Frequency-Division Multiplexed Wearable Wireless Sensor Network for Real-Time Motion Tracking using Magnetic Induction.

IF 4.9
Michella Rustom, Alireza Farhadian, Garrett Knuf, Mahta Moghaddam, Constantine Sideris
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引用次数: 0

Abstract

A new scheme is proposed for real-time multi-joint motion tracking using an on-body sensor network based on frequency-division multiplexed (FDM) magnetic induction (MI). The system employs wearable wireless sensor nodes that extract spatial information from measured node-to-node magnetic coupling. Unlike camera- or accelerometer-based motion-tracking approaches, the MI-based method does not require line of sight and does not accumulate errors due to sensor drift. A custom MI transceiver chip, fabricated in a standard bulk Complementary Metal Oxide Semiconductor (CMOS) process, drives a wearable coil and simultaneously measures tones transmitted by other nodes in full-duplex operation. The chip integrates a fully custom digital signal processor for real-time data analysis and supports a configurable capture rate of up to 977 frames per second. The system is experimentally validated using a 3D printed two-joint leg model and on-body demonstrations, and benchmarked against an open-source camera-based human pose estimation pipeline, demonstrating fully wireless, real-time MI-based motion tracking.

基于磁感应的实时运动跟踪的频分多路可穿戴无线传感器网络。
提出了一种基于频分复用(FDM)磁感应(MI)的体上传感器网络实时多关节运动跟踪方案。该系统采用可穿戴无线传感器节点,从测量的节点到节点的磁耦合中提取空间信息。与基于相机或加速度计的运动跟踪方法不同,基于mi的方法不需要视线,也不会因传感器漂移而累积误差。一个定制的MI收发器芯片,在标准的大块互补金属氧化物半导体(CMOS)工艺中制造,驱动可穿戴线圈,同时测量其他节点在全双工操作下传输的音调。该芯片集成了一个完全定制的数字信号处理器,用于实时数据分析,并支持高达每秒977帧的可配置捕获率。该系统使用3D打印的双关节腿模型和身体演示进行了实验验证,并与基于开源摄像头的人体姿势估计管道进行了基准测试,展示了完全无线的、实时的基于mi的运动跟踪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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