CN102663347B - Students ' Learning behavior gather and analysis system and method thereof - Google Patents
Students ' Learning behavior gather and analysis system and method thereof Download PDFInfo
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- CN102663347B CN102663347B CN201210076652.4A CN201210076652A CN102663347B CN 102663347 B CN102663347 B CN 102663347B CN 201210076652 A CN201210076652 A CN 201210076652A CN 102663347 B CN102663347 B CN 102663347B
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Abstract
The invention belongs to wireless communication technology field, be specifically related to a kind of Students ' Learning behavior gather and analysis system and method, the learning behavior data real-time automatic recording device that its system comprises outer computer and is connected with outer computer, described learning behavior data real-time automatic recording device can gather human body acceleration information, and human body acceleration information is passed to computing machine analysis, learning behavior data real-time automatic recording device comprises: action collecting unit, clock unit, storage unit, communication unit and intellectual analysis and processing unit, intellectual analysis and processing unit by its input/output port respectively with action collecting unit, storage unit, clock unit and communication unit are connected, and the action coordinated between them, which obviate and need all to wear the inconvenience of harvester with uncomfortable to the multiple position of human body, and pass through character trait and the learning behavior custom of analyzing student, sound development for student provides correct guiding, reach and avoid tending to go overboard on one or some subjects.
Description
Technical field
The invention belongs to wireless communication technology field, particularly relate to a kind of Students ' Learning behavior gather and analysis system and method based on acceleration transducer.
Background technology
Student is the main body of education activities, and classroom instruction is a most important link in students'learning.How student's subjective role in education activities plays, and directly affects the height of quality of instruction.And the learning behavior of monitoring student be analyze students'learning the most effectively, the most direct method.Therefore, by gather and the learning behavior recording student carrys out the learning actuality of research and analysis student, solving targetedly, is the key improving Talents Quality.Existing human body behavioural characteristic recognition device and method are mainly used in medical domain, security fields, Sports Field etc.As at medical domain, understand its symptom by the characteristic behavior analyzing patient; Judge that it is with or without danger in security fields by the peculiar behavior analyzing human body in high sensitive area; At the various passometers of Sports Field, by analyzing the amount of exercise etc. of human body to the counting of human body paces.But these disclosed apparatus and method all can not carry out gathering and analyzing for Students ' Learning behavior.
According to State Patent Office's retrieval center patent consulting, have for human action identification based on acceleration transducer human body movement recognition system and method, application number is: 200910184850.0, and publication number is: CN101694693.It is mainly used in the Real time identification of human action, wears a sub-means respectively, gather human body acceleration information and be passed to computing machine analysis, thus identifying human action by the four limbs and neck giving human body.But it is mainly used in the action classification identifying human body current generation, can not carry out long record and analysis for the learning behavior of student, so gather and analyze the learning behavior of student, and then show that the study situation of student is not its function; Moreover it needs to the neck of people, upper limbs and lower limb all wear harvester, are not suitable for wearing for a long time, are especially not suitable for student and wear, use inconvenience; Meanwhile, its analytic process needs the data of multiple harvester to combine, and comparatively bothers and is not easy to realize.Make so to be undoubtedly greatly limited based on range of application of this invention of acceleration transducer human body movement recognition system and method and occasion.
Summary of the invention
A technical matters to be solved by this invention is to overcome the above-mentioned shortcoming based on acceleration transducer human body movement recognition system and method, and providing a kind of can carry out analyzing and healthy, the portable Students ' Learning behavior gather and analysis system recording, help the study situation of the head of a family and the timely students ' of teacher, analyze the performance of student on classroom, do not affect student on learning behavior automatically.
Another technical matters to be solved by this invention is to provide a kind of method using the behavior of Students ' Learning behavior gather and analysis system to student to analyze.
The technical scheme solving the problems of the technologies described above employing is: the learning behavior data real-time automatic recording device comprising outer computer and be connected with outer computer; Learning behavior data real-time automatic recording device of the present invention can gather human body acceleration information, and human body acceleration information is passed to computing machine analysis.
Learning behavior data real-time automatic recording device of the present invention comprises: action collecting unit, for gathering human body acceleration information, and output action signal, described action collecting unit is acceleration transducer; Clock unit, for whole device provides temporal information, and the behavioral data collected for acceleration transducer provides time mark; Storage unit, for storage system configuration information, learning behavior characteristic of division storehouse and learning behavior signature analysis result; Communication unit, is connected with outer computer, for the result of intellectual analysis and processing unit is transferred to outer computer, and receives the instruction that outer computer sends, and realizes the setting of configuration information and the renewal of learning behavior class library and upgrading; Intellectual analysis and processing unit, be connected with action collecting unit, storage unit, clock unit and communication unit respectively by its input/output port, and coordinate the action between them.
