Tannery solid waste-derived cross-scale deformable piezoresistive sensors for monitoring human body motions

Wei, Yingjie; Hao, Baicun; Wang, Yanan; Wang, Yujia; Xiao, Hanzhong; Li, Li; Huang, Xin; Shi, Bi

doi:10.1039/d2tc00718e

Cited by 7 publications

(1 citation statement)

References 41 publications

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“…[20][21][22] For instance, Wei et al prepared piezoresistive sensors with oriented multilayer structures from multilevel fiber structures contained in tannery solid wastes (TSWs). 23 A unique material, buffing dust (BD), has attracted our attention; it is a leather waste with a composition similar to human skin, with abundant production, collagen-containing fiber structure and lowcost characteristics. 24,25 Secondly, conductivity and antimicrobial properties need to be considered when preparing FSDs.…”

Section: Introductionmentioning

confidence: 99%

Collagen fiber-reinforced, tough and adaptive conductive organohydrogel e-skin for multimodal sensing applications

He,

Shen,

Lan

et al. 2024

J. Mater. Chem. B

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Section: Introductionmentioning

confidence: 99%

Collagen fiber-reinforced, tough and adaptive conductive organohydrogel e-skin for multimodal sensing applications

He,

Shen,

Lan

et al. 2024

J. Mater. Chem. B

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A Highly Sensitive, Conductive, and Flexible Hydrogel Sponge as a Discriminable Multimodal Sensor for Deep‐Learning‐Assisted Gesture Language Recognition

Fu,

Yang,

Zhang

et al. 2024

Adv Funct Materials

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Flexible multimodal sensors have gained increasing popularity for applications in healthcare and extreme environment operations owing to their all‐around environmental perception and data acquisition capabilities. However, fabricating a magnetism‐mechanics‐humidity multimodal sensor that possesses high sensitivity without signal overlapping while in a facile methodology remains a great challenge. Herein, a highly sensitive, conductive, and flexible hydrogel sponge sensor with discriminable magnetism, mechanics, and humidity sensing capability is proposed, which shows stable pore size (19.30 µm) and satisfactory mechanical properties based on the synergistic hydrogen bonding among sodium alginate, poly(vinyl alcohol) and glycerol. The proposed sensors can not only display favorable humidity sensing ability with rapid response/recovery time (2.5/4 s) but also possess enhanced sensitivities (a gauge factor of 0.46 T−1 for magnetic field, −1.16 kPa−1 for pressure), superior stability and durability (over 8000 cycles). Benefiting from the separated capacitive and resistive response signals, the sensors can precisely distinguish the magnetic, mechanical, and humidity stimuli without cross‐talk. Further, the sensor arrays assisted by the deep learning algorithm are developed to realize gesture language recognition with a high accuracy of 99.17%. It can be believed that this high‐performance sensor will have good prospects in future soft electronics and human‐machine interaction systems.

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Functional magnetic alginate/gelatin sponge-based flexible sensor with multi-mode response and discrimination detection properties for human motion monitoring

Fu,

Wang,

Wan

et al. 2024

Carbohydrate Polymers

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Tannery solid waste-derived cross-scale deformable piezoresistive sensors for monitoring human body motions

Abstract: Tannery solid wastes (TSWs) generated in tannery during the leather manufacture process mainly contain collagen fibers with hierarchical fiber structure, which are potential low-cost raw materials for preparing piezoresistive sensors....

Cited by 7 publications

References 41 publications

Collagen fiber-reinforced, tough and adaptive conductive organohydrogel e-skin for multimodal sensing applications

Collagen fiber-reinforced, tough and adaptive conductive organohydrogel e-skin for multimodal sensing applications

A Highly Sensitive, Conductive, and Flexible Hydrogel Sponge as a Discriminable Multimodal Sensor for Deep‐Learning‐Assisted Gesture Language Recognition

Functional magnetic alginate/gelatin sponge-based flexible sensor with multi-mode response and discrimination detection properties for human motion monitoring

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