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Digital learning intelligent monitoring system

An intelligent monitoring system and digital learning technology, applied in the field of distance education, can solve the problems of inability to realize comprehensive monitoring and information feedback

Inactive Publication Date: 2018-06-12
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims at the defect that the existing technology can only simply detect the facial expression of the object, and cannot realize comprehensive monitoring and information feedback, etc., and proposes a digital learning intelligent monitoring system, which improves the learning state by fusing the multi-channel information of attention, sitting posture and expression Accuracy of judgment, adopting a variety of feedback modes for learning monitoring, improving the learning efficiency of learners

Method used

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  • Digital learning intelligent monitoring system
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Examples

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Embodiment 1

[0022] Such as figure 1 As shown, the present embodiment includes: attention detection module, sitting posture detection module, facial expression recognition module, fusion recognition module, policy module and monitoring module, wherein: attention detection module, sitting posture detection module and facial expression recognition module will detect respectively The learner's attention information, sitting posture information and expression information are transmitted to the fusion recognition module. When the fusion recognition module judges that the learner's state is not good through the fusion recognition algorithm, the strategy module controls the monitoring module to take visual feedback, auditory feedback, and tactile feedback to the learner. Feedback and olfactory feedback.

[0023] The attention detection module obtains attention information, and the attention information includes the duration of the learner's eye opening and closing and the frequency of opening and...

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Abstract

A digital learning intelligent monitoring system includes: an attention detection module, a sitting position detection module, an expression recognition module, a fusion recognition module, a strategymodule, and a monitoring module, wherein the attention detection module, the sitting posture detection module, and the expression recognition module respectively send the detected learner's attentioninformation, sitting position information, and facial expression information to the fusion recognition module. When the fusion recognition module judges that the learner is in the poor status throughthe fusion recognition algorithm, the strategy module controls the monitoring module to take visual feedback, auditory feedback, haptic feedback and olfactory feedback to the learner. The system improves the accuracy of the judgment of the learning state by fusing the multi-channel information of attention, sitting posture and expression, and adopts multiple feedback modes to perform the learningmonitoring, thereby improving the learning efficiency of the learner.

Description

technical field [0001] The invention relates to a technology in the field of distance education, in particular to a digital learning intelligent monitoring system. Background technique [0002] With the popularization of the Internet, there are more and more digital learning (E-Learning) services. As a brand-new learning method, E-Learning uses modern information technology to provide a learning environment with a communication mechanism and rich resources, allowing more people to learn and master technical skills at a cost several times lower than traditional teaching methods. At the same time, the demand also promotes the popularization of education in the whole society and promotes the rapid development of the national economy. [0003] Compared with traditional classroom teaching, E-Learning has many shortcomings. In traditional classrooms, teachers can judge students' listening status according to their expressions, eyes, body posture, etc., and when students are not ...

Claims

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Application Information

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IPC IPC(8): G06Q50/20
CPCG06Q50/20
Inventor 陈刚申瑞民
Owner SHANGHAI JIAO TONG UNIV
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