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Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification

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Published on: February 14, 2018

Perovskite-Based Smart Eyeglasses as Noncontact Human-Computer Interaction.

Yuming Hu^1,2, Tingqing Wu³, Haole Guo⁴

¹Key Laboratory of Green Printing, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences (ICCAS), Beijing Engineering Research Center of Nanomaterials for Green Printing Technology, Beijing National Laboratory for Molecular Sciences (BNLMS), Beijing, 100080, P. R. China.

Advanced Materials (Deerfield Beach, Fla.)

|January 17, 2025

Summary

Researchers developed cost-effective smart eyeglasses using perovskite photodetectors to monitor eyeball movements non-invasively. This innovation offers potential for advanced human-machine interfaces and personalized healthcare applications.

Keywords:

eye‐movement sensing human–computer interaction perovskite film photodetector

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Area of Science:

Materials Science
Biomedical Engineering
Optoelectronics

Background:

Vision is the primary human sense, making eyes ideal for biological monitoring.
Current methods like smart contact lenses or camera-based eyeglasses are often invasive or costly.
There is a need for accessible, minimally invasive eyeball monitoring solutions.

Purpose of the Study:

To develop a cost-effective and user-friendly method for monitoring eyeball information.
To create smart eyeglasses capable of non-contact eyeball movement detection.
To explore the potential of perovskite photodetectors in wearable sensing applications.

Main Methods:

A biomimetic mineralization strategy was employed to create large-grained perovskite films on glass substrates with ITO electrodes.
Perovskite-based photodetectors were integrated into smart eyeglasses.
Machine learning models were scaled up for analyzing visual stimuli and recognizing eyeball movements.

Main Results:

The fabricated perovskite photodetectors exhibited an on-off ratio of approximately 300 at 500 Lux and a responsivity of 22.09 A W^-1.
The smart eyeglasses successfully achieved non-contact monitoring of eyeball movement with a 5° recognition angle.
The system demonstrated the ability to unobtrusively control a model car.

Conclusions:

Perovskite photodetector-based smart eyeglasses offer a cost-effective solution for monitoring eyeball movements.
This technology holds significant potential for applications in human-machine control, augmented reality, and individual healthcare.
The developed system provides a promising platform for unobtrusive and advanced wearable sensing.