Ubiquitous noise pollution has been associated with significant negative impacts on human health. However, current porous sound‐absorbing materials encounter considerable obstacles such as thick density, narrow absorbing band, and limited function. Here, a facile‐producing method for lightweight and efficiently sound‐absorbing aerogels made from bacterial cellulose (BC) and poly(vinyl alcohol) (PVA) is presented. The fabricated anisotropic aerogels with directional pores exhibit a minimum density as low as 11.3 mg cm−3. Meanwhile, the lamellar aerogels with low areal density (20.89 mg cm−2) exhibit remarkable noise attenuation performance with the noise reduction coefficient of 0.51.Furthermore, the BC‐PVA‐Ba0.85Ca0.15Zr0.9Ti0.1O3 (BCZT) aerogels show enhanced sound absorption performance, and these aerogels are self‐powered sensors to monitor vehicle collisions and human gestures. The algorithm yields high accuracy in human gesture recognition (100%) based on the deep‐learning model. These aerogels offer an encouraging application prospect in the automobile field to realize car weight reduction and vehicle's intelligent control system.

中文翻译：

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用于高效吸声和机器学习辅助传感的分层压电气凝胶


无处不在的噪音污染对人类健康造成重大负面影响。然而，目前的多孔吸声材料存在密度大、吸声带窄、功能有限等问题。在这里，提出了一种由细菌纤维素（BC）和聚乙烯醇（PVA）制成的轻质且高效吸音气凝胶的简便生产方法。所制备的具有定向孔的各向异性气凝胶的最小密度低至 11.3 mg cm−3。同时，低面密度（20.89 mg cm−2）的层状气凝胶表现出显着的降噪性能，降噪系数为0.51。此外，BC-PVA-Ba0.85Ca0.15Zr0.9Ti0.1O3（BCZT）气凝胶显示增强的吸音性能，这些气凝胶是自供电传感器，可以监测车辆碰撞和人体手势。该算法基于深度学习模型，在人体手势识别方面具有很高的准确率（100%）。这些气凝胶在汽车领域实现汽车减重和汽车智能控制系统提供了令人鼓舞的应用前景。