CN105139695A - EEG collection-based method and system for monitoring classroom teaching process - Google Patents

Abstract

The invention provides an EEG collection-based method and a system for monitoring the classroom teaching process, particularly for monitoring the fluctuation condition of students' brain waves during the classroom teaching process. The collection terminals of the system collect the brain wave data of students via brain wave sensors. After being processed and framed, the brain wave data of students are transmitted to a server from a wireless local area network by means of a WiFi module. The monitoring terminal of the system acquires data from the database of the server via the local area network and then displays the brain wave data of all the collection terminals. In this way, the individual fluctuation information and the overall fluctuation information of the collected brain wave data of students can be displayed in real time. The system can provide the real and objective reactions of students during the listening process for teachers, and can also perfectly reproduce the classroom teaching situation for teachers and teaching managers. Therefore, the system provides a real and quantitative data support for the improvement and the evaluation of the classroom training process.

Description

Translated fromChinese

一种基于脑电波采集的课堂教学监测方法及系统A classroom teaching monitoring method and system based on brain wave acquisition

技术领域technical field

本发明涉及一种基于脑电波采集的课堂教学监测方法及系统，主要监测课堂教学中学生脑电波的波动情况，为讲课教师提供学生听课中真实客观的反应。The invention relates to a classroom teaching monitoring method and system based on brainwave collection, which mainly monitors the fluctuations of students' brainwaves in classroom teaching, and provides teachers with real and objective responses during lectures.

背景技术Background technique

从相关文献资料可知，人类的心理活动变化与自身的脑电波变化存在一定的关联，学习过程也是如此。人在专心学习、注意力集中时，大脑频率处于α波（频率范围8-13Hz），此时脑波比较平稳，是人们学习与思考的最佳脑波状态。当学习兴奋，或精神紧张时，大脑频率处于β波（频率范围14Hz以上），此时脑波频率变快，幅度加大，适当的β波对注意力提升以及认知行为的发展有积极作用，但持续时间较短，且易疲劳。当学习疲劳、精神松弛时，大脑频率处于θ波（频率范围4-8Hz），此时脑波整体比较杂乱，且频率逐渐变慢，人的意识逐渐涣散，身体深沉放松，此时对触发深沉记忆、强化长期记忆等帮助极大。It can be seen from relevant literature that changes in human mental activity are related to changes in brain waves, and so is the learning process. When people are concentrating on learning and concentrating, the brain frequency is in the alpha wave (frequency range 8-13Hz). At this time, the brain wave is relatively stable, which is the best brain wave state for people to learn and think. When learning is exciting or mentally tense, the brain frequency is in the β wave (frequency range above 14Hz). At this time, the brain wave frequency becomes faster and the amplitude increases. Appropriate β waves have a positive effect on the improvement of attention and the development of cognitive behavior. , but the duration is short and fatigue-prone. When learning fatigue and mental relaxation, the brain frequency is in theta wave (frequency range 4-8Hz). At this time, the overall brain wave is more chaotic, and the frequency gradually slows down. People's consciousness gradually slackens, and the body is deeply relaxed. Memory, strengthening long-term memory, etc. help a lot.

在课堂教学中，教师在讲课的同时，通常会观察学生的反应，并根据实际情况调整自己的教学方法与方式，从而达到较好的教学效果。如何观察学生的反应，教学经验丰富的教师可以通过学生的面部表情以及肢体动作来大致判断。但这是一种主观判定，会因教师和学生的个体差异受到影响，加上班级学生数量普遍偏多，教师教学水平高低不一，很难及时准确把握整个班级的教学情况。另外，目前对于教师课堂教学评价主要是通过随堂听课来获得，由于是主观评定，与真实的教学效果存在着一定的偏差。In classroom teaching, teachers usually observe students' reactions while lecturing, and adjust their teaching methods and methods according to the actual situation, so as to achieve better teaching effects. How to observe students' reactions, teachers with rich teaching experience can roughly judge through the students' facial expressions and body movements. However, this is a subjective judgment, which will be affected by individual differences between teachers and students. In addition, the number of students in the class is generally too large, and the teaching level of teachers varies. It is difficult to grasp the teaching situation of the entire class in a timely and accurate manner. In addition, at present, the evaluation of teachers' classroom teaching is mainly obtained by listening to lectures in class. Because it is a subjective evaluation, there is a certain deviation from the real teaching effect.

