Triboelectric Nanogenerators: Long‐Lasting and Steady Triboelectric Energy Harvesting from Low‐Frequency Irregular Motions Using Escapement Mechanism (Adv. Energy Mater. 4/2021)

Han, Kwan‐Woo; Kim, Jong‐Nam; Rajabi‐Abhari, Araz; Bui, Van‐Tien; Kim, Ji‐Seok; Choi, Dukhyun; Oh, Il‐Kwon

doi:10.1002/aenm.202170015

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“…Raising the output cycles of TENGs is another method to enhance the electric output. 241,242 Fig. 19 summarizes the relevant research on adjusting the output frequency within the last decade.…”

Section: Teng Networkmentioning

confidence: 99%

Progress in techniques for improving the output performance of triboelectric nanogenerators

Cao,

Li,

Shen

et al. 2024

Energy Environ. Sci.

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Section: Teng Networkmentioning

confidence: 99%

Progress in techniques for improving the output performance of triboelectric nanogenerators

Cao,

Li,

Shen

et al. 2024

Energy Environ. Sci.

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“…[42,43] Among many sensing mechanisms, triboelectric sensing is an excellent technology due to its low energy consumption, high sensitivity, and strong adaptability. [44,45] Furthermore, in low-frequency environments (human motion, [46] seawater fluctuations, [47] etc. ), triboelectric sensor exhibits significant advantages such as higher output voltage and higher power density.…”

Section: Introductionmentioning

confidence: 99%

A Self‐Powered and Self‐Sensing Lower‐Limb System for Smart Healthcare

Kong

Fang

Zhang

et al. 2023

Advanced Energy Materials

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In the age of the artificial intelligence of things (AIoT), wearable devices have been extensively developed for smart healthcare. This paper proposes a self‐powered and self‐sensing lower‐limb system (SS‐LS) with negative energy harvesting and motion capture for smart healthcare. The SS‐LS achieves self‐sustainability via a half‐wave electromagnetic generator (HW‐EMG) that recovers negative work from walking with a low cost of harvesting. Additionally, the motion capture function of the system is achieved by the three‐channel triboelectric nanogenerator (TC‐TENG) based on binary code, which can accurately detect the angle and direction of the knee joint rotation. The bench test experiment indicates that the HW‐EMG has an average output power of 11.2 mW, sufficient to power a wireless sensor. The three‐channel voltage signal of TC‐TENG fits well with the binary signal, which can precisely detect the angle and direction of rotation. Furthermore, the SS‐LS demonstrates an identification accuracy of 99.68% and a motion detection accuracy of 99.96% based on an LSTM deep learning model. Demonstrations of Parkinson's disease and fall detection and monitoring of three training modes (sit‐and‐stand, balance, and walking training) are also performed, which exhibit outstanding sensing capabilities. The SS‐LS is highly promising in sports rehabilitation medicine and can contribute to the development of smart healthcare.

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Triboelectric Nanogenerators: Long‐Lasting and Steady Triboelectric Energy Harvesting from Low‐Frequency Irregular Motions Using Escapement Mechanism (Adv. Energy Mater. 4/2021)

Cited by 2 publications

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Progress in techniques for improving the output performance of triboelectric nanogenerators

Progress in techniques for improving the output performance of triboelectric nanogenerators

A Self‐Powered and Self‐Sensing Lower‐Limb System for Smart Healthcare

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