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Eye tracking techniques enable high-efficient, natural, and effortless human-machine interaction by detecting users' eye movements and decoding their attention and intentions. Here, a miniature, imperceptible, and biocompatible smart contact lens is proposed for in situ eye tracking and wireless eye-machine interaction. Employing the frequency encoding strategy, the chip-free and battery-free lens successes in detecting eye movement and closure. Using a time-sequential eye tracking algorithm, the lens has a great angular accuracy of <0.5°, which is even less than the vision range of central fovea. Multiple eye-machine interaction applications, such as eye-drawing, Gluttonous Snake game, web interaction, pan-tilt-zoom camera control, and robot vehicle control, are demonstrated on the eye movement model and in vivo rabbit. Furthermore, comprehensive biocompatibility tests are implemented, demonstrating low cytotoxicity and low eye irritation. Thus, the contact lens is expected to enrich approaches of eye tracking techniques and promote the development of human-machine interaction technology.
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http://dx.doi.org/10.1038/s41467-024-47851-y | DOI Listing |
Cereb Cortex
August 2025
Section of Brain Function Information, National Institute for Physiological Sciences, 38 Nishigonaka, Myodaiji, Okazaki, Aichi 444-8585, Japan.
This study aimed to identify brain activity modulations associated with different types of visual tracking using advanced functional magnetic resonance imaging techniques developed by the Human Connectome Project (HCP) consortium. Magnetic resonance imaging data were collected from 27 healthy volunteers using a 3-T scanner. During a single run, participants either fixated on a stationary visual target (fixation block) or tracked a smoothly moving or jumping target (smooth or saccadic tracking blocks), alternating across blocks.
View Article and Find Full Text PDFMethodsX
December 2025
Department of Earth and Environmental Science, University of Waterloo, Waterloo, ON, Canada.
Human factors are central to aviation safety, with pilot cognitive states such as workload, stress, and situation awareness playing important roles in flight performance and safety. Although flight simulators are widely used for training and scientific research, they often lack the ecological validity needed to replicate pilot cognitive states from real flights. To address these limitations, a new in-flight data collection methodology for general aviation using a Cessna 172 aircraft, which is one of the most widely used aircraft for pilot training, is presented.
View Article and Find Full Text PDFCognition
September 2025
Department of Linguistics, University of Ottawa, Ottawa, ON K1N 6N5, Canada. Electronic address:
This research examines how adults process and integrate a combination of higher-level semantic cues (i.e., semantic context) which are followed by lower-level acoustic cues (i.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Background: Electronic health records (EHRs) have been linked to information overload, which can lead to cognitive fatigue, a precursor to burnout. This can cause health care providers to miss critical information and make clinical errors, leading to delays in care delivery. This challenge is particularly pronounced in medical intensive care units (ICUs), where patients are critically ill and their EHRs contain extensive and complex data.
View Article and Find Full Text PDFAccid Anal Prev
September 2025
Department of Traffic Engineering and Key Laboratory of Road and Traffic Engineering Ministry of Education, Tongji University, Shanghai 201804, China. Electronic address:
In future traffic environments dominated by highly autonomous vehicles (AVs), pedestrians may face challenges in accurately interpreting AV behavior, thereby potentially increasing the risk of pedestrian-AV interactions. External human-machine interfaces (eHMIs) have been proposed to facilitate communication between AVs and pedestrians; however, comprehensive evaluations using objective data from real-world interactions are limited. This study developed a systematic evaluation framework grounded in the ISO 9241-11 standard, integrating four key indicators: decision accuracy, comprehensibility, decision efficiency, and perceived safety.
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