System configuration information of the present invention comprises student name, student number, curriculum schedule, the attending class and play time, device automatic opening time and automatic shut-in time of every class; Learning behavior class library comprises race, jumping in an initial condition, walks, rocks, stands up, sits down, static behavior act; Communication unit of the present invention is connected with outer computer by USB interface, bluetooth, wifi, GPRS, Zigbee.
Present invention also offers a kind of method using above-mentioned Students ' Learning behavior gather and analysis system, be made up of following steps:
1) start up system, judges whether to connect outer computer, if so, then carry out step 2), if not, then carry out step 3).
2) system configuration, arranges student name, student number, curriculum schedule, system automatic opening time and automatic shut-in time, and carries out system time synchronization.
3) initialization is carried out to system, data analysis mark is removed.
4) data analysis process is started.
5) setting data gathers interrupt handling routine.
6) judge whether system terminates, if terminate, then log off, otherwise continue to judge.
Method of the present invention also comprises step 7) external analysis program, the data record of storage is sent to outer computer and is further analyzed, analytic process, in conjunction with timetable arrangement, is analyzed for different courses and break.
Above-mentioned step 7) specifically:
7.1) by system configuration information and time synchronizing information to learning behavior data real-time automatic recording device.
7.2), after obtaining data records, divide into groups to data record according to the attending class of curriculum schedule and every class, play time, the data record with kind course is divided into one group.
7.3) the data record after grouping is stored in Computer Database;
7.4) by the data intelligence processing method for course to often organizing data analysis;
7.5) by analysis result stored in database, terminate program.
Step 4 of the present invention) specifically:
4.1) judge the whether set of data analysis mark, if set, then enter step 4.2), otherwise, repeat 4.1).
4.2) according to the time tag in data cell, to data framing, and the feature of each Frame is calculated.
4.3) is compared in the characteristic of division storehouse in frame sequence feature and storage unit, determine action classification.
4.4), after adding time tag, data record is formed, and stored in storage unit.
4.5) know data analysis mark, return step 4.1).
Step 4.2 of the present invention) in the feature of Frame refer to operating frequency, intensity, direction and duration.Step 4.3 of the present invention) in action classification refer to race, jumping, walk, rock, stand up, to sit down and static.Step 4.4 of the present invention) in data record comprise actuation time, action classification, direction of action, mean intensity, frequency and duration.
Step 5 of the present invention) specifically:
5.1) clock information is read.
5.2) obtain sensing data, add time tag, form a data cell, point to memory location stored in Current data acquisition buffer pointer.
5.3) judge that whether buffer zone is full, if buffer zone is full, then carry out step 5.4) to 5.6); Otherwise, then carry out step 5.7).
5.4) data acquisition buffer data is copied to data analysis buffer zone.
5.5) data acquisition buffer pointer is pointed to buffer zone stem.
5.6) put data analysis zone bit, terminate program.
5.7) data acquisition buffer pointer is pointed to next memory location, terminate program.
Step 5.2 of the present invention) in data cell comprise time tag, x acceleration, y acceleration and z acceleration.
The present invention has the following advantages:
1, learning behavior data real-time automatic recording device is fixed on the waist of human body by the present invention, by the acceleration transducer in collecting unit, automatic acquisition human body behavioral data, and by data analysis process, achieve the classification of learning behavior, and automatically by analysis result according to classification stored in storer, avoid and need all to wear the inconvenience of harvester with uncomfortable to the multiple position of human body, and by extracting multiple eigenwert and contrasting with feature database, obtain analysis result accurately, avoid and the data that acceleration information analysis causes are carried out to the multiple position of human body combine difficulty, the defects such as workload is various.
2, system of the present invention adopts interrupt mode process data acquisition, when waist produces motion, namely bring out interruption when acceleration transducer has data to export, CPU automatic turn-on data collection after receiving look-at-me of intellectual analysis and processing unit, reaches the effect of power saving.
3, system of the present invention opened and closed automatically according to unlatching, the shut-in time arranged, also can manually opened, close, easy to use; And the learning behavior characteristic of division storehouse of depositing in storage unit is obtained by the methods analyst learning sample of machine learning, this feature database is renewable, is convenient to system upgrade.
