Mechanically Robust Hydrogel Strain Sensor Enabled by a Multicross-Linked Electrospun-Fiber Network for Human Motion...

Area of Science:

• Materials Science
• Biomedical Engineering
• Wearable Technology

Background:

• Growing demand for advanced health care and human-machine interfaces necessitates high-performance wearable strain sensors.
• Developing hydrogels with both robust mechanical properties and excellent electrical conductivity presents a significant challenge.
• Existing materials often compromise mechanical strength for conductivity or vice versa.

Purpose of the Study:

• To engineer a mechanically reinforced hydrogel with superior conductivity and sensitivity for wearable strain sensing.
• To address the limitations of current hydrogel-based sensors in terms of durability and performance.
• To demonstrate the practical application of the developed hydrogel in advanced human-machine interfaces.

Main Methods:

• Fabrication of a hydrogel using a synergistic double-network cross-linking structure.
• Integration of electrospun nanofibers to enhance mechanical reinforcement.
• Characterization of mechanical properties (elastic modulus, toughness) and electrical conductivity.
• Evaluation of sensor sensitivity (gauge factor) and pressure interference.
• Integration of sensors into a smart glove system with deep learning algorithms for gesture recognition.

Main Results:

• Achieved an elastic modulus of 152 kPa and a toughness of 1.84 MJ m^-3, indicating significant mechanical enhancement.
• Obtained an electrical conductivity of 2.1 S m^-1 and a high gauge factor of 10.8.
• Demonstrated negligible pressure interference, ensuring accurate strain sensing.
• Successfully realized accurate hand gesture recognition and precise control of virtual games and a robotic dog using the smart glove.

Conclusions:

• The developed hydrogel offers a promising solution for creating mechanically robust and highly conductive wearable strain sensors.
• The synergistic combination of double-network structure and nanofibers effectively enhances hydrogel performance.
• This work provides valuable insights for designing advanced hydrogels with broad practical applications in health care and human-machine interfaces.