The method of eye tracking in E-learning figure detection
Abstract:
Students and the teacher can't make face to face communication
in the condition of E-learning. In this situation, the teacher can't know the
status of students and can't take corresponding measures to adjust the
students. A method was proposed to detect and track eyes and to recognize the
opening and shutting of eyes in a real-time video stream. The eye was tracked
by detecting the inner eye corner. Open eye template could be created online
and dynamically updated. The opening or shutting of eyes could be recognized
using correlation with an online open eye template. Experiments indicate that
an accuracy rate of 95% in blink detection is obtained using the proposed
method at a processing rate of 50 fields per second, which could be applied to
E-learning figure Detection successfully.
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