AI Article Synopsis

  • A new method for evaluating student attention in class uses the head Euler angle, combining video sampling strategies with dynamic thresholds to measure attention through head movement.
  • The method calculates "head up rate" and "head front-facing rate" from video data, allowing for a derived concentration score by normalizing these measurements.
  • Accuracy tests show this approach achieves 89.8% accuracy against survey scores and 98.43% accuracy across different head pose estimation models, demonstrating its reliability and robustness in assessing classroom concentration.

Article Abstract

How attentive is a student in class? It is an interesting and challenging question in the field of education research. In this paper, a concentration evaluation method based on head Euler angle is proposed. First, a fine large-small-interval video sampling strategy is advocated and concepts of dynamic threshold and action amplitude coefficient are defined, which are fused together to get the head up rate. Second, head front-facing rate is computed through analyzing the yaw angle, which is obtained from a proposed spatial physical model of camera and student seat position. Third, for any given time period, class concentration of a student is derived by fusing and normalizing the head up rate and head front-facing rate based on Euclidean-distance. Finally, accuracy experiments are conducted, where the proposed method achieves an average accuracy of 89.8% compared with the average score from the questionnaire given by 22 reviewers. Also, robust experiments on several head pose estimation models are facilitated, which achieves an average accuracy of 98.43% on recorded video dataset, indicates insensitivity to the head pose estimation model used for data collection and verifies that the proposed method is independent on any specific head pose estimation model. The experimental results show that the proposed method is accurate, effective and robust for the concentration evaluation in class.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11417239PMC
http://dx.doi.org/10.1016/j.heliyon.2024.e37365DOI Listing

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