Custom nfc system enables wire-free body sensor networks at fast rates
Protocol-Flexible Custom NFC for Wire-Free Wearable Sensor Networks
Networking and Internet Architecture
Summary
Wired sensors worn on the body can be uncomfortable and limit movement, while common wireless methods like Bluetooth often struggle to send signals through the body. The authors designed a special kind of near-field communication (NFC) system that works with sensors sewn into clothing and uses software to control how data is sent. Their system can collect movement data from multiple sensors quickly, even with some data loss. This approach could make wearing multiple sensors less intrusive and more reliable.
What this means in practice
- •For wearable device engineers: Build garment-scale sensor networks with flexible NFC communication that avoids Bluetooth’s body signal blockage issues.
- •For sports technology developers: Create body-worn sensor systems with continuous, high-rate motion data collection without wires or bulky radios.$Commercial implications: Enables lightweight, wire-free sports monitoring gear selling enhanced comfort and reliable data streaming performance.
Authors
Riku Maeda, Akihito Noda
Abstract
This study presents a custom near-field communication (NFC) system with software-defined protocol implementation for wearable sensors distributed across the body. Conventional wired implementations can degrade wearability because of mechanical constraints, whereas radio-based wireless approaches such as Bluetooth are affected by body-induced signal attenuation and limited communication coverage. The proposed system is compatible with previously demonstrated fabric-integrated meander coils, which provides a feasible path toward garment-scale NFC communication areas. The system combines a microcontroller unit with compact modulation and demodulation circuits, allowing medium access control and other communication protocols to be implemented in software. Experimental results demonstrate continuous acquisition of three-axis acceleration data from three sensor tags, achieving a per-tag polling rate of $222\,\mathrm{Hz}$ and an effective throughput of approximately $16\,\mathrm{kbps}$, delivering $156$ valid samples per second per tag at a measured packet error rate of $30\%$.