1‐D Collocated Dual‐Gradient Sensory Fibers for Comprehensive Sensing and Decoding of Complex Human Motion and Physiology

Y Yunheum Lee S Sungha Jeon M Min Kim J Joonhee Won J Jinwook Yeo K Kyunghyun Jo S Soyeon Lee K Kieun Park (Department of Bio and Brain Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of Korea) Y Yechan Yang (Interdisciplinary Program in Bioengineering, College of Engineering Seoul National University Seoul Republic of Korea) C Chul Kim G Gun‐Hee Lee (Departments of Biomedical Engineering Ulsan National Institute of Science and Technology (UNIST) Ulsan Republic of Korea) S Seunghwa Ryu S Sungho Jo (School of Computing Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of KoreaKorea) S Seongjun Park

Abstract

ABSTRACT Wearable interfaces that capture both weak physiological fluctuations and large body motions remain difficult to realize in a single fiber because most strain‐sensing fibers are governed by one dominant electromechanical response mode. Consequently, mechanically distinct deformation regimes are ambiguously represented, limiting sensing range and information quality for downstream motion interpretation. Here, we develop a monolithic dual‐gradient fiber with complementary sensing regimes programmed through coupled materials and process design. By jointly tuning the percolation behavior and rheological drawability of carbon black/carbon nanotube‐filled styrene–ethylene–butylene–styrene (SEBS) composites, we identified two formulations suitable for coaxial co‐drawing within one continuous strand. The resulting fiber pairs a highly responsive layer for small deformation with a robust layer that stays informative at larger strain, producing synchronized but nonredundant signals. At low strain (0%–10%), the high‐sensitivity layer exhibits a gauge factor of 51.28, over four times the low‐sensitivity layer (12.42), while the two layers remain functional up to approximately 40% and 160% strain, respectively. This architecture preserves mechanically salient features across distinct and superimposed inputs, supporting measurements from pulse and respiration to joint motion. In a single‐fiber glove, the dual‐sensitivity design improves gesture‐classification accuracy by more than 10% relative to single‐sensitivity controls, enriching features for decoding.

Article Details

Volume / Issue Vol. 1, Issue 1
Published July 27, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (14)

Y

Yunheum Lee

S

Sungha Jeon

M

Min Kim

J

Joonhee Won

J

Jinwook Yeo

K

Kyunghyun Jo

S

Soyeon Lee

K

Kieun Park

Department of Bio and Brain Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of Korea

Y

Yechan Yang

Interdisciplinary Program in Bioengineering, College of Engineering Seoul National University Seoul Republic of Korea

C

Chul Kim

G

Gun‐Hee Lee

Departments of Biomedical Engineering Ulsan National Institute of Science and Technology (UNIST) Ulsan Republic of Korea

S

Seunghwa Ryu

S

Sungho Jo

School of Computing Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of KoreaKorea

S

Seongjun Park