Remote education attention detection method and system

Abstract

The invention discloses a remote education attention detection method and a remote education attention detection system. The method comprises the following steps: acquiring a facial image; carrying out image preprocessing on the collected face image, carrying out Gaussian filtering, and converting the image from an RGB image into a grayscale image; selecting face features, recognizing the face feature values through a face recognition algorithm, and carrying out feature value matching verification; constructing a face real-time emotion classification system; marking human face feature points,and calculating the mouth opening degree and the eye opening degree according to the geometric distance between the feature points; presetting an eye opening degree threshold value, a mouth opening degree first threshold value and a mouth opening second threshold value, and judging that the attention state is focused or distracted; setting interval time to collect facial images, and feeding back aprompt when the attention state is judged to be distraction. Real-time attention detection is set, the learning attention state of students is detected, the learning effect of distance education is improved in an assisted mode, and the purpose of intelligent teaching is achieved.

Description

Technical field[0001]This application relates to the technical field of image recognition processing, and specifically relates to a distance education attention detection method and system.Background technique[0002]Distance education refers to a teaching mode that uses media such as television and the Internet to break the boundaries of time and space so that teachers can teach remotely and learn at home. Modern distance education is also called network education, and it is a new concept created after modern information technology is applied to education.[0003]The characteristics of distance education determine that distance education is mainly self-study. Most of the current online distance learning lacks student evaluation modules. Students are separated from teachers and classmates, and there is no classroom atmosphere. Teachers cannot understand the status of students in real time, leading to distance education learning The effect is poor and the quality is low. In the end, the ...

AI Technical Summary

Problems solved by technology

[0003] The characteristics of distance education determine that distance education is mainly self-study. Most of the current online distance learning lacks student assessment modules. Students, teachers, and classmates are separated from each other, and there is no classroom atmosphere. Teachers cannot understand students' status in real time, resulting in distance education learning The effect is poor, the quality is low, and the learning effect of most students is unsatisfactory in the end

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