Related Experiment Videos
Human-centric triboelectric nanogenerators for self-powered sensing, exercise technologies, and intelligent
Sz-Nian Lai1, Hsun-Yen Lin1, Yu-Hsiang Wang1
1Department of Materials Science and Engineering, National Tsing Hua University, 101, Section 2 Kuang Fu Road, Hsinchu 300, Taiwan. wujm@mx.nthu.edu.tw.
Nanoscale
|August 7, 2026
Summary
Triboelectric nanogenerators (TENGs) are evolving into self-powered sensors for human-centric applications. This review covers materials, manufacturing, and AI integration for smart systems in IoT, sports, and robotics.
Area of Science:
- Materials Science
- Engineering
- Robotics
Background:
- Triboelectric nanogenerators (TENGs) have advanced from energy harvesters to sophisticated sensing platforms.
- They leverage ubiquitous mechanical interactions for data extraction.
Purpose of the Study:
- To provide a system-level review of recent TENG advancements.
- To connect materials design, scalable manufacturing, and intelligent human-oriented applications.
Main Methods:
- Summarizing progress in materials and interface engineering for TENGs.
- Discussing large-scale manufacturing, modular architectures, and packaging.
- Highlighting AI-enabled signal processing and edge intelligence.
Main Results:
- TENGs demonstrate high charge density, robustness, and stability.
- Scalable manufacturing enables product-level reliability.
- AI transforms TENG signals for perception, interaction, and control.
Conclusions:
- TENGs are key for self-powered sensing in IoT, smart exercise analytics, and interactive robotics.
- Future opportunities lie in standardization, scalability, and intelligent system integration.