A fully onboard, calibration-free hybrid electrooculography system on smart glasses classifies up to 10 eye-movement classes at 81% accuracy using a 79 kB quantized neural network.
A Framework on the Development of an IoT Based Eye Tracking Device: A review study,
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ElectraSight: Smart Glasses with Fully Onboard Non-Invasive Eye Tracking Using Hybrid Contact and Contactless EOG
A fully onboard, calibration-free hybrid electrooculography system on smart glasses classifies up to 10 eye-movement classes at 81% accuracy using a 79 kB quantized neural network.