公开(公告)号：US20220254264A1

公开(公告)日：2022-08-11

申请号：US17320251

申请日：2021-05-14

Applicant: University of Science and Technology Beijing

Inventor： Lun XIE ,  Mengnan CHEN

IPC: G09B5/02 ,  G06N20/00 ,  G06K9/00 ,  G06K9/46

Abstract: An online learning system based on cloud-client integration multimodal analysis includes: an online learning module used for providing an online learning interface for a user and collecting image data, physiological data, posture data and interaction log data during an online learning process of the user; a multimodal data integration decision module used for preprocessing the image data, physiological data and posture data, extracting corresponding features, and making a comprehensive decision in combination with the interaction log data to obtain a current learning state of the user; a cloud-client integration system architecture module used for coordinating use of computing resources of a cloud server and a local client according to usage conditions of the cloud server and the local client, and visually displaying a progress of computing tasks; a system interaction adjustment module used for adjusting the online learning module according to the current learning state of the user.