4, external analysis program of the present invention adopts and analyzes respectively for the data record of data intelligence processing method to difference group of course, draw this student performance on different classroom and after class and analysis result can be sent to parents of student, analysis result is preserved in a database, teacher and student originally can check per capita at any time, help the study situation of the head of a family and the timely students ' of teacher, analyze character trait and the learning behavior custom of student, sound development for student provides correct guiding, reach and avoid tending to go overboard on one or some subjects, the target of all round development of morality, intelligence and physique, for education of science provides support.
5, the present invention does not affect student and learns normally and live, and automatically analyze and record learning behavior, less by surrounding environment influence, adaptability is stronger.
Accompanying drawing explanation
Fig. 1 is learning behavior gather and analysis system logic block diagram of the present invention.
Fig. 2 is learning behavior gather and analysis method workflow diagram of the present invention.
Fig. 3 is data analysis process works process flow diagram of the present invention.
Fig. 4 is data acquisition interrupt handling routine workflow diagram of the present invention.
Fig. 5 is external analysis program work process flow diagram of the present invention.
Embodiment
Below in conjunction with accompanying drawing and each embodiment, the present invention is described in more detail, but the invention is not restricted to these embodiments.
As shown in Figure 1, Students ' Learning behavior gather and analysis system of the present invention, is connected and composed by outer computer and learning behavior data real-time automatic recording device.
Outer computer can be default correct date, time, curriculum schedule and the information such as student name, student number; When system initialization, the class period of curriculum schedule and every class and play time, student name and student number are synchronized to learning behavior operating data recording device.
Learning behavior data real-time automatic recording device is fixed on the waist of human body, automatically the acceleration change of human body waist movement generation and the time of generation can be recorded, simultaneously by the intellectual analysis to record data, determine action classification, and analysis result is passed to outer computer is further analyzed.The learning behavior data real-time automatic recording device of the present embodiment is connected and composed by action collecting unit, intellectual analysis and processing unit, storage unit, clock unit and communication unit, and intellectual analysis is connected with action collecting unit, storage unit, clock unit and communication unit by its input/output port respectively with processing unit.
Action collecting unit adopts acceleration transducer, and the mode of motion that human body is dissimilar, all can produce different acceleration change corresponding to waist, and after device is opened, acceleration transducer is in acquisition state, whether produces motion for responding to human body waist; If there is motion, then acceleration transducer output action signal.
Clock unit for whole device provide year, month, day, hour, min, second temporal information, the behavioral data collected for acceleration transducer provides time mark, and it can keep normal work under system power supply interruption status.
Storage unit is by nonvolatile memory storage system configuration information, learning behavior characteristic of division storehouse and learning behavior signature analysis result.Wherein system configuration information comprises student name, student number, curriculum schedule, the attending class and play time, device automatic opening time and automatic shut-in time of every class, learning behavior class library comprises race in an initial condition, jump, walk, rock, stand up, sit down, the behavior act of 8 kinds such as static and other action, its be one renewable, upgradeable behavioural information tagsort storehouse, it is obtained by machine learning method analytic learning sample, first the sample data of some behavior acts is gathered, learning behavior characteristic of division storehouse can be formed with these samples of methods analyst of machine learning after extracting eigenwert, the behavioral data collected is after framing and calculating eigenwert, by comparing with learning behavior characteristic of division storehouse, the classification of the behavior can be drawn.
Intellectual analysis and processing unit receive the look-at-me that acceleration transducer produces, and respond it, are saved in storage unit after the exercise data of acquisition is added time tag as requested; Carry out, in short-term apart from analyzing, calculating the characteristic parameters such as the frequency of action generation, the duration of every section of action and action intensity to the exercise data obtained simultaneously; It adopts pattern classification intelligent algorithm or other algorithm to be compared by the sample in the learning behavior characteristic of division storehouse in analysis result and storage unit afterwards, determines behavior classification.
Communication unit is also connected with outer computer simultaneously, it includes the wired or wireless communication module such as USB interface, bluetooth, wifi, GPRS, Zigbee, result can be transferred to outer computer, and receive the instruction that outer computer sends, the setting of the configuration information in storage unit and the renewal of learning behavior class library and upgrading can be realized simultaneously.
The method using Students ' Learning behavior gather and analysis system as shown in Figure 2, comprises following performing step:
Step 1: after system starts, judges whether to connect outer computer, if so, then enters step 2, otherwise enter step 3; Described system automatically opens and closes the time and can arrange, as unlatching morning 8, and closedown at 9 in evening; System opened and closed automatically according to the opening time arranged and shut-in time, also manually can carry out switch.
