Self-Powered Triboelectric Nanogenerator Based on Multi-Network Conductive Hydrogel for Kinetic Chain Monitoring in Badminton

Triboelectric nanogenerators (TENGs) have been widely explored for wearable motion monitoring, yet existing designs are mainly confined to single-site sensing, limiting their ability to capture coordinated multijoint movements. Here, a multinetwork conductive hydrogel with both robustness and conductivity was developed and further utilized to construct a TENG sensor, which demonstrated outstanding durability by maintaining stable output voltage over 3000 operating cycles with 6.8% signal decay after 15 days of storage (25 ± 2 °C), as well as rapid response and recovery times of 34 and 15 ms. To capture motion signals, TENG sensors were strategically deployed at the plantar, knee, shoulder, and wrist. Building upon this sensing platform, two integrated systems were established through the integration of a data processing hardware module and a personal computer (PC) software module: a real-time kinetic chain signal monitoring system (RKCSMS) and a wireless intelligent sports evaluation system (WISES). The two systems enabled accurate movement recognition, systematic assessment of kinetic chain patterns, and real-time feedback. This study demonstrated the strong potential of TENGs based on conductive hydrogels for applications in flexible smart wearables, rehabilitation assessment, sports training, and health management.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2026-04-02
DOI
https://doi.org/10.1021/acsami.6c01415
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
12.55

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article

Self-Powered Triboelectric Nanogenerator Based on Multi-Network Conductive Hydrogel for Kinetic Chain Monitoring in Badminton

Zhuo Lu, Yupeng Mao, Diandong Lang, Biao Wang et al.
1 citations
ACS Applied Materials & Interfaces
Advanced Sensor and Energy Harvesting Materials
12.55
article

Self-Powered Triboelectric Nanogenerator Based on Multi-Network Conductive Hydrogel for Kinetic Chain Monitoring in Badminton

Zhuo Lu, Yupeng Mao, Diandong Lang, Biao Wang, Yunlu Wang, Zihang Cheng, Hengzhi Guo, Jiaxiang Liang, Zihao Gao, Dongsheng Liu
article en
1 citations

Abstract

Triboelectric nanogenerators (TENGs) have been widely explored for wearable motion monitoring, yet existing designs are mainly confined to single-site sensing, limiting their ability to capture coordinated multijoint movements. Here, a multinetwork conductive hydrogel with both robustness and conductivity was developed and further utilized to construct a TENG sensor, which demonstrated outstanding durability by maintaining stable output voltage over 3000 operating cycles with 6.8% signal decay after 15 days of storage (25 ± 2 °C), as well as rapid response and recovery times of 34 and 15 ms. To capture motion signals, TENG sensors were strategically deployed at the plantar, knee, shoulder, and wrist. Building upon this sensing platform, two integrated systems were established through the integration of a data processing hardware module and a personal computer (PC) software module: a real-time kinetic chain signal monitoring system (RKCSMS) and a wireless intelligent sports evaluation system (WISES). The two systems enabled accurate movement recognition, systematic assessment of kinetic chain patterns, and real-time feedback. This study demonstrated the strong potential of TENGs based on conductive hydrogels for applications in flexible smart wearables, rehabilitation assessment, sports training, and health management.

ACS Applied Materials & InterfacesVol. 18(14)
Linyi University (CN), Northeast Normal University (CN), Health Education North West (GB), Universidad del Noreste (MX)
Department of Education of Liaoning Province, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 1%
Advanced Sensor and Energy Harvesting Materials
12.55
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