如果在教学过程中，及时采集学生脑电波信息，将学生的专注度和放松度量化，就可以为教师观察学生的反应提供重要的辅助手段，并为教学效果评价提供重要的客观数据支持。而目前脑电波感应器的微型化和低成本化，使这种手段变得容易实现。If during the teaching process, students' brain wave information is collected in time, and students' concentration and relaxation can be quantified, it can provide an important auxiliary means for teachers to observe students' reactions, and provide important objective data support for teaching effect evaluation. The current miniaturization and low cost of brain wave sensors make this method easier to implement.

现有文献中，公开了一些利用脑电波感应器帮助学习和训练的系统，如：中国发明专利申请CN103736284A公开了一种脑电智能钓鱼玩具，使用脑电波传感器采集脑电波，并计算注意力指数，根据注意力指数的变化来控制钓具钓鱼。中国发明专利申请CN104147796A公开了一种脑电智能泡泡机玩具，使用脑电波传感器采集脑电波，并计算注意力指数，根据注意力指数的变化来吹出泡泡。上述两个发明专利是利用脑电波感应器，采用玩具形式来训练提高操作者大脑的注意力，并没有提出利用脑电波信息为教学过程提供帮助的方法和系统。In the existing literature, some systems that use brainwave sensors to help learning and training are disclosed, such as: Chinese invention patent application CN103736284A discloses a brainwave intelligent fishing toy, which uses brainwave sensors to collect brainwaves and calculates the attention index , according to the change of the attention index to control the fishing tackle. Chinese invention patent application CN104147796A discloses an EEG intelligent bubble machine toy, which uses an EEG sensor to collect EEG, calculates the attention index, and blows bubbles according to the change of the attention index. The above two invention patents use brain wave sensors to train and improve the operator's brain attention in the form of toys, but do not propose a method and system for using brain wave information to help the teaching process.

中国实用新型专利CN203242184U公开了一种无线移动学习的远程虚拟教师系统，通过采集脑电波、皮温和脉搏信息送至远端管理平台，根据分析比对完成对学习者的管理与监督。该实用新型主要是用于帮助学习者了解自身在学习过程中的学习效果，以提高学习者自主学习的效率。该专利实际使用对象为学习者，未提出以教师为使用对象的信息，也未公开如何通过采集分析脑电波数据为教师的课堂教学提供辅助和评价的方法或系统。Chinese utility model patent CN203242184U discloses a remote virtual teacher system for wireless mobile learning, which collects brain waves, skin temperature and pulse information and sends them to the remote management platform, and completes the management and supervision of learners based on analysis and comparison. The utility model is mainly used to help learners understand their own learning effects in the learning process, so as to improve the efficiency of learners' autonomous learning. The patent is actually used for learners, and does not propose information about teachers as the object of use, nor does it disclose how to provide assistance and evaluation methods or systems for teachers' classroom teaching by collecting and analyzing brain wave data.

发明内容Contents of the invention

为解决课堂教学中教师无法及时客观获取学生的学习状况，本发明提出了一种基于脑电波采集的课堂教学监测方法及系统，通过实时获取被检测学生的脑电波数据，成为教师教课的重要辅助工具。In order to solve the problem that teachers cannot objectively obtain the learning status of students in a timely manner during classroom teaching, the present invention proposes a classroom teaching monitoring method and system based on brain wave collection. By acquiring the brain wave data of the detected students in real time, it becomes an important tool for teachers to teach. Auxiliary tools.

