PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 4, 2026ACS Applied Materials & Interfaces4 citations

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

View Full Paper
JLJiaxiang LiangYWYunlu WangZCZihang Cheng

Key Points

  • The aim is to develop a triboelectric nanogenerator for enhanced motion monitoring of multi-joint movements in sports.
  • Developed a multinetwork conductive hydrogel for TENG construction.
  • Deployed TENG sensors at key points: plantar, knee, shoulder, and wrist.
  • Established two integrated systems: RKCSMS and WISES for data processing.
  • Evaluated sensor durability and response times through extensive testing.
  • TENG sensor maintained stable output voltage over 3000 cycles with minimal signal decay.
  • Achieved response and recovery times of 34 ms and 15 ms, respectively.
  • Enabled accurate movement recognition and systematic evaluation of kinetic chain patterns in real time.

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.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Liang et al. (2026) studied this question.

synapsesocial.com/papers/69d0af9a659487ece0fa58echttps://doi.org/10.1021/acsami.6c01415
Ask AI
Helpful
Bookmark
Share
View Full Paper