With the fast development of integrated circuit technology and internet of things, sensors with multifunctional characteristics are desperately needed. This work presents an integrated electromagnetic‐triboelectric active sensor (ETAS) for simultaneous detection of multiple mechanical triggering signals. The good combination of a contact‐separation mode triboelectric nanogenerator (TENG) and an electromagnetic generator (EMG) realizes the complement of their individual advantages. The theoretical calculation and analysis of EMG and TENG are performed to understand the relationship between their output and the external mechanical signals. The experimental results show that the output voltage of TENG part is suitable to detect the magnitude of the external triggering force with a sensitivity of about 2.01 V N⁻¹. Meanwhile, the output current of EMG part is more appropriate to reflect the triggering velocity and the sensitivity is about 4.3 mA (m s⁻¹)⁻¹. Moreover, both the TENG part and the EMG part exhibit good stabilities after more than 20 000 cycles of force loading and unloading. One ETAS that can record the typing behavior of the finger precisely is demonstrated. In addition, the TENG part can harvest the mechanical energy during typing for possible powering of tiny electronics. This ETAS has promising applications in complex human–machine interface, personal identification, and security system.

中文翻译：

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互补的电磁摩擦主动传感器，用于检测多种机械触发

随着集成电路技术和物联网的飞速发展，迫切需要具有多功能特性的传感器。这项工作提出了一个集成的电磁摩擦电有源传感器（ETAS），用于同时检测多个机械触发信号。接触分离模式摩擦电纳米发电机（TENG）和电磁发电机（EMG）的良好结合实现了它们各自优势的补充。对EMG和TENG进行了理论计算和分析，以了解它们的输出与外部机械信号之间的关系。实验结果表明，TENG部件的输出电压适用于检测外部触发力的大小，灵敏度约为2.01 VN ^-1。。同时，肌电图部分的输出电流更适合反映触发速度，灵敏度约为4.3 mA（ms ^-1）^-1。此外，在超过20 000次力加载和卸载循环后，TENG部分和EMG部分均显示出良好的稳定性。演示了一种可以精确记录手指打字行为的ETAS。此外，TENG部件可以在打字过程中收集机械能，以为微型电子设备提供动力。该ETAS在复杂的人机界面，个人识别和安全系统中具有广阔的应用前景。