An ultra thin, bright, and sensitive interactive tactile display based on organic mechanoluminescence for dual‐mode handwriting identification — Tingting Hou (2024) | RDL Network
An ultra thin, bright, and sensitive interactive tactile display based on organic mechanoluminescence for dual‐mode handwriting identification
Article 2024 en
Authors
TH
Tingting Hou
WL
Wenlang Li
HW
Haoyu Wang
Abstract
1 min read
Abstract Visible light‐based human–machine interactive media is capable of transmitting electrical readouts to machines and providing intuitive feedback to users simultaneously. Currently, many inorganic mechanoluminescent (ML) materials‐based interactive media, typically ZnS‐loaded phosphors (ZLPs), have been successfully demonstrated. However, organic ML materials‐based solutions were rarely exploited despite their huge merits of strong structural modification, abundant luminescence property, low cost, easy preparation, and so on. Here, we propose a novel interactive tactile display (ITD) based on organic ML materials (Cz‐A6‐dye) and triboelectric nanogenerator, with ultra‐brightness (130% enhancement) and ultra‐low threshold pressure (57% reduction) as compared to ZLPs. The proposed ITD achieves the conversion of weak mechanical stimuli into visible light and electrical signals simultaneously, without extra power supplies. Furthermore, the relationship between the luminous performance of organic ML materials and mechanical force is quantified, benefiting from the uniform ML layer prepared. Enabled by convolutional neural networks, the high‐accuracy recognition (97.1%) for handwriting and identity of users is realized at the same time. Thus, the ITD has great potential for intelligent wearable electronics and classified military applications. image
Bibhisan Roy, Iván Maisuls, Jianyu Zhang, Felix C. Niemeyer, Fabio Rizzo, Christoph Wölper, Constantin G. Daniliuc, Ben Zhong Tang, Cristian A. Strassert, Jens Voskuhl
Bibhisan Roy, Iván Maisuls, Jianyu Zhang, Felix C. Niemeyer, Fabio Rizzo, Christoph Wölper, Constantin G. Daniliuc, Ben Zhong Tang, Cristian A. Strassert, Jens Voskuhl
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