Affiliations 

  • 1 Department of Mechanical and Mechatronics Engineering, University of Auckland, Auckland 1010, New Zealand
  • 2 Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 510641, China
  • 3 New Energy Science and Engineering, Xiamen University Malaysia, Sepang 43900, Selangor, Malaysia
  • 4 School of Engineering and Built Environment, Griffith University, Brisbane, QLD 4111, Australia
Sensors (Basel), 2026 Oct 14;26(20).
PMID: 42944356 DOI: 10.3390/s26206493

Abstract

Triboelectric nanogenerators (TENGs) have been extensively investigated as both energy harvesters and self-powered sensors. While their application as force sensors has been widely reported, the use of TENGs as stretch sensors remains relatively unexplored. Stretch sensors are important for monitoring human joint and limb movements, with significant potential in rehabilitation applications such as post-stroke therapy and recovery following knee surgery. In this work, we present a preliminary TENG-based stretch sensor comprising a multi-triangular elastomer structure and an arched copper electrode. The primary objective is to establish the viability of the sensing concept and validate its fundamental operating principle. The device generates an output voltage that is proportional to the bending angle. This behavior arises from the increased contact and friction between the elastomer (Dragon Skin silicone) and copper layers as deformation increases, resulting in enhanced triboelectric charge generation and a higher output voltage. Owing to the inherent capacitive characteristics of the TENG under high-impedance loading conditions, the generated voltage can be retained for several seconds after the bending motion ceases. This retention time is sufficient for signal acquisition and joint-motion detection electronics. Experimental results demonstrate that the proposed TENG-based stretch sensor can reliably measure bending angles under both quasi-static and dynamic operating conditions, highlighting its potential for wearable motion-monitoring and rehabilitation systems.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.