A Broad Range Triboelectric Stiffness Sensor for Variable Inclusions Recognition

Abstract

Highlights We propose a broad range triboelectric sensor system employing elastic sponge and shielding layers, which can realize fast stiffness recognition within 1.0 s at a low cost. A novel algorithm is proposed for rapid stiffness identification by extracting signal characteristics, effectively reducing demand of computing resources. The proposed sensor system can identify the multi-layer stiffness structure of objects, enabling effective recognition of variable inclusions in soft objects with an accuracy of 99.7%.

Keywords

• Stiffness sensor
• Decoupling method
• Heterogeneous stiffness
• Variable inclusions
• Healthcare applications