Ultrastretchable Triboelectric Nanogenerators Based on Ecoflex/Porous Carbon for Self‐Powered Gesture Recognition

Zhao, Jiang; Xiao, Yu; Yang, Wei; Zhang, Shaochun; Wang, Huining; Wang, Qiang; Sun, Zhaoyang; Li, Wenjie; Gao, Min; Wang, Zefeng; Xu, Yun; Chen, Huamin; Wang, Jun

doi:10.1002/admt.202201769

Cited by 9 publications

(5 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The characteristics of TENG, such as self-powering capabilities, high sensitivity, and efficiency, facilitate the applications of intelligent sensing technologies in our daily lives. For instance, integrating TENG into gesture recognition [42][43][44], intelligent IoT [45][46][47], wearable devices [48][49][50], automated monitoring [51][52][53], and speech recognition [39,[54][55][56]. Despite significant advancements in speech recognition technology, challenges persist in certain specific application scenarios regarding accuracy and stability.…”

Section: Introductionmentioning

confidence: 99%

Flexible Self-Powered Low-Decibel Voice Recognition Mask

Li,

Shi,

Chen

et al. 2024

Sensors

View full text Add to dashboard Cite

In environments where silent communication is essential, such as libraries and conference rooms, the need for a discreet means of interaction is paramount. Here, we present a single-electrode, contact-separated triboelectric nanogenerator (CS-TENG) characterized by robust high-frequency sensing capabilities and long-term stability. Integrating this TENG onto the inner surface of a mask allows for the capture of conversational speech signals through airflow vibrations, generating a comprehensive dataset. Employing advanced signal processing techniques, including short-time Fourier transform (STFT), Mel-frequency cepstral coefficients (MFCC), and deep learning neural networks, facilitates the accurate identification of speaker content and verification of their identity. The accuracy rates for each category of vocabulary and identity recognition exceed 92% and 90%, respectively. This system represents a pivotal advancement in facilitating secure and efficient unobtrusive communication in quiet settings, with promising implications for smart home applications, virtual assistant technology, and potential deployment in security and confidentiality-sensitive contexts.

show abstract

Section: Introductionmentioning

confidence: 99%

Flexible Self-Powered Low-Decibel Voice Recognition Mask

Li,

Shi,

Chen

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…[5][6][7][8] The TENG is based on the theory of Maxwell's displacement current, the coupling effect of triboelectrification and electrostatic induction, with the advantages of high output voltage, high efficiency, high-cost performance, many material options, unique mechanism, environmentally friendliness, etc. 2,[9][10][11][12][13][14][15][16][17] Therefore it is suitable for collecting low frequency energy and can make up for the shortcomings of traditional EMGs. TENGs could also be integrated into the big data of IoT, enriching the whole sensing system.…”

Section: Introductionmentioning

confidence: 99%

A highly adaptive real-time water wave sensing array for marine applications

Liu

Zhang

et al. 2023

Nanoscale

Self Cite

View full text Add to dashboard Cite

show abstract

“…Currently, a few strategies, such as construction of electrically conductive networks of nanomaterials with different dimensions − and blocking microcrack propagation via a heteromodulus microstructure − or periodic heteroelectricity structure, − have been reported to address the foregoing issues. However, these strategies are still hard to achieve linear strain sensing over a wide strain range with low mechanical and electrical hysteresis, especially for porous composite strain sensors, which have good elasticity and permeability for electronic skin applications. − In general, porous elastomer composites with good electrical conductivity are used for pressure sensors − or triboelectric nanogenerators. − A series of distinctive preparation methods, such as freeze drying, polymer sponge templating, sacrificial templating, and 3D printing, are often used to fabricate porous composite strain sensors. However, the processing methods described above cannot effectively regulate the porous structure on demand, which makes modulating the sensor performance more challenging.…”

Section: Introductionmentioning

confidence: 99%

Linear Strain Sensors via a Spatial Heteromodulus Tricontinuous Structure Design for High-Resolution Recording of Snoring Breath

Gong,

Guo,

Shao

et al. 2023

ACS Appl. Mater. Interfaces

Self Cite

View full text Add to dashboard Cite

Porous conductive elastomer composites are very attractive for designing flexible and air-permeable mechanical sensors for healthcare, while it is challenging to achieve a linear and sensitive electromechanical response over a wide strain range for high-resolution recording of physiological activities and body motions. Here, a scalable strategy is developed to construct porous elastomer composites with a bamboo-shaped heteromodulus microstructure in the pores for the fabrication of linear stretchable strain sensors. Such a spatial heteromodulus microstructure is fabricated via phase separation and selective location of high-modulus phase during melt compounding of elastomers and thermoplastics, together with green etching of the watersoluble plastic in the tricontinuous elastomer composites. The bambooshaped heteromodulus microstructure is constructed on the pore struts via the fracture of a high-modulus polymer self-assembled on the pore surface and relaxation recovery of the elastomer matrix after prestretching, which blocks the propagation of cut-through microcracks upon stretching. The composites with super low resistance after in situ growth of silver nanoparticles sustain up to 110% tensile strain with a linear and sensitive electromechanical response, demonstrating potential applications in discriminating respiration status and monitoring snoring breath. This work unveils a new approach to fabricate high-performance air-permeable strain sensors in a simple and scalable way.

show abstract

Ultrastretchable Triboelectric Nanogenerators Based on Ecoflex/Porous Carbon for Self‐Powered Gesture Recognition

Abstract: The ORCID identification number(s) for the author(s) of this article can be found under https://doi.org/10.1002/admt.202201769.

Cited by 9 publications

References 48 publications

Flexible Self-Powered Low-Decibel Voice Recognition Mask

Flexible Self-Powered Low-Decibel Voice Recognition Mask

A highly adaptive real-time water wave sensing array for marine applications

Linear Strain Sensors via a Spatial Heteromodulus Tricontinuous Structure Design for High-Resolution Recording of Snoring Breath

Contact Info

Product

Resources

About