A Flexible and Adhesive Strain Sensor Based on Deep Eutectic Solvents for Deep Learning-Assisted Signal Recognition

Area of Science:

• Materials Science
• Polymer Chemistry
• Wearable Electronics

Background:

• Flexible wearable electronics are crucial for healthcare and motion detection.
• Traditional rigid conductors limit device flexibility and comfort.
• Novel materials are needed to overcome limitations of current flexible electronics.

Purpose of the Study:

• To develop a self-adhesive, ultrahigh stretchable gel (DGel) for advanced wearable sensors.
• To investigate the electromechanical properties and durability of the DGel.
• To demonstrate the DGel's application in a high-accuracy touch recognition system.

Main Methods:

• Preparation of a DGel based on poly(acrylic acid) (PAA).
• Characterization of DGel's tensile strength, stretchability, and signal recognition under strain.
• Evaluation of cyclic stability and durability.
• Integration of DGel into a touch recognition system with deep learning.

Main Results:

• The DGel exhibits high tensile strength (2.16 MPa) and ultrahigh stretchability (5622.14%).
• DGel demonstrates excellent signal recognition (1-500% strain) and durability (5000 cycles).
• The integrated touch recognition system achieved 99.33% identification accuracy.

Conclusions:

• The DGel's superior performance is attributed to synergistic cross-linking.
• DGel offers a promising material for flexible sensing and wearable electronic devices.
• This work provides insights for designing novel gels for tissue engineering and sensing applications.