Physiological & On-body Neural Systems Lab
We develop soft, wearable devices and intelligent systems for measuring and interpreting brain and physiological signals. Our goal is to improve human health and interaction through real-time monitoring, signal analysis, and personalized intervention — from research to real-world impact.
Research
Hardware that touches the body, interfaces that turn its signals into control, and the intelligence that reads what they mean.
We build the hardware that touches the body — ultrathin, skin-conformal electronics comfortable enough to wear all day, and platforms that read several signals at once. Comfort is not a nicety here: it decides whether the data gets collected at all.
We sense and decode signals from the nervous system and the muscles it drives, then turn them into control. The goal is an interface that stays accurate through a long day of wear, not a few minutes of demonstration.
Measuring is only half of it. We turn continuous biosignals into decisions — clinical endpoints scored by measurement rather than observation, mental and physical state read in real time, and models that still work on the same person weeks later.
The name
Our name, PONS, stands for Physiological & On-body Neural Systems — and it is also the brainstem structure that relays signals between the brain and the body. In Latin, pons means 'bridge.' True to its name, our lab builds bridges: between brain and body signals, between humans and machines, and between everyday life and healthcare technology.
We measure the body's vital signals — cardiac, respiratory, muscular, and beyond.
We build soft, skin-conformal wearable devices for everyday life.
We sense and decode brain signals, from EEG to brain–computer interfaces.
We integrate sensing, signal processing, and applications into complete systems for health and human–machine interaction.
News
Publications
Superscript 1 marks a first author, * marks a corresponding author. Lab members are shown in bold.
We are currently recruiting undergraduate researchers, M.S. students, Ph.D. students, and postdoctoral researchers.
Please send your CV, a short cover letter, and a list of references to hodamkim@yonsei.ac.kr.