Self-powered visualized tactile-acoustic sensor for accurate artificial perception with high brightness and...

Area of Science:

• Materials Science
• Sensor Technology
• Optoelectronics

Background:

• The Internet of Things (IoT) drives demand for advanced sensors.
• Challenges exist in achieving high accuracy and self-powering capabilities in visualized sensors.
• Existing sensor technologies often lack integrated tactile and acoustic sensing with self-powering features.

Purpose of the Study:

• To develop a novel self-powered visualized tactile-acoustic sensor (SVTAS).
• To explore the potential of triboelectrification-induced electroluminescence (TIEL) for integrated sensing.
• To demonstrate the sensor's application in advanced artificial visualized perception systems.

Main Methods:

• Fabrication of a self-powered visualized tactile-acoustic sensor (SVTAS) utilizing a triboelectrification-induced electroluminescence (TIEL) unit.
• Characterization of the sensor's performance in tactile sensing (horizontal-sliding mode) and acoustic wave detection (contact-separation mode).
• Construction and testing of artificial visualized perception systems using the developed SVTAS.

Main Results:

• The SVTAS achieved a high brightness of 0.5 mW cm^-2 (32 cd m^-2) and a low tactile detection limit of 0.5 kPa.
• The sensor effectively converted acoustic waves into TIEL signals, with optimal response at 44.07 Hz, a high signal-to-noise ratio of 8.7 dB^-1, and an ultrafast response time of 0.8 ms.
• The integrated perception systems demonstrated excellent performance in recognizing motion trajectories and human speech.

Conclusions:

• The developed SVTAS offers a promising solution for high-accuracy, self-powered tactile and acoustic sensing.
• The TIEL-based approach enables efficient and sustainable visualized perception systems.
• This technology contributes to wireless communication solutions free from electromagnetic interference.