Key Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan, Shandong 250061, China.
National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan, Shandong 250061, China.
ACS Appl Mater Interfaces. 2024 Jul 24;16(29):38780-38791. doi: 10.1021/acsami.4c07868. Epub 2024 Jul 15.
Flexible strain sensors have been widely researched in fields such as smart wearables, human health monitoring, and biomedical applications. However, achieving a wide sensing range and high sensitivity of flexible strain sensors simultaneously remains a challenge, limiting their further applications. To address these issues, a cross-scale combinatorial bionic hierarchical design featuring microscale morphology combined with a macroscale base to balance the sensing range and sensitivity is presented. Inspired by the combination of serpentine and butterfly wing structures, this study employs three-dimensional printing, prestretching, and mold transfer processes to construct a combinatorial bionic hierarchical flexible strain sensor (CBH-sensor) with serpentine-shaped inverted-V-groove/wrinkling-cracking structures. The CBH-sensor has a high wide sensing range of 150% and high sensitivity with a gauge factor of up to 2416.67. In addition, it demonstrates the application of the CBH-sensor array in sign language gesture recognition, successfully identifying nine different sign language gestures with an impressive accuracy of 100% with the assistance of machine learning. The CBH-sensor exhibits considerable promise for use in enabling unobstructed communication between individuals who use sign language and those who do not. Furthermore, it has wide-ranging possibilities for use in the field of gesture-driven interactions in human-computer interfaces.
柔性应变传感器在智能可穿戴设备、人体健康监测和生物医学应用等领域得到了广泛的研究。然而，同时实现宽的传感范围和高的灵敏度仍然是一个挑战，限制了它们的进一步应用。为了解决这些问题，提出了一种具有微观形态与宏观基底相结合的跨尺度组合仿生分层设计，以平衡传感范围和灵敏度。受蛇形和蝴蝶翅膀结构组合的启发，本研究采用三维打印、预拉伸和模具转移工艺，构建了具有蛇形倒 V 形槽/褶皱开裂结构的组合仿生分层柔性应变传感器 (CBH-sensor)。CBH-sensor 具有 150%的高宽传感范围和高达 2416.67 的高灵敏度。此外，它展示了 CBH-sensor 阵列在手语手势识别中的应用，在机器学习的辅助下，成功识别了 9 种不同的手语手势，准确率达到 100%。CBH-sensor 有望实现使用手语的人与不使用手语的人之间无障碍的沟通。此外，它在人机界面中的手势驱动交互领域具有广泛的应用潜力。
