Abstract
The burgeoning demands for health care and human-machine interfaces highlight the need for high-performance wearable strain sensors. However, it remains a major challenge to develop hydrogels that simultaneously exhibit robust mechanical properties and exceptional conductivity. This study presented a mechanically reinforced hydrogel by synergistically combining a double-network cross-linking structure with embedded electrospun nanofibers, achieving enhanced mechanical performance including an elastic modulus of 152 kPa and a toughness of 1.84 MJ m–3. In parallel, the hydrogel exhibited improved electrical conductivity (2.1 S m–1) and high sensitivity (gauge factor of 10.8), along with negligible pressure interference. By integrating five sensors into a smart glove and incorporating deep learning algorithms, we realized accurate recognition of multiple hand gestures as well as precise control of virtual games and a robotic dog. This work provides valuable insights for the rational design and development of mechanically robust and highly conductive hydrogels toward broad practical applications.
| Original language | English |
|---|---|
| Pages (from-to) | 27912-27922 |
| Number of pages | 11 |
| Journal | ACS Applied Materials and Interfaces |
| Volume | 18 |
| Issue number | 19 |
| DOIs | |
| State | Published - 20 May 2026 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- conductive hydrogel
- gesture recognition
- human-machine interaction
- wearable strain sensors
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