Abstract: As an emerging power generation technology, triboelectric nanogenerator (TENG) has made great progress in high entropy energy harvesting, wearable electronics and self-driven sensing systems. However, due to the inherent high impedance characteristics of TENG, high open-circuit voltage (kV) and low short-circuit current (μA) make the output characterization and signal acquisition of TENG highly dependent on expensive instruments/equipment. At the same time, the high signal processing complexity limits the practical application of TENG on the Internet of Things. This work proposes a simple and effective signal acquisition and processing method for using TENG signals for intelligent monitoring, and based on this, a contactless intelligent gesture password lock is designed and manufactured. Using the single-electrode mode TENG as the signal trigger terminal, the wake-up circuit based on Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET) is designed to realize the identification of the TENG trigger state. The microcontroller unit (MCU) is then used to read the on/off state of the MOSFET and process it, followed by establishing communication between the MCU and the upper computer program. Finally, the signal processing program in the upper computer is used to demonstrate the effect of the contactless intelligent gesture password lock. This work provides a practical reference for the use of TENG in intelligent monitoring and promotes the commercial application of TENG in the fields of Internet of Things (IoTs) and Artificial Intelligence.

Key words: triboelectric nanogenerator, signal processing, intelligent monitoring, internet of things, tribotronics