1‐D Collocated Dual‐Gradient Sensory Fibers for Comprehensive Sensing and Decoding of Complex Human Motion and Physiology
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
Authors (14)
Yunheum Lee
Sungha Jeon
Min Kim
Joonhee Won
Jinwook Yeo
Kyunghyun Jo
Soyeon Lee
Kieun Park
Department of Bio and Brain Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of Korea
Yechan Yang
Interdisciplinary Program in Bioengineering, College of Engineering Seoul National University Seoul Republic of Korea
Chul Kim
Gun‐Hee Lee
Departments of Biomedical Engineering Ulsan National Institute of Science and Technology (UNIST) Ulsan Republic of Korea
Seunghwa Ryu
Sungho Jo
School of Computing Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of KoreaKorea
Seongjun Park