A Self-Sensing and Self-Powered Wearable System Based on Multi-Source Human Motion Energy Harvesting.
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; 20(28): e2311036, 2024 Jul.
Article
em En
| MEDLINE
| ID: mdl-38342584
ABSTRACT
Wearable devices play an indispensable role in modern life, and the human body contains multiple wasted energies available for wearable devices. This study proposes a self-sensing and self-powered wearable system (SS-WS) based on scavenging waist motion energy and knee negative energy. The proposed SS-WS consists of a three-degree-of-freedom triboelectric nanogenerator (TDF-TENG) and a negative energy harvester (NEH). The TDF-TENG is driven by waist motion energy and the generated triboelectric signals are processed by deep learning for recognizing the human motion. The triboelectric signals generated by TDF-TENG can accurately recognize the motion state after processing based on Gate Recurrent Unit deep learning model. With double frequency up-conversion, the NEH recovers knee negative energy generation for powering wearable devices. A model wearing the single energy harvester can generate the power of 27.01 mW when the movement speed is 8 km h-1, and the power density of NEH reaches 0.3 W kg-1 at an external excitation condition of 3 Hz. Experiments and analysis prove that the proposed SS-WS can realize self-sensing and effectively power wearable devices.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Fontes de Energia Elétrica
/
Dispositivos Eletrônicos Vestíveis
Limite:
Humans
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article