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March 3, 2026
Skin-inspired self-assembled gradient hetero-interlocked nanofibers tactile sensor for handwritten gesture recognition
XZ
Xuanjie Zong
Shandong University
QL
Qikai Liu
Shandong University
NZ
Nianqiang Zhang
Shandong University
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Key Points
Effective gesture recognition achieved with tactile sensors designed using gradient nanofibers, enhancing user interaction.
Results indicate over 90% accuracy in recognizing multiple handwritten gestures, suggesting reliability in application.
Developed using self-assembly techniques, the tactile sensors illustrate innovative interlocking structures that mimic skin properties.
Highlights the potential for enhancing touch technology, yet further exploration in real-world settings remains necessary.
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Zong et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75d7bc6e9836116a27932
https://doi.org/https://doi.org/10.1016/j.cej.2026.173575
Skin-inspired self-assembled gradient hetero-interlocked nanofibers tactile sensor for handwritten gesture recognition | Synapse