Student attention analysis system based on wearable equipment and multi-modal intelligent analysis

A technology of intelligent analysis and wearable equipment, applied in character and pattern recognition, biological neural network models, instruments, etc., can solve problems such as deficiencies and lags, and achieve the effect of improving teaching efficiency

Pending Publication Date: 2019-12-06
南京励智心理大数据产业研究院有限公司 +1
View PDF6 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional analysis of students' attention mainly uses methods such as classroom observation or scale comparison, and there are obvious deficiencies and lags in informationization, standardization, and intelligence.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Student attention analysis system based on wearable equipment and multi-modal intelligent analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings. It should be understood that the embodiments provided below are only intended to disclose the present invention in detail and completely, and fully convey the technical concept of the present invention to those skilled in the art. The present invention can also be implemented in many different forms, and does not Limited to the embodiments described herein. The terms used in the exemplary embodiments shown in the drawings do not limit the present invention.

[0024] see figure 1 , the student classroom attention analysis system based on wearable devices and multimodal intelligent analysis provided by this embodiment, the specific steps are:

[0025] S1. Use the head-mounted device to obtain the color video data and head posture information of the student's current field of view; the head-mounted device includes: a camera for collecting color v...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a student attention analysis system based on wearable equipment and multi-modal intelligent analysis. The main steps of the student attention analysis system are as follows: firstly, each student wears head-mounted equipment to obtain real-time video and posture data, and transmits the real-time video and posture data to a multi-modal intelligent analysis server through a wireless network after coding; the multi-modal intelligent analysis server obtains video and attitude data through decoding; secondly, curtain detection is conducted on teachers and projector curtainsin the video through a multi-target detection algorithm based on a deep neural network, and the positions of the two targets in the video are determined; and finally, the attention of the current student is analyzed by fusing the attitude data and the video detection data, and an attention result for a period of time is displayed and reported. On one hand, the student attention analysis system helps parents to know the attention condition of children in class, and on the other hand, helps teachers to master the overall state of students in the teaching process, so that the teachers can effectively adjust the class, and the teaching efficiency of the class is improved.

Description

technical field [0001] The invention belongs to the technical field of multimedia information processing and the Internet of Things, and specifically relates to a student classroom attention analysis system based on wearable devices and multi-modal intelligent analysis. Background technique [0002] Whether students' attention in class is concentrated is an important indicator of learning efficiency and teaching quality. The traditional analysis of students' attention mainly adopts methods such as classroom observation or scale comparison, and there are obvious deficiencies and lags in informationization, standardization, and intelligence. With the rapid development of information technology, especially the intelligent development of multimedia information processing and the Internet of Things, it is possible to make up for the above problems. Contents of the invention [0003] Aiming at the deficiencies of existing methods, the object of the present invention is to provi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04
CPCG06V40/20G06N3/045
Inventor 孙宁刘佶鑫
Owner 南京励智心理大数据产业研究院有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap