Chemically functionalized cellulose triboelectret nanogenerator for machine-learning-enabled tactile sensing
Abstract
, with a stable electrical output confirmed by long-term durability testing over 90 days. To demonstrate real-time sensing abilities, the E-TENG is employed to monitor different biomechanical signals and for tactile sensing. Additionally, machine learning analysis achieves 98.6% overall accuracy in predicting finger touch, suggesting numerous applications in gesture recognition, human-machine interfacing, robotics, healthcare and consumer electronics. These findings pave the way for scalable, natural biopolymer-based electronics, enabling next-generation wearable devices, human-machine interfaces, and pervasive healthcare diagnostics.
Fields of Study & Subjects
Advanced Sensor and Energy Harvesting Materials
Conducting polymers and applications
Electrospun Nanofibers in Biomedical Applications
Publication details
- Journal / source
- Materials Horizons
- Publisher
- Royal Society of Chemistry (RSC)
- Volume
- 13
- Issue
- 8
- Pages
- 3903–3916
- Publication date
- 1 January 2026
- Language
- EN