Head-mounted eye-tracking instruments are important devices for sports and human factors research, and their calibration is a more tedious task due to the varied morphology of the human head as well as wear differences. In order to improve the calibration efficiency, we innovatively proposed a Z-shaped moving target instead of a fixed target in our self-research for the calibration of the wearable eye-tracking device, which improved the time needed for calibration from 100 seconds to less than 30 seconds. In addition, in order to reduce the calibration error caused by the user's head movement during the calibration, the world camera image is feature-matched, and the virtual optic target is computed instead of the recognized optic target, thus eliminating the effect of head movement. In the calibration experiments of nine graduate students, the calibration accuracy was less than 20 pixels, and the average calibration time was about 24 seconds.
Flight operation intention confirmation is an important function of intelligent avionics systems. In order to meet the needs of flight operation intention confirmation, a flight operation intention confirmation method based on continuous visual gaze is proposed. In this method, the CCNN+Transformer algorithm is used to calculate the visual gaze landing point of the flight operator, and then determine whether the visual gaze landing point of the flight operator is located on the confirmation button. Continuous visual gaze on the confirmation button for 1.5 seconds is considered as confirmation completion. Through 100 sets of flight operation intention confirmation experiments conducted by two flight operators, it was shown that the success rate of this method reached 98%, demonstrating good results.
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