Self-powered eye-tracking system by harvesting the energy of blinking

<h2>Summary</h2> With the rapid rise of artificial intelligence, self-powered human-computer interaction systems are gaining significant attention due to their sustainability, high sensitivity, and stability. Herein, a self-powered eye-tracking system based on the principle of triboelectric nanogenerators was proposed to capture the energy generated by the friction between the eyelids and the eyes during blinking, and it is applied for eye movement detection. In the biological experiment, the potential generated on the friction layer can still be maintained at −0.62 kV after 600 s. While capturing the eye movement direction, it can detect a minimum eye deflection angle up of to 2°, and the accuracy can be maintained at 99%. This design breaks through the bottleneck of eye-tracking technology, which relies on an external power supply and cannot operate in the dark. Its high sensitivity, simple structure, and strong anti-interference capability provide technical support for promoting applications in the field of human-computer interactions.

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Publication Details

Journal
Cell Reports Physical Science
Published
2026-01-01
DOI
https://doi.org/10.1016/j.xcrp.2025.103026
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
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article

Self-powered eye-tracking system by harvesting the energy of blinking

L. Wu, Zhiyong Fan, Swapnadeep Poddar, Seeram Ramakrishna et al.
Cell Reports Physical Science
Advanced Sensor and Energy Harvesting Materials
article

Self-powered eye-tracking system by harvesting the energy of blinking

L. Wu, Zhiyong Fan, Swapnadeep Poddar, Seeram Ramakrishna, Jun Zhang, Mengnan Liu, Kang-Rui Zhu, Yun-Ze Long
article en

Abstract

<h2>Summary</h2> With the rapid rise of artificial intelligence, self-powered human-computer interaction systems are gaining significant attention due to their sustainability, high sensitivity, and stability. Herein, a self-powered eye-tracking system based on the principle of triboelectric nanogenerators was proposed to capture the energy generated by the friction between the eyelids and the eyes during blinking, and it is applied for eye movement detection. In the biological experiment, the potential generated on the friction layer can still be maintained at −0.62 kV after 600 s. While capturing the eye movement direction, it can detect a minimum eye deflection angle up of to 2°, and the accuracy can be maintained at 99%. This design breaks through the bottleneck of eye-tracking technology, which relies on an external power supply and cannot operate in the dark. Its high sensitivity, simple structure, and strong anti-interference capability provide technical support for promoting applications in the field of human-computer interactions.

Cell Reports Physical ScienceVol. 7(1)
Qingdao University (CN), National University of Singapore (SG), Hong Kong University of Science and Technology (HK), University of Hong Kong (HK)
Responsible consumption and production
Openalex Percentile: Top 96%
Advanced Sensor and Energy Harvesting Materials
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