本发明的课堂教学监测系统的技术方案如下：The technical scheme of classroom teaching monitoring system of the present invention is as follows:

该系统包括用于脑电波感应与传输的采集终端、用于构建无线局域网络的无线路由器、用于存储脑电波数据的服务器、用于为讲课教师提供分析数据的监测终端和用于记录课堂情况的网络摄像器。The system includes a collection terminal for brain wave induction and transmission, a wireless router for building a wireless local area network, a server for storing brain wave data, a monitoring terminal for providing analysis data for lecturers, and a monitoring terminal for recording classroom conditions. webcam.

其采集终端包括脑波感应器、微处理器模块、WIFI模块，其中：微处理器模块通过脑波感应器获取被采集学生的脑电波数据，经过处理组帧后，经WIFI模块从无线局域网送至服务器。服务器运行有数据转换处理模块，将采集终端上传的脑波数据解析并存入数据库中。监测终端经局域网从服务器的数据库中获取并显示各采集终端的脑波数据，为讲课教师实时提供被采集学生脑电波的个体波动信息和整体波动信息。网络摄像器安装于课堂的多个位置，记录教师和被采集学生教与学的过程；网络摄像器的记录时间与所述服务器系统时间同步。Its acquisition terminal includes brainwave sensor, microprocessor module, and WIFI module, wherein: the microprocessor module obtains the brainwave data of the students to be collected through the brainwave sensor, and after processing and framing, the WIFI module transmits the brainwave data from the wireless local area network. to the server. The server runs a data conversion processing module, which analyzes and stores the electroencephalogram data uploaded by the acquisition terminal into the database. The monitoring terminal obtains and displays the brainwave data of each collection terminal from the database of the server through the local area network, and provides the lecturer with real-time individual fluctuation information and overall fluctuation information of the collected students' brainwaves. Network cameras are installed in multiple positions in the classroom to record the teaching and learning process of teachers and collected students; the recording time of network cameras is synchronized with the server system time.

其个体波动信息包括被采集学生课堂上专注度指数和放松度指数的变化情况，并显示在监测终端的软件界面上；当某个被采集学生的所述专注度指数低于设定下限值，将显示该学生注意力不集中的警示；当某个被采集学生的所述放松度指数低于设定下限值，将显示该学生过于紧张的警示；当某个被采集学生的所述放松度指数高于设定上限值，将显示该学生过于放松的警示。Its individual fluctuation information includes changes in the concentration index and relaxation index of the collected students in class, and is displayed on the software interface of the monitoring terminal; when the concentration index of a collected student is lower than the set lower limit , will display the warning that the student is not concentrating; when the relaxation index of a certain collected student is lower than the set lower limit, it will display the warning that the student is too nervous; If the relaxation index is higher than the set upper limit, it will display the warning that the student is too relaxed.

其整体波动信息为所有被采集学生课堂上专注度均值和放松度均值的曲线图，显示在监测终端的软件界面上；当专注度均值低于设定下限值，将显示学生整体注意力不集中的警示；当放松度均值低于设定下限值，将显示学生整体过于紧张的警示；当放松度均值高于设定上限值，将显示学生整体过于放松的警示。Its overall fluctuation information is a graph of the average concentration and relaxation of all collected students in class, which is displayed on the software interface of the monitoring terminal; Concentrated warning; when the average relaxation degree is lower than the set lower limit, it will display the warning that the students are too nervous as a whole; when the average relaxation degree is higher than the set upper limit, it will display the warning that the students are too relaxed as a whole.

本发明实时存储并显示被测个体与整体的脑电波相关指数异常的情况，为教师及时了解学生思维情况提供了客观数据支持。系统采用无线局域网组建网络，还具备了组网灵活和采集便捷的特点。The invention stores and displays in real time the abnormality of the brain wave correlation index of the measured individual and the whole, and provides objective data support for teachers to know students' thinking conditions in time. The system adopts wireless local area network to build a network, which also has the characteristics of flexible networking and convenient collection.

附图说明Description of drawings

图1为本发明的课堂教学监测系统整体架构示意图。FIG. 1 is a schematic diagram of the overall architecture of the classroom teaching monitoring system of the present invention.

具体实施方式Detailed ways

为使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

本发明的课堂教学监测系统的整体架构示意图如图1所示，包括用于脑电波感应与传输的采集终端、用于构建无线局域网络的无线路由器、用于存储脑电波数据的服务器、用于为讲课教师提供分析数据的监测终端和用于记录课堂情况的网络摄像器。The overall structure diagram of the classroom teaching monitoring system of the present invention is shown in Figure 1, including a collection terminal for brain wave induction and transmission, a wireless router for building a wireless local area network, a server for storing brain wave data, and a Provide teachers with monitoring terminals for analyzing data and network cameras for recording classroom situations.

其中，采集终端包括脑波感应器、微处理器模块、WIFI模块，微处理器模块通过脑波感应器获取被采集学生的脑电波数据，经过处理组帧后，经WIFI模块从无线局域网送至服务器。服务器则运行有数据转换处理模块，将采集终端上传的脑波数据解析并存入数据库中。而监测终端经局域网从服务器的数据库中获取并显示各采集终端的脑波数据，为讲课教师实时提供被采集学生脑电波的个体波动信息和整体波动信息。网络摄像器安装于课堂的多个位置，记录教师和被采集学生教与学的过程。此外，网络摄像器的记录时间与所述服务器系统时间同步。Among them, the acquisition terminal includes a brain wave sensor, a microprocessor module, and a WIFI module. The microprocessor module obtains the brain wave data of the collected students through the brain wave sensor. server. The server runs a data conversion processing module to analyze and store the brain wave data uploaded by the acquisition terminal into the database. The monitoring terminal obtains and displays the brainwave data of each collection terminal from the database of the server through the local area network, and provides the teacher with real-time individual fluctuation information and overall fluctuation information of the collected students' brainwaves. Network cameras are installed in multiple locations in the classroom to record the teaching and learning process of teachers and captured students. In addition, the recording time of the network camera is synchronized with the server system time.

在课堂教学开始前，启动教室的无线局域网络，全部或部分学生佩戴移动式采集终端并开始采集，启动网络摄像器并对准这些被测试学生和讲课教师，服务器上开启数据转换处理模块，讲课教师打开教师电脑中的监测终端软件，完成系统启动准备工作。Before the classroom teaching starts, start the wireless local area network of the classroom, all or some students wear mobile collection terminals and start collecting, start the network camera and point it at these tested students and lecturers, open the data conversion processing module on the server, and give lectures The teacher opens the monitoring terminal software in the teacher's computer to complete the preparations for system startup.

目前的脑电波传感器可以直接提取被测试者的α波、β波和θ波的能量值，并依据这些信息自动分析获得量化的专注度指数和放松度指数，其判定精确度较高，但对脑电波信号质量要求较高。The current brain wave sensor can directly extract the energy values of the α wave, β wave and θ wave of the subject, and automatically analyze and obtain the quantified concentration index and relaxation index based on this information. EEG signal quality requirements are high.

在采集的脑电波信号质量稍差，无法实现自动分析时，可采用预先采集一段时间的样本脑波数据，设定其有效的α波能量最大采集值为专注度指数100；设定其有效的θ波能量最大采集值为放松度指数100。这样，专注度指数值由实际测量的α波能量值按比例线性量化计算而来，放松度指数值也由实际测量的θ波能量值按比例线性量化计算而来。该判定方法，根据α波和θ波能量值直接计算，未考虑其它波段的脑波对其指数值的影响，故判定精确度稍低。When the quality of the collected brain wave signal is slightly poor and automatic analysis cannot be realized, the sample brain wave data collected for a period of time can be used in advance, and the maximum collection value of its effective α wave energy is set to 100 for concentration index; set its effective The maximum collection value of θ wave energy is 100 for relaxation index. In this way, the concentration index value is calculated from the actual measured α wave energy value and the relaxation index value is also calculated from the actual measured θ wave energy value. This judgment method is directly calculated according to the energy values of α-wave and θ-wave, without considering the influence of brain waves of other bands on its index value, so the judgment accuracy is slightly lower.

