Customizable Screen-Printed Triboelectric Sensor Tape for Immersive Exoskeleton-Based Virtual Interaction

With the rapid development of human–machine interfaces and teleoperation systems, there is a growing demand for multifunctional sensing solutions that are both cost-effective and easy to deploy. In this study, we present a scalable and low-cost fabrication approach for producing a triboelectric-based angle-sensing tape using screen printing techniques. The sensing tape is integrated into the joint regions of wearable exoskeletons to capture human motion with high precision, enabling real-time interaction in virtual teleoperation scenarios. Experimental results demonstrate an angular sensing accuracy of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\pm 3^{\circ}$</tex>. This work lays a technological foundation for next-generation immersive teleoperation systems and holds promising applications in medical rehabilitation, virtual reality, and advanced human-machine interaction.

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Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1109/iccea65460.2025.11102382
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
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Customizable Screen-Printed Triboelectric Sensor Tape for Immersive Exoskeleton-Based Virtual Interaction

Ming Liu, Minglu Zhu, Tao Chen, Xuan Li et al.
Stroke Rehabilitation and Recovery
article

Customizable Screen-Printed Triboelectric Sensor Tape for Immersive Exoskeleton-Based Virtual Interaction

Ming Liu, Minglu Zhu, Tao Chen, Xuan Li, Yudong Zhao, Z. Du, Jiamin Yang
article en

Abstract

With the rapid development of human–machine interfaces and teleoperation systems, there is a growing demand for multifunctional sensing solutions that are both cost-effective and easy to deploy. In this study, we present a scalable and low-cost fabrication approach for producing a triboelectric-based angle-sensing tape using screen printing techniques. The sensing tape is integrated into the joint regions of wearable exoskeletons to capture human motion with high precision, enabling real-time interaction in virtual teleoperation scenarios. Experimental results demonstrate an angular sensing accuracy of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\pm 3^{\circ}$</tex>. This work lays a technological foundation for next-generation immersive teleoperation systems and holds promising applications in medical rehabilitation, virtual reality, and advanced human-machine interaction.

Soochow University (CN)
Affordable and clean energy
Openalex Percentile: Top 74%
Stroke Rehabilitation and Recovery
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