Wearable Self-Powered Pressure Sensors Based on alk-Ti₃C₂T_x Regulating Contact Barrier Difference for Noncontact...

Area of Science:

• Materials Science
• Biomedical Engineering
• Robotics

Background:

• Wearable self-powered pressure sensors offer potential for object recognition.
• Fluctuating approach speed and distance can reduce sensor accuracy.
• Developing sensors that maintain accuracy across varying conditions is crucial.

Purpose of the Study:

• To develop a wearable self-powered pressure sensor with high sensitivity, output, and permeability.
• To dynamically regulate sensor performance by modulating surface groups.
• To achieve high object recognition accuracy using advanced AI models.

Main Methods:

• Fabrication of a wearable self-powered pressure sensor with tunable surface properties.
• Utilizing triboelectric effects and electrostatic induction for signal generation.
• Employing a Transformer model with self-attention for signal processing and object recognition.

Main Results:

• The sensor achieved high sensitivity (1.48 V kPa⁻¹), high output (130.5 V), and high permeability (259.98 mm s⁻¹).
• Dynamic regulation of surface groups improved dielectric properties and sensor output.
• Object recognition accuracy reached an average of 94.3% across different speeds and distances.

Conclusions:

• The developed sensor overcomes limitations of fluctuating approach parameters for accurate object recognition.
• This technology simulates human vision, offering enhanced environmental interaction for the visually impaired.
• The sensor represents a significant advancement in assistive technology for daily living.