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Updated: Jan 20, 2026

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
Published on: April 11, 2018
Self-Powered Inhomogeneous Strain Sensor Enabled Joint Motion and Three-Dimensional Muscle Sensing.
Haiming Wang1,2, Ding Li1,2, Wei Zhong1,2
1Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems , Chinese Academy of Sciences , Beijing 100083 , P. R. China.
This study presents a new wearable sensor using a stretchable triboelectric nanogenerator (TENG). This durable device converts mechanical motion into electrical signals for monitoring joint and muscle movement.
Area of Science:
- Materials Science
- Electrical Engineering
- Biomedical Engineering
Background:
- Wearable electronics require advanced sensors for diverse daily applications.
- Developing noninvasive, durable, and stretchable sensors is a key challenge.
Purpose of the Study:
- To demonstrate a novel stretchable triboelectric nanogenerator (TENG) for wearable sensing applications.
- To utilize the TENG as a skin-friendly, noninvasive sensor for mechanical deformation detection.
Main Methods:
- Fabrication of a TENG using stacked silicone rubber layers embedded with silver nanowires and nickel foam electrodes.
- Utilizing the triboelectric effect, where mechanical deformation induces charge generation and voltage signals.
- Developing a joint sensor and a 3D sensor array by integrating TENGs to monitor joint bending and muscle deformation.
Main Results:
- The fabricated TENG demonstrated effective conversion of mechanical deformation (stretching, extruding) into measurable electrical signals.
- The joint sensor accurately correlated output voltage with joint bending degrees.
- The 3D sensor array successfully depicted muscle area deformations by simultaneously monitoring multiple TENG outputs.
Conclusions:
- The developed stretchable TENG is a promising technology for advanced wearable sensors.
- The TENG-based sensors offer a durable, skin-friendly, and noninvasive approach for monitoring human motion.
- This technology has potential applications in health monitoring, human-computer interaction, and robotics.
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