Intelligent flexible sensors are an integral component of the next generation of consumer electronics. However, developing a flexible pressure sensing system that possesses both high sensitivity and a sensing range remains a key challenge in practical applications. Herein, a machine learning-assisted 3D laser-induced graphene (3D-LIG)/polydimethylsiloxane composite flexible pressure sensing system based on ultraviolet (UV) laser integrated fabrication was proposed. Low-cost LIG-based flexible sensors with a 3D carbonized structure were prepared by selective UV laser ablation and laser-induced graphitization. The interlayer interlocking structure, combined with the internal porous structure of LIG, enriches the sensing mechanism, allowing the sensor to exhibit triphasic linear response characteristics, demonstrating a large sensing range (0–500 kPa) and high sensitivity (0–20 kPa, 3.047 kPa^–1). Based on machine-learning algorithms, an intelligent wearable sign language translation system was constructed capable of high-precision recognition of complex sign language sequence information. The integration of LIG with 3D microstructures allows a wider space for designing LIG-based flexible sensing structures and offers a promising platform for the development of intelligent wearable devices.

中文翻译：

---

基于紫外激光诱导的 3D 石墨烯图案化，具有更高感应距离和灵敏度的智能柔性压力传感器


智能柔性传感器是下一代消费电子产品不可或缺的组成部分。然而，开发一种兼具高灵敏度和感应范围的灵活压力传感系统仍然是实际应用中的关键挑战。在此，提出了一种基于紫外 （UV） 激光集成制造的机器学习辅助 3D 激光诱导石墨烯 （3D-LIG）/聚二甲基硅氧烷复合柔性压力传感系统。通过选择性紫外激光烧蚀和激光诱导石墨化制备了具有 3D 碳化结构的低成本基于 LIG 的柔性传感器。层间互锁结构与 LIG 的内部多孔结构相结合，丰富了传感机制，使传感器表现出三相线性响应特性，表现出大感应范围 （0–500 kPa） 和高灵敏度 （0–20 kPa， 3.047 kPa^–1）。基于机器学习算法，构建了能够高精度识别复杂手语序列信息的智能可穿戴手语翻译系统。LIG 与 3D 微结构的集成为设计基于 LIG 的柔性传感结构提供了更广阔的空间，并为智能可穿戴设备的开发提供了广阔的平台。