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Conference Paper
자가 구동형 초유연 다공성 나노 마찰 발전기 기반 실시간 인체 동작 인식
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- Issue Date
- 2026-05
- Citation
- 한국기계가공학회 학술 대회 (춘계) 2026, pp.140-140
- Publisher
- 한국기계가공학회
- Language
- Korean
- Type
- Conference Paper
- Abstract
- Wearable and IoT devices require fully energy-autonomous hardware for sustainable operation. Here, we present a breathable, ultraflexible porous triboelectric nanogenerator (P-TENG). An 80% porous PDMS film fabricated using a sacrificial template significantly increases the effective contact area and mechanical compliance. Doping the porous PDMS with 10 wt% ZnO nanorods and 0.2 wt% multi-walled carbon nanotubes (MWCNTs) further enhances surface roughness, dielectric constant, and charge transport properties.The optimized P-TENG delivers a maximum output power of 1.38 mW (552 mW m⁻²) at 66.68 kPa under a 10⁷ Ω load. It can efficiently charge capacitors, power an 800 mAh Li-ion battery, and simultaneously illuminate 324 commercial LEDs. Furthermore, the device exhibits excellent mechanical durability, maintaining stable performance over 10,000 cycles.When embedded in a shoe insole and integrated with a microcontroller and a lightweight convolutional neural network (CNN), the P-TENG enables real-time classification of human motions, including static, walking, and running. This scalable, self-powered platform offers a promising solution for multifunctional wearable electronics in smart healthcare and IoT applications.
- Keyword
- Porous Triboelectric Nanogenerator, ZnO NRs, MWCNTs, PDMS, Human Motion Monitoring
- KSP Keywords
- Charge transport, Contact area, Convolution neural network(CNN), Dielectric Constant, IOT applications, IoT devices, Lithium-ion battery(LIB), Mechanical durability, Multi-walled, PDMS film, Self-Powered