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

A network of wearable, wireless sensor nodes is proposed for 3D real-time motion tracking using frequency-division-multiplexed magnetic induction (MI) to extract spatial information based on measured node-to-node coupling. A custom MI transceiver chip is designed and fabricated in 180nm CMOS, which drives a wearable coil and measures tones transmitted by other nodes concurrently in full-duplex. Practical experiments are demonstrated on a 3D-printed double-joint leg model and a human subject, demonstrating fully wireless MI-based motion tracking for the first time.

Authors

Institutions

Publication Details

Published
2025-06-08
DOI
https://doi.org/10.23919/vlsitechnologyandcir65189.2025.11074912
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Mahta Moghaddam, Michella Rustom, Thanh Dat Nguyen, Constantine Sideris et al.
Robotics and Automated Systems
article

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

Mahta Moghaddam, Michella Rustom, Thanh Dat Nguyen, Constantine Sideris, Alireza Farhadian
article en

Abstract

A network of wearable, wireless sensor nodes is proposed for 3D real-time motion tracking using frequency-division-multiplexed magnetic induction (MI) to extract spatial information based on measured node-to-node coupling. A custom MI transceiver chip is designed and fabricated in 180nm CMOS, which drives a wearable coil and measures tones transmitted by other nodes concurrently in full-duplex. Practical experiments are demonstrated on a 3D-printed double-joint leg model and a human subject, demonstrating fully wireless MI-based motion tracking for the first time.

University of Southern California (US)
Affordable and clean energy
Openalex Percentile: Top 77%
Robotics and Automated Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Frequency-Division Multiplexed Magnetic Induction Based Wireless Wearable Sensor Network for Real-Time Motion Tracking — Mahta Moghaddam, Michella Rustom, et al. · (2025) | TGRS Research Map | TGRS