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Microcrack‐Structured Visualizable Hydrogel Sensor for Machine Learning‐Assisted Handwriting Recognition

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Microcrack-structured hydrogel sensor improves sensing performance, suggesting enhanced human-machine interaction.

The developed hydrogel sensor achieves a low detection limit of 0.2% strain and exceptional sensitivity.
Tunable mechanoluminescence and large strain detection range up to 2050% exemplify the sensor's outstanding performance.
Hydrogen bonding enhances the hydrogel's water retention and anti-freezing capabilities for broader operational use.
Machine learning integration allows the sensor to enable accurate handwriting recognition for advanced communication.

Jiang et al. (2025) studied this question.

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