Graded Nanotexturing Architectural Wearable Triboelectric Sensor for Programmable Haptic Exploration

Emulating biological perception mechanisms to construct intelligent sensing devices and systems represents a paradigm for promoting human-computer interaction in the Internet of Everything era. Nonetheless, developing highly sensitive, real-time sensing and rapidly integrated intelligent interaction units remains a challenging and time-consuming endeavor. This study employs a low-temperature glow discharge technique to rapidly fabricate graded nanotexturing architectural triboelectric nanopaper, upon which wearable triboelectric sensors for real-time tactile detection are designed. The structure enhances the contact area under an external force. Additionally, the Z-stacking structure design enables the sensor to achieve a remarkable sensitivity of 10.3 kPa<sup>-1</sup> and a rapid response time of 52 ms. Furthermore, a tactile sensor array was designed to demonstrate the triboelectric sensor's ability to recognize characteristic pressures. With programmable machine learning techniques, the object recognition rate reached 97%. This study supports material structural design across disciplines, laying a solid foundation for the rapid fabrication and integration of transient wearable electronics.

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Institutions

Publication Details

Journal
Nano Letters
Published
2024-10-16
DOI
https://doi.org/10.1021/acs.nanolett.4c03000
Citations
20
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
3.69

Funders

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article

Graded Nanotexturing Architectural Wearable Triboelectric Sensor for Programmable Haptic Exploration

Tao Liu, Mingchao Chi, Cong Gao, Shuangxi Nie et al.
20 citations
Nano Letters
Advanced Sensor and Energy Harvesting Materials
3.69
article

Graded Nanotexturing Architectural Wearable Triboelectric Sensor for Programmable Haptic Exploration

Tao Liu, Mingchao Chi, Cong Gao, Shuangxi Nie, Chenchen Cai, Song Zhang, Bin Luo, Yanhua Liu, Jinlong Wang, Tong Zhao, Shuangfei Wang, Weijie Zeng, Xiuzhen Li
article en
20 citations

Abstract

Emulating biological perception mechanisms to construct intelligent sensing devices and systems represents a paradigm for promoting human-computer interaction in the Internet of Everything era. Nonetheless, developing highly sensitive, real-time sensing and rapidly integrated intelligent interaction units remains a challenging and time-consuming endeavor. This study employs a low-temperature glow discharge technique to rapidly fabricate graded nanotexturing architectural triboelectric nanopaper, upon which wearable triboelectric sensors for real-time tactile detection are designed. The structure enhances the contact area under an external force. Additionally, the Z-stacking structure design enables the sensor to achieve a remarkable sensitivity of 10.3 kPa<sup>-1</sup> and a rapid response time of 52 ms. Furthermore, a tactile sensor array was designed to demonstrate the triboelectric sensor's ability to recognize characteristic pressures. With programmable machine learning techniques, the object recognition rate reached 97%. This study supports material structural design across disciplines, laying a solid foundation for the rapid fabrication and integration of transient wearable electronics.

Nano LettersVol. 24(43)
Guangxi University (CN)
Natural Science Foundation of Guangxi Zhuang Autonomous Region, National Natural Science Foundation of China
Openalex Percentile: Top 6%
Advanced Sensor and Energy Harvesting Materials
3.69
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