Remote user attention evaluation method and system based on multi-modal interaction

Abstract

The invention relates to the field of distance education, and provides a remote user attention evaluation method based on multi-modal interaction. The method and the system aim to solve the problems that in remote education, the real-time learning state of a user is difficult to supervise, the learning quality cannot be evaluated, and the learning effect of the user is greatly affected. The methodcomprises the steps: acquiring multi-modal information of the user to be evaluated through an information acquisition module; judging whether the to-be-evaluated user is a target user or not according to the multi-modal information, and if not, sending prompt information; if the to-be-evaluated user is the target user, sending instruction information to the to-be-evaluated user, and receiving response information of the to-be-evaluated user; and evaluating the state of the to-be-evaluated user according to the response information. Evaluation of the real-time learning state of the user in distance education is realized so as to supervise the learning of the user.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a multimodal interaction-based remote user attention evaluation method and system for evaluating student behavior in distance education. Background technique [0002] With the popularity of computers, personal intelligent electronic devices and high-speed networks, distance education at home and abroad has developed rapidly, and network platforms and intelligent electronic devices that provide related services have emerged in an endless stream. Distance education has become a new mainstream education model. In the process of development, distance education has transformed from a resource for individual users to learn actively based on hobbies and needs in the early stage, to a relatively fixed and large-scale application of the main teaching method and the replacement of existing classrooms, resulting in insufficient motivation for users to actively learn , The enthusiasm is low so...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the problem of poor learning quality and poor learning effect caused by users' low learning enthusiasm due to the inability to monitor the learning status of users in real time in distance education, the present invention proposes a A remote user attention assessment method based on multimodal interaction urges users to learn to solve the above problems:

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