Flex sensors are essential for mechanosensation of human gesture monitoring, electronic skin development, and human-machine interfaces, but require a power supply for their operation. In this work, a highly sensitive and facile fabricated self-powered triboelectric flex sensor (STFS) is presented which can efficiently detect the finger bending motion and monitor the hand gestures. Drawn inspiration from the highly sensitive human skin dermis-epidermis interlocked haptic performance, the fabricated STFS consists of randomly distributed microstructured (RDM) triboelectric layers imprinted from an emery paper through thermal embossing technology, achieving a high sensitivity of 0.77 VkPa⁻¹ along with rapid rise time of 83 ms and high stability (>100,000 loading-unloading cycles). Also, the proposed flex sensor exhibits an ultrawide range of pressure detection from 0.2 kPa to 500 kPa. Moreover, a real-time application of sign language interpretation by detecting finger gestures and converting those gestures into voice and text through smartphone application is successfully demonstrated. This facile fabrication process paved a highly cost-effective, large scalable and time-efficient development of the self-powered flex sensor device with superior sensing properties, and high mechanical robustness for hand gesture monitoring and sign language interpretation system as well as human-machine interface application.

柔性传感器对于人体手势监控，电子皮肤开发和人机界面的机械感测至关重要，但是需要电源才能进行操作。在这项工作中，提出了一种高度灵敏且易于制造的自供电摩擦挠曲传感器（STFS），该传感器可以有效地检测手指的弯曲运动并监视手势。制成的STFS源自高度敏感的人类皮肤真皮-表皮联锁触觉性能，它由随机分布的微结构化（RDM）摩擦电层组成，该层由金刚砂纸通过热压花技术压​​印而成，灵敏度高达0.77 VkPa ^-1以及83毫秒的快速上升时间和高稳定性（> 100,000个装卸循环）。而且，提出的挠性传感器展现出从0.2 kPa到500 kPa的超宽压力检测范围。此外，成功地展示了通过检测手指手势并将手势通过智能手机应用程序转换为语音和文本的手语解释实时应用程序。这种简便的制造工艺为具有出色传感特性的自供电式挠性传感器设备的高成本效益，大规模扩展和省时开发铺平了道路，为手势监控和手语解释系统以及人机提供了很高的机械强度界面应用程序。