logo
ResearchBunny Logo
Wireless battery-free body sensor networks using near-field-enabled clothing

Health and Fitness

Wireless battery-free body sensor networks using near-field-enabled clothing

R. Lin, H. Kim, et al.

Discover how innovative near-field-enabled clothing can revolutionize the way we monitor human physiological signals. Conducted by a team of experts including Rongzhou Lin, Han-Joon Kim, and others from the National University of Singapore, this research showcases a unique system for real-time, battery-free sensor networks that can help enhance clinical diagnostics and athletic performance.... show more
Abstract
Networks of sensors placed on the skin can provide continuous measurement of human physiological signals for applications in clinical diagnostics, athletics and human-machine interfaces. Wireless and battery-free sensors are particularly desirable for reliable long-term monitoring, but current approaches for achieving this mode of operation rely on near-field technologies that require close proximity (at most a few centimetres) between each sensor and a wireless readout device. Here, we report near-field-enabled clothing capable of establishing wireless power and data connectivity between multiple distant points around the body to create a network of battery-free sensors interconnected by proximity to functional textile patterns. Using computer-controlled embroidery of conductive threads, we integrate clothing with near-field-responsive patterns that are completely fabric-based and free of fragile silicon components. We demonstrate the utility of the networked system for real-time, multi-node measurement of spinal posture as well as continuous sensing of temperature and gait during exercise.
Publisher
Nature Communications
Published On
Jan 23, 2020
Authors
Rongzhou Lin, Han-Joon Kim, Sippanat Achavananthadith, Selman A. Kurt, Shawn C.C. Tan, Haicheng Yao, Benjamin C.K. Tee, Jason K.W. Lee, John S. Ho
Tags
near-field technology
wireless sensors
functional textiles
physiological monitoring
real-time data
spinal posture
exercise
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny