Kinect-based monitoring system for teaching in classroom

LI Bin; XIE Di; DUAN Wei-jun; YANG Rong

doi:10.13873/J.1000-9787(2017)01-0067-04

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Kinect-based monitoring system for teaching in classroom

更新时间：2025-09-11

- Kinect-based monitoring system for teaching in classroom
- Vol. 36, Issue 1, Pages: 67-70(2017)
- 作者机构：
  
  1. 西北工业大学电子信息学院
  2. 西北工业大学物联网技术及应用国家地方联合工程实验室
  3. 西安交通大学工程坊
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2017)01-0067-04
  CLC： TP274;TP212.9
- Published：2017
- 稿件说明：
移动端阅览
[1]李彬,谢翟,段渭军,杨荣.基于Kinect的课堂教学状态监测系统[J].传感器与微系统,2017,36(01):67-70.

LI Bin, XIE Di, DUAN Wei-jun, et al. Kinect-based monitoring system for teaching in classroom[J]. 2017, 36(1): 67-70.
[1]李彬,谢翟,段渭军,杨荣.基于Kinect的课堂教学状态监测系统[J].传感器与微系统,2017,36(01):67-70. DOI： 10.13873/J.1000-9787(2017)01-0067-04.

LI Bin, XIE Di, DUAN Wei-jun, et al. Kinect-based monitoring system for teaching in classroom[J]. 2017, 36(1): 67-70. DOI： 10.13873/J.1000-9787(2017)01-0067-04.

摘要

课堂上对学生听课效果进行评估的重点是捕捉学生听课行为。本系统利用Kinect传感器获取学生听课过程中的彩色、深度、骨骼点图像来分析学生的上课肢体状态、注意力方向

以此反映学生听课状态。同时

系统利用Kinect麦克风阵列采集到的声源信息来统计课堂回答问题的频度和声源位置。通过对上述信息的综合分析

获取学生上课状态的客观指标

从而对课堂教学评估提供数据支撑。

Abstract

The key to evaluate the listening quality is to monitor the students’ behavior in classroom. This system uses color

depth

and skeleton point image obtained by Kinect sensor to analyze limb state

attention direction

so as to reflect listen state. Meanwhile

the system count of frequency of answering questions in class and sound source location according to sound source information

which is collected by microphone array equipped in Kinect.Through comprehensive analysis on above information

the system can get some objective index of listening state to make data support for classroom teaching evaluation.

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references

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Related Author

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DUAN Wei-jun

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XIE Di

LI Bin

DUAN Wei-jun

YANG Rong

HU Jialing

Related Institution

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