An ultra thin, bright, and sensitive interactive tactile display based on organic mechanoluminescence for dual‐mode handwriting identification
Tingting Hou,
Wenlang Li,
Haoyu Wang,
Yuantian Zheng,
Chaojie Chen,
Haoran Zhang,
Kai Chen,
Huilin Xie,
Xin Li,
Shaoshuai He,
Siwei Zhang,
Dengfeng Peng,
Cheng Yang,
Jacky W. Y. Lam,
Ben Zhong Tang,
Yunlong Zi
Affiliations
Tingting Hou
Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong the People's Republic of China
Wenlang Li
Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction and Institute for Advanced Study, The Hong Kong University of Science and Technology Hong Kong the People's Republic of China
Haoyu Wang
Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong the People's Republic of China
Yuantian Zheng
Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Physics and Optoelectronic Engineering, Shenzhen University Shenzhen the People's Republic of China
Chaojie Chen
Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong the People's Republic of China
Haoran Zhang
Thrust of Sustainable Energy and Environment, The Hong Kong University of Science and Technology (Guangzhou) Guangzhou the People's Republic of China
Kai Chen
The Hong Kong University of Science and Technology Interdisciplinary Program Office Hong Kong SAR the People's Republic of China
Huilin Xie
Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction and Institute for Advanced Study, The Hong Kong University of Science and Technology Hong Kong the People's Republic of China
Xin Li
Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction and Institute for Advanced Study, The Hong Kong University of Science and Technology Hong Kong the People's Republic of China
Shaoshuai He
Thrust of Sustainable Energy and Environment, The Hong Kong University of Science and Technology (Guangzhou) Guangzhou the People's Republic of China
Siwei Zhang
Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction and Institute for Advanced Study, The Hong Kong University of Science and Technology Hong Kong the People's Republic of China
Dengfeng Peng
Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Physics and Optoelectronic Engineering, Shenzhen University Shenzhen the People's Republic of China
Cheng Yang
Institute of Materials Research, Tsinghua Shenzhen International Graduate School, Tsinghua University Shenzhen the People's Republic of China
Jacky W. Y. Lam
Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction and Institute for Advanced Study, The Hong Kong University of Science and Technology Hong Kong the People's Republic of China
Ben Zhong Tang
Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction and Institute for Advanced Study, The Hong Kong University of Science and Technology Hong Kong the People's Republic of China
Yunlong Zi
Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong the People's Republic of China
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.