Fully Fabric-Based Triboelectric Nanogenerators as Self-Powered Human-Machine Interactive Keyboards

Area of Science:

• Materials Science
• Electrical Engineering
• Cybersecurity

Background:

• Wearable electronics are advancing with the Internet of Things (IoT), requiring novel solutions for power and security.
• Flexible and stretchable textiles offer potential for integrated functional electronics.
• Current wearable systems often lack self-powering capabilities and robust security features.

Purpose of the Study:

• To develop a highly flexible and self-powered fabric-based triboelectric nanogenerator (F-TENG).
• To demonstrate its application in biomechanical energy harvesting and real-time biometric authentication.
• To create a self-powered wearable keyboard (SPWK) for electrophysiological signal monitoring and individual identification.

Main Methods:

• Fabrication of a sandwiched-structure F-TENG using flexible textiles.
• Integration of F-TENG sensor arrays into a self-powered wearable keyboard (SPWK).
• Utilizing Haar wavelet for analyzing typing characteristics for biometric authentication.

Main Results:

• The F-TENG successfully harvested biomechanical energy from low-frequency motion to power a digital watch.
• The F-TENG demonstrated sensitivity to pressure changes, responding to events like falling leaves.
• The SPWK could trace and record electrophysiological signals and identify individuals based on their typing patterns.

Conclusions:

• The developed F-TENG is a promising technology for self-powered wearable electronics and energy harvesting.
• The SPWK offers a novel approach to cybersecurity through unique biometric authentication via typing characteristics.
• This research highlights the potential of fabric-based triboelectric nanogenerators in advanced IoT applications, including artificial intelligence.