-based joint tracking method that enables high-accuracy, drift-free, and wearable joint angle tracking. To overcome the limitations of existing techniques, MagDot employs a novel tracking scheme that compensates for various real-world impacts, achieving high tracking accuracy. We tested MagDot on eight participants with a professional motion capture system, i.e., Qualisys motion capture system with nine Arqus A12 cameras. The results indicate MagDot can accurately track major body joints. For example, MagDot can achieve tracking accuracy of 2.72°, 4.14°, and 4.61° for elbow, knee, and shoulder, respectively. With a power consumption of only 98 mW, MagDot can support one-day usage with a small battery pack.
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磁点
跟踪身体关节的角度运动一直是虚拟现实和增强现实、运动监测和医疗康复等各种应用的关键推动因素。尽管对精确关节跟踪有着强烈的需求,但现有技术(如摄像头、IMU 和柔性传感器)存在着很大的局限性,包括遮挡、累积误差和高成本。这些问题共同削弱了关节跟踪的实用性。我们介绍的 MagDot 是一种基于磁性的新型关节跟踪方法,可实现高精度、无漂移和可穿戴的关节角度跟踪。为了克服现有技术的局限性,MagDot 采用了一种新颖的跟踪方案,可以补偿现实世界中的各种影响,从而实现高跟踪精度。我们使用专业的动作捕捉系统,即配备九个 Arqus A12 摄像头的 Qualisys 动作捕捉系统,对八名参与者进行了 MagDot 测试。结果表明,MagDot 可以准确跟踪身体的主要关节。例如,MagDot 对肘关节、膝关节和肩关节的跟踪精度分别为 2.72°、4.14° 和 4.61°。MagDot 的功耗仅为 98 mW,使用小型电池组即可支持一天的使用。
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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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