在课堂教学中，采集终端持续采集被测试学生脑电波信息经无线局域网送至服务器，服务器的数据转换处理模块先直接从脑电波传感器上传的信息中获取α波、β波和θ波的能量值以及专注度指数和放松度指数；当专注度指数和放松度指数为0，即无无法实现自动分析判定时，采用按比例线性量化计算出专注度指数和放松度指数；再将上述数据存入数据库中，从而保证整个系统采集数据的完整性。In classroom teaching, the acquisition terminal continuously collects the brain wave information of the students being tested and sends it to the server through the wireless local area network. The data conversion processing module of the server first obtains the energy values of α wave, β wave and θ wave directly from the information uploaded by the brain wave sensor. And concentration index and relaxation index; when the concentration index and relaxation index are 0, that is, when no automatic analysis and judgment cannot be realized, the concentration index and relaxation index are calculated by proportional linear quantification; and then the above data are stored in In the database, thereby ensuring the integrity of the data collected by the entire system.

教师电脑中的监测终端软件一方面实时获取数据库中的最新采集数据，并实时更新显示各个被测学生专注度指数和放松度指数。对于某个学生出现专注度指数低于设定下限值、放松度指数低于设定下限值以及放松度指数高于设定上限值的情况，将以不同形式在软件界面中警示。教师可以迅速地看到哪些同学有注意力不集中、过于紧张或过于放松的情况。On the one hand, the monitoring terminal software in the teacher's computer obtains the latest data collected in the database in real time, and updates and displays the concentration index and relaxation index of each tested student in real time. For a student whose concentration index is lower than the set lower limit, relaxation index is lower than the set lower limit, and relaxation index is higher than the set upper limit, it will be alerted in different forms in the software interface. Teachers can quickly see which students are inattentive, overly nervous or overly relaxed.

另一方面，监测终端软件将所有被测学生的最新采集数据求均值，并以折线图的形式显示，折线图的横坐标为时间轴，折线图的纵坐标为专注度均值和放松度均值。教师可以直观地看到被测学生整体专注度和放松度的波动情况。On the other hand, the monitoring terminal software averages the latest collected data of all the tested students and displays it in the form of a line graph. The abscissa of the line graph is the time axis, and the ordinate of the line graph is the average concentration and relaxation. Teachers can intuitively see the fluctuations in the overall concentration and relaxation of the tested students.

作为上述课堂教学监测方法的改进实施例，在课堂教学开始之前，安排学生短时间的静息，同时采集学生的脑电波信息，并以此数据作为课堂教学中采集数据分析的参照数据。在课堂教学中，采集并分析得出的专注度指数和放松度指数都是相对值，即实时数据与参照数据的比值。这种方法可以有效减少脑电波采集数据因个体差异引起的误差。As an improved embodiment of the above-mentioned classroom teaching monitoring method, before the classroom teaching starts, students are arranged to rest for a short time, and at the same time, the students' brain wave information is collected, and this data is used as reference data for data analysis in classroom teaching. In classroom teaching, the concentration index and relaxation index collected and analyzed are relative values, that is, the ratio of real-time data to reference data. This method can effectively reduce errors caused by individual differences in brain wave acquisition data.

综上可见，根据上述课堂教学监测方法设计的课堂教学监测系统，能够将脑电波感应装置应用于课堂教学过程中，为完善教学过程提供了一种崭新的客观的监测方法与装置。In summary, the classroom teaching monitoring system designed according to the above classroom teaching monitoring method can apply the brain wave sensing device to the classroom teaching process, providing a new objective monitoring method and device for improving the teaching process.

该系统具备了课堂辅助功能，可以实时提供哪些学生的思维出现了波动，讲课教师可以据此及时提醒这些学生；还可以实时提供整个班级的思维出现了波动，讲课教师可以据此及时提醒全班学生或调整教学方法。The system has a classroom auxiliary function, which can provide real-time information about which students' thinking has fluctuated, and the lecturer can remind these students in time; it can also provide real-time information about the fluctuation of the thinking of the entire class, and the lecturer can promptly remind the whole class based on this students or adjust teaching methods.

此外，系统还具备了课后回溯功能，存储在数据库中被测学生的脑电波信息，结合网络摄像器录下的课堂视频，可以为教师及教学管理者完整地重现课堂教学情景，为课堂教学过程的改进和评价提供了真实的量化的数据支持。In addition, the system also has the function of backtracking after class. The brain wave information of the tested students is stored in the database, combined with the classroom video recorded by the network camera, it can completely reproduce the classroom teaching situation for teachers and teaching managers, and provide a better way for the classroom. The improvement and evaluation of the teaching process provides real quantitative data support.

以上所述仅为本发明的优选实施方式，本发明的保护范围并不仅限于上述实施方式，凡是属于本发明原理的技术方案均属于本发明的保护范围。对于本领域的技术人员而言，在不脱离本发明原理的前提下进行的若干改进和润饰，这些改进和润饰也应视为本发明的保护范围。The above descriptions are only preferred implementations of the present invention, and the scope of protection of the present invention is not limited to the above-mentioned implementations. All technical solutions belonging to the principle of the present invention belong to the scope of protection of the present invention. For those skilled in the art, some improvements and modifications made on the premise of not departing from the principle of the present invention, these improvements and modifications should also be regarded as the protection scope of the present invention.

Claims (4)

Translated fromChinese

1.一种基于脑电波采集的课堂教学监测方法，其特征在于：在课堂教学中实时采集学生的脑电波信息，通过分析为讲课教师提供被采集学生脑电波的个体波动信息和整体波动信息；1. A classroom teaching monitoring method based on brain wave collection, characterized in that: in the classroom teaching, the brain wave information of the students is collected in real time, and the individual fluctuation information and the overall fluctuation information of the collected student's brain wave are provided for the lecturer by analysis;所述个体波动信息包括被采集学生课堂上专注度指数和放松度指数的变化情况；当某个被采集学生的所述专注度指数低于设定下限值，判定为该学生注意力不集中；当某个被采集学生的所述放松度指数低于设定下限值，判定为该学生过于紧张；当某个被采集学生的所述放松度指数高于设定上限值，判定为该学生过于放松；The individual fluctuation information includes changes in the concentration index and relaxation index of the collected students in class; when the concentration index of a collected student is lower than the set lower limit, it is determined that the student is not concentrating ; When the relaxation index of a collected student is lower than the set lower limit, it is judged that the student is too nervous; when the relaxation index of a certain collected student is higher than the set upper limit, it is judged as the student is too relaxed;所述整体波动信息包括所有被采集学生课堂上专注度均值和放松度均值的变化情况；当专注度均值低于设定下限值，判定为学生整体注意力不集中；当放松度均值低于设定下限值，判定为学生整体过于紧张；当放松度均值高于设定上限值，判定为学生整体过于放松。The overall fluctuation information includes the changes of the mean value of concentration and relaxation of all collected students in class; when the mean value of concentration is lower than the set lower limit, it is determined that the student's overall inattention is not concentrated; when the mean value of relaxation is lower than If the lower limit is set, it is judged that the students are too nervous as a whole; when the average relaxation degree is higher than the set upper limit, it is judged that the students are too relaxed as a whole.2.根据权利要求1所述的课堂教学监测方法，其特征在于：在课堂教学开始之前，安排学生短时间的静息，同时采集学生的脑电波信息，作为参照数据；在课堂教学中，所述专注度指数和放松度指数都是相对值，即实时数据与参照数据的比值。2. the classroom teaching monitoring method according to claim 1, is characterized in that: before classroom teaching starts, arrange students to rest for a short time, gather the brain wave information of students simultaneously, as reference data; In classroom teaching, all Both the concentration index and the relaxation index are relative values, that is, the ratio of the real-time data to the reference data.3.一种基于脑电波采集的课堂教学监测系统，其特征在于：3. A classroom teaching monitoring system based on brain wave collection, characterized in that:所述系统包括用于脑电波感应与传输的采集终端、用于构建无线局域网络的无线路由器、用于存储脑电波数据的服务器、用于为讲课教师提供分析数据的监测终端和用于记录课堂情况的网络摄像器；The system includes an acquisition terminal for brain wave induction and transmission, a wireless router for building a wireless local area network, a server for storing brain wave data, a monitoring terminal for providing analysis data for lecturers, and a monitoring terminal for recording classroom situational webcam;所述采集终端包括脑波感应器、微处理器模块、WIFI模块，所述微处理器模块通过脑波感应器获取被采集学生的脑电波数据，经过处理组帧后，经WIFI模块从无线局域网送至服务器；The collection terminal includes an electroencephalogram sensor, a microprocessor module, and a WIFI module. The microprocessor module obtains the brainwave data of the collected students through the electroencephalogram sensor. sent to the server;所述服务器运行有数据转换处理模块，将采集终端上传的脑波数据解析并存入数据库中；The server runs with a data conversion processing module, which analyzes and stores the electroencephalogram data uploaded by the acquisition terminal into the database;所述监测终端经局域网从服务器的数据库中获取并在监测终端显示各采集终端的脑波数据，为讲课教师实时提供被采集学生脑电波的个体波动信息和整体波动信息；The monitoring terminal obtains from the database of the server via the local area network and displays the electroencephalogram data of each acquisition terminal on the monitoring terminal, and provides the individual fluctuation information and the overall fluctuation information of the collected students' electroencephalogram for the lecturer in real time;所述网络摄像器安装于课堂的多个位置，记录教师和被采集学生教与学的过程；所述网络摄像器的记录时间与所述服务器系统时间同步；The network camera is installed in multiple positions of the classroom, recording the process of teaching and learning of the teacher and the collected students; the recording time of the network camera is synchronized with the server system time;所述个体波动信息包括被采集学生课堂上专注度指数和放松度指数的变化情况，并在监测终端显示；当某个被采集学生的所述专注度指数低于设定下限值，将显示该学生注意力不集中的警示；当某个被采集学生的所述放松度指数低于设定下限值，将显示该学生过于紧张的警示；当某个被采集学生的所述放松度指数高于设定上限值，将显示该学生过于放松的警示；The individual fluctuation information includes changes in the concentration index and relaxation index of the collected students in class, and is displayed on the monitoring terminal; when the concentration index of a collected student is lower than the set lower limit, it will be displayed A warning that the student is not concentrating; when the relaxation index of a certain collected student is lower than the set lower limit, a warning that the student is too nervous will be displayed; when a certain collected student's relaxation index If it is higher than the set upper limit, it will show the warning that the student is too relaxed;所述整体波动信息为所有被采集学生课堂上专注度均值和放松度均值的曲线图，在监测终端上显示；当专注度均值低于设定下限值，将显示学生整体注意力不集中的警示；当放松度均值低于设定下限值，将显示学生整体过于紧张的警示；当放松度均值高于设定上限值，将显示学生整体过于放松的警示。The overall fluctuation information is a graph of the mean value of concentration and relaxation of all collected students in the classroom, which is displayed on the monitoring terminal; when the mean value of concentration is lower than the set lower limit, it will display the overall inattention of the students. Warning; when the average relaxation degree is lower than the set lower limit, it will display the warning that the students are too tense as a whole; when the relaxation average is higher than the set upper limit, it will display the warning that the students are too relaxed as a whole.4.根据权利要求3所述的课堂教学监测系统，其特征在于：在课堂教学开始之前，安排学生短时间的静息，同时采集学生的脑电波信息，作为参照数据；在课堂教学中，所述专注度指数和放松度指数都是相对值，即实时数据与参照数据的比值。4. The classroom teaching monitoring system according to claim 3, characterized in that: before the classroom teaching begins, students are arranged to rest for a short time, and the brain wave information of the students is collected simultaneously as reference data; in the classroom teaching, all Both the concentration index and the relaxation index are relative values, that is, the ratio of the real-time data to the reference data.