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</script>pmid: 40039018
Advanced wearable systems can accurately capture eye movement patterns, providing users with precise, comfortable, and reliable HCI solutions. In this paper, a Multichannel Eye-mask-based Wearable (MEW) system that offers a portable, high-sensitive eye movement recognition (EMR) and saccadic angle estimation (SAE) via the combination of multi-channel eye-mask electrodes, high-precision EOG acquisition system, and automatic EMR and SAE algorithms is proposed. The multi-channel eye-mask electrodes provide high-spatial-resolution EOG sensing, and the high-precision EOG acquisition system leverages an STM32 microcontroller and a BLE transceiver for wireless EOG data transmission. The proposed system was validated with EOG signals collected from 20 subjects over two days, during which they performed 8-directional EMR and SAE tasks. An average accuracy of 87.2% can be achieved on the EMR task. Besides, the mean absolute error (MAE) and root mean square error (RMSE) for the SAE task are 4.19°and 5.27°, indicating its effectiveness in capturing and decoding multiple eye movements. Overall, the proposed MEW system offers a reliable, portable, and high-sensitive solution in eye movement directions and angle tracking, which is also expected to be easily employed in practical scenarios for EOG-based HCI applications.
Adult, Male, Wearable Electronic Devices, Electrooculography, Eye Movements, Saccades, Humans, Signal Processing, Computer-Assisted, Female, Algorithms
Adult, Male, Wearable Electronic Devices, Electrooculography, Eye Movements, Saccades, Humans, Signal Processing, Computer-Assisted, Female, Algorithms
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