More than 70% of human information comes from vision. The eye is one of the most attractive sensing sites to collect biological parameters. However, it is urgent to develop a cost-effective and easy-to-use approach to monitor eyeball information in a minimally invasive way instead of current smart contact lenses or camera-based eyeglasses. Here, the biomimetic mineralization strategy is developed to prepare large-grained perovskite film on the glass with prepared ITO electrodes, which displays the on-off ratio close to 300 times at 500 Lux light intensity, and the responsiveness reaches 22.09 A W. The smart eyeglasses composed of perovskite-based photodetectors can directly convert the visual stimuli from the reflective light of eyeballs into electrical signals in all light circumstances. After scaling up the pretraining data and the model size, the smart eyeglasses achieve the noncontact monitoring of the eyeball movement with the recognition angle of 5°, which can be used to unobtrusively drive the model car with great freedom. The smart eyeglasses based on the perovskite photodetectors provide cost-effective approaches for monitoring eyeball movements, which will show great potential in the applications of man-machine control, augmented reality, individual healthcare, etc.
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http://dx.doi.org/10.1002/adma.202412329 | DOI Listing |
Adv Mater
January 2025
Key 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.
More than 70% of human information comes from vision. The eye is one of the most attractive sensing sites to collect biological parameters. However, it is urgent to develop a cost-effective and easy-to-use approach to monitor eyeball information in a minimally invasive way instead of current smart contact lenses or camera-based eyeglasses.
View Article and Find Full Text PDFSci Data
December 2024
MIT Media Lab, Cambridge, MA, USA.
This study presents a comprehensive dataset capturing indoor environmental parameters, physiological responses, and subjective perceptions across three global cities. Utilizing wearable sensors, including smart eyeglasses, and a modified Cozie app, environmental and physiological data were collected, along with pre-screening, onboarding, and recurring surveys. Peripheral cues facilitated participant engagement with micro-EMA surveys, minimizing disruption over a 5-day collection period.
View Article and Find Full Text PDFSensors (Basel)
October 2024
School of Opto-Electronical Engineering, Xi'an Technological University, Xi'an 710021, China.
With the rapid development of wearable biosensor technology, the combination of head-mounted displays and augmented reality (AR) technology has shown great potential for health monitoring and biomedical diagnosis applications. However, further optimizing its performance and improving data interaction accuracy remain crucial issues that must be addressed. In this study, we develop smart glasses based on augmented reality and eye tracking technology.
View Article and Find Full Text PDFSensors (Basel)
October 2024
Institute for Occupational and Maritime Medicine (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), 20459 Hamburg, Germany.
The usage of smart glasses in goods logistics and order picking has mainly been studied through cross-sectional experimental studies. Our longitudinal field study investigated the effects of smart glasses on the eyesight of 43 employees at two German companies. We combined ophthalmological examinations and questionnaire surveys at two points in time, six months apart.
View Article and Find Full Text PDFACS Appl Opt Mater
May 2024
Department of Chemistry, University of North Carolina at Charlotte, Charlotte, North Carolina 28223, United States.
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