1-D Collocated Dual-Gradient Sensory Fibers for Comprehensive Sensing and Decoding of Complex Human Motion and
Yunheum Lee1, Sungha Jeon1,2, Min Kim3
1Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Advanced Materials (Deerfield Beach, Fla.)
|July 27, 2026
Summary
Researchers developed a novel dual-gradient fiber for wearable sensors. This fiber captures both subtle physiological signals and large movements, significantly improving motion interpretation and gesture recognition accuracy.
Area of Science:
- Materials Science
- Wearable Technology
- Biomedical Engineering
Background:
- Current strain-sensing fibers struggle to capture diverse motion ranges due to single electromechanical response modes.
- This limitation leads to ambiguous signal representation, reducing sensing range and data quality for motion interpretation.
Purpose of the Study:
- To develop a monolithic dual-gradient fiber capable of capturing both weak physiological fluctuations and large body motions within a single unit.
- To overcome the limitations of single-response fibers in wearable sensing applications.
Main Methods:
- Coaxial co-drawing of two distinct styrene-ethylene-butylene-styrene (SEBS) composite formulations, filled with carbon black and carbon nanotubes.
- Tuning percolation behavior and rheological drawability of the composite materials to achieve complementary sensing regimes.
Main Results:
- The developed fiber features a highly responsive layer (gauge factor 51.28 at 0-10% strain) and a robust layer (functional up to 160% strain).
- Synchronized, non-redundant signals were generated, preserving distinct mechanical features across various deformation levels.
- Gesture-classification accuracy in a single-fiber glove improved by over 10% compared to single-sensitivity controls.
Conclusions:
- The monolithic dual-gradient fiber architecture effectively integrates complementary sensing regimes for comprehensive motion and physiological monitoring.
- This innovation enhances the performance of wearable interfaces, enabling richer data for decoding complex human movements and physiological states.
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