Mechanically Compliant and Stable Hydrogel Interfaces for Long‐Term Dynamic Pressure Detection Toward Intelligent Sports Training

Abstract The increasing pursuit of accurate epidermal pressure sensing for next‐generation wearable application has positioned electronic skins as pivotal biomimetic platforms for precision healthcare and human–machine interfacing. Conventional epidermal pressure sensors are severely limited by interfacial delamination and mechanical mismatch, compromising long‐term monitoring accuracy under dynamic conditions. To overcome the critical limitations arising from interfacial voids, an in situ adhesive biogel (IAB) is developed, which is a thermoresponsive hydrogel integrating gelatin, lignosulfonate (LS), MXene, and ascorbic acid within a glycerol/water binary solvent. This sol–gel transition facilitated spontaneous and conformal adhesion, while the composition synergistically provided antioxidative stability and conductivity, thereby establishing an integrated interface that ensured accurate signal acquisition and long‐term operational stability. Building upon the tissue‐like mechanical properties and long‐term electrochemical stability, a 4 × 4 piezoresistive sensor array is assembled, enabling precise signal acquisition and ensuring uniform response across the sensing area for spatiotemporal pressure mapping. By mounting the sensor array onto a badminton racket, spatiotemporal mapping of four distinct stroke postures is enabled. Leveraging a CNN‐LSTM‐Attention algorithm, the system achieved a high recognition accuracy of 93.75%. It is envisioned that the proposed sensing platform will pave the way for next‐generation epidermal electronics and will demonstrate potential in human–machine interfaces.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-11-10
DOI
https://doi.org/10.1002/adfm.202522847
Citations
2
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
1.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mechanically Compliant and Stable Hydrogel Interfaces for Long‐Term Dynamic Pressure Detection Toward Intelligent Sports Training

Jun He Yang, Yuxing Bai, Hongnan Zhu, Zhouyang Hu et al.
2 citations
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
1.35
article

Mechanically Compliant and Stable Hydrogel Interfaces for Long‐Term Dynamic Pressure Detection Toward Intelligent Sports Training

Jun He Yang, Yuxing Bai, Hongnan Zhu, Zhouyang Hu, Xianying Xu, Q. X. Zhang, Haonan Zhao, Liang Zheng, Sanwei Hao, Wenting Yu, Ning Zhang, Yicong Wang, Feng Xu, Xidie Liu
article en
2 citations

Abstract

Abstract The increasing pursuit of accurate epidermal pressure sensing for next‐generation wearable application has positioned electronic skins as pivotal biomimetic platforms for precision healthcare and human–machine interfacing. Conventional epidermal pressure sensors are severely limited by interfacial delamination and mechanical mismatch, compromising long‐term monitoring accuracy under dynamic conditions. To overcome the critical limitations arising from interfacial voids, an in situ adhesive biogel (IAB) is developed, which is a thermoresponsive hydrogel integrating gelatin, lignosulfonate (LS), MXene, and ascorbic acid within a glycerol/water binary solvent. This sol–gel transition facilitated spontaneous and conformal adhesion, while the composition synergistically provided antioxidative stability and conductivity, thereby establishing an integrated interface that ensured accurate signal acquisition and long‐term operational stability. Building upon the tissue‐like mechanical properties and long‐term electrochemical stability, a 4 × 4 piezoresistive sensor array is assembled, enabling precise signal acquisition and ensuring uniform response across the sensing area for spatiotemporal pressure mapping. By mounting the sensor array onto a badminton racket, spatiotemporal mapping of four distinct stroke postures is enabled. Leveraging a CNN‐LSTM‐Attention algorithm, the system achieved a high recognition accuracy of 93.75%. It is envisioned that the proposed sensing platform will pave the way for next‐generation epidermal electronics and will demonstrate potential in human–machine interfaces.

Advanced Functional MaterialsVol. 36(24)
Shandong University of Technology (CN), Capital Medical University (CN), Beijing Forestry University (CN), Stomatology Hospital (CN)
Beijing Forestry University, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 17%
Advanced Sensor and Energy Harvesting Materials
1.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.