Self-powered visualized tactile-acoustic sensor for accurate artificial perception with high brightness and record-low detection limit.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 39475613.
- Also identified by DOI 10.1126/sciadv.adq8989 and PMC identifier 11524179.
- Licence recorded as CC BY-NC.
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Abstract
The growth of the Internet of Things has focused attention on visualized sensors as a key technology. However, it remains challenging to achieve high sensing accuracy and self-power ability. Here, we propose a self-powered visualized tactile-acoustic sensor (SVTAS) based on an elaborated triboelectrification-induced electroluminescence (TIEL) unit. To date, it features a high brightness of 0.5 mW cm<sup>-2</sup> (32 cd m<sup>-2</sup>) and a record-low detection limit of 0.5 kPa in horizontal-sliding mode. Meanwhile, the SVTAS is applicable to convert acoustic waves into TIEL signals in contact-separation mode, showing the highest response to the 44.07 Hz sound, a high signal-to-noise ratio of 8.7 dB<sup>-1</sup>, and an ultrafast response time of 0.8 ms. Furthermore, advanced artificial visualized perception systems are constructed with excellent performance in recognizing motion trajectories and human speech with different words/sentences. This work paves the way for the highly efficient and sustainable development of new-generation self-powered visualized perception systems, contributing a solution to wireless communication free from electromagnetic interference.