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Stretchable and skin-conformal piezo-triboelectric pressure sensor for human joint bending motion monitoring
Journal of Materiomics ( IF 8.4 ) Pub Date : 2021-11-03 , DOI: 10.1016/j.jmat.2021.10.007
Junbin Yu 1 , Liang Chen 1 , Xiaojuan Hou 1 , Jiliang Mu 1 , Jian He 1 , Wenping Geng 1 , Xiaojun Qiao 1 , Xiujian Chou 1
Affiliation  

Stretchable, skin-conformal, and self-powered wearable pressure sensors have garnered significant attention for use in human joint bending motion monitoring. Here, a piezo-triboelectric pressure sensor (P-TPS) based on triboelectric nanogenerator and piezoelectric nanogenerator is demonstrated. The P-TPS can generate an enhanced electrical output by coupling the dual-mode triboelectrification and piezoelectric effect. The P-TPS shows high sensitivity (voltage = 0.3 V/kPa; current = 4.3 nA/kPa; pressure range = 0–200 kPa), high linearity, and good stability. Furthermore, it demonstrates a wide measurement range (0–800 kPa), table frequency response, and fast response time. Additionally, all components of the P-TPS are fabricated using flexible and stretchable materials, affording satisfactory stretchability and excellent skin conformality. Owing to their ability to self-power, they can be attached to the outside of joints to monitor human joint bending movements in real time. Hence, this study provides a novel method of using a stretchable and skin-conformal piezo-triboelectric nanogenerator with high electrical performance as a self-powered pressure sensor, which offers significant potential in personalized recognition, medical research, and human machine interface.



中文翻译:

用于人体关节弯曲运动监测的可拉伸和贴合皮肤的压电摩擦电压力传感器

可拉伸、贴合皮肤和自供电的可穿戴压力传感器在人体关节弯曲运动监测中的应用引起了广泛关注。在这里,展示了一种基于摩擦纳米发电机和压电纳米发电机的压电摩擦电压传感器(P-TPS)。P-TPS 可以通过耦合双模摩擦起电和压电效应来产生增强的电输出。P-TPS 具有高灵敏度(电压 = 0.3 V/kPa;电流 = 4.3 nA/kPa;压力范围 = 0–200 kPa)、高线性度和良好的稳定性。此外,它还展示了宽测量范围 (0–800 kPa)、表频率响应和快速响应时间。此外,P-TPS 的所有组件均使用柔性和可拉伸材料制造,具有令人满意的拉伸性和出色的皮肤适形性。由于它们具有自我供电的能力,它们可以附着在关节外部,以实时监测人体关节弯曲运动。因此,本研究提供了一种使用具有高电性能的可拉伸和皮肤保形压电摩擦纳米发电机作为自供电压力传感器的新方法,在个性化识别、医学研究和人机界面方面具有巨大潜力。

更新日期:2021-11-03
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