Paper
7 September 2022 Capture and analysis of dynamic characteristics of students' eyes in assisted online teaching
Jiale Chai, Zhaohui Zhang, Xiaoyan Zhao
Author Affiliations +
Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 123290L (2022) https://doi.org/10.1117/12.2646829
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China
Abstract
Aiming at the problem of shelter of identification and concentration analysis such as wearing masks in offline learning under the background of epidemic situation, the identification method of action energy map based on change of eye and the concentration analysis method based on eye movement offset were proposed. The eye contour maps in a complete blink cycle were extracted from the self-built blink database videos to synthesize the action energy map. Wavelet packet decomposition was used to extract features, and kernel principal component analysis (KPCA) was used to reduce the data dimension, then support vector machine (SVM) was selected for classification training. The accuracy can reach 95%. The gradient center algorithm was used to get the eyeball center and collect the videos in the states of focus and non focus in the online class, then the Manhattan distance between the eyeball center and the eye contour center was used to measure the eye movement offset, finally the threshold to divide focus and non focus was defined.to optimize the interactive effect of online education.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiale Chai, Zhaohui Zhang, and Xiaoyan Zhao "Capture and analysis of dynamic characteristics of students' eyes in assisted online teaching", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 123290L (7 September 2022); https://doi.org/10.1117/12.2646829
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KEYWORDS
Eye

Databases

Video

Detection and tracking algorithms

Analytical research

Principal component analysis

Motion analysis

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