Step 2: be configured system, comprises and arranges student name, student number, curriculum schedule, system automatic opening time and automatic shut-in time etc., and carry out system time synchronization.
Step 3: carry out initialization to hardware system and software systems, clear data analysis mark.
Step 4: start data analysis process; See Fig. 3, data analysis process is specifically realized by following steps.
Step 4.1: judge the whether set of data analysis mark, if set, then enter step 4.2, otherwise, repeat step 4.1.
Step 4.2: according to the time tag in data cell, to data framing, and calculate the feature of each Frame, comprise operating frequency, intensity, direction, the duration etc.
Step 4.3: compared in the characteristic of division storehouse in frame sequence feature and storage unit, determine action classification, comprises race, jumping, walks, rocks, stands up, sits down, static and other action 8 kinds.
Step 4.4: after adding time tag, forms data record, i.e. actuation time, action classification, direction of action, mean intensity, frequency and the duration, and by it stored in storage unit.
Step 4.5: know data analysis mark, returns step 4.1 afterwards again and restarts data analysis.
Step 5: setting data gathers interrupt handling routine; Apply a data acquisition buffer district and a data analysis buffers, add time tag first will to the sensing data obtained, namely record the time that this action occurs, then sensing data and time tag are formed a data cell, stored in data acquisition buffer zone; Acquisition buffer district completely after all data Replicas are analyzed to analysis buffers, meanwhile, acquisition buffer district continuation stored in new data cell, before stored in data cell by again stored in data cell cover.See Fig. 4, it is specifically realized by following steps.
5.1) clock information is read.
5.2) obtain sensing data, add time tag, form a data cell, stored in the memory location that Current data acquisition buffer pointer is pointed to; Data cell comprises time tag, x acceleration, y acceleration and z acceleration etc.;
5.3) judge that whether buffer zone is full, if buffer zone is full, then carry out step 5.4) to 5.6); Otherwise, then carry out step 5.7).
5.4) data acquisition buffer data is copied to data analysis buffer zone.
5.5) data acquisition buffer pointer is pointed to buffer zone stem.
5.6) put data analysis zone bit, terminate program.
5.7) data acquisition buffer pointer is pointed to next memory location, terminate program.
Step 6: judge whether system terminates, if terminate, then logs off, otherwise continues to judge.
Step 7: external analysis program, is sent to outer computer by the data record in storage unit and is further analyzed, and analytic process, in conjunction with timetable arrangement, is analyzed for different courses and break.See Fig. 5, it is specifically realized by following steps:
Step 7.1: by system configuration information and time synchronizing information to learning behavior data real-time automatic recording device.
Step 7.2: after obtaining data records, divide into groups to data record according to the attending class of curriculum schedule and every class, play time, the data record with kind course is divided into one group.
Step 7.3: the data record after grouping is stored in Computer Database.
Step 7.4: by the data intelligence processing method for course to often organizing data analysis.
Step 7.5: by analysis result stored in database, terminates program.
Learning behavior gather and analysis method of the present invention utilizes automatic data collection interrupt handling routine and data analysis process automatically can gather the learning behavior data of student and carry out analyzing and store, and apply external analysis process and carry out further classification analysis, for the learning behavior custom of student or pattern analysis provide a kind of new method.Learning behavior gather and analysis method of the present invention is not limited only to the above embodiments.
Claims (3)
1. utilize Students ' Learning behavior gather and analysis system to carry out a method for behavior gather and analysis, wherein, this system comprises:
Action collecting unit, for gathering human body acceleration information, and output action signal, described action collecting unit is acceleration transducer;
Clock unit, for whole device provides temporal information, and the behavioral data collected for acceleration transducer provides time mark;
Storage unit, for storage system configuration information, learning behavior characteristic of division storehouse and learning behavior signature analysis result;
Communication unit, is connected with outer computer, for the result of intellectual analysis and processing unit is transferred to outer computer, and receives the instruction that outer computer sends, and realizes the setting of configuration information and the renewal of learning behavior class library and upgrading;
Intellectual analysis and processing unit, be connected with action collecting unit, storage unit, clock unit and communication unit respectively by its input/output port, thus coordinate the action between them, and process data;
The method comprises the following steps:
1) start up system, judges whether to connect outer computer, if so, then carry out step 2), if not, then carry out step 3);
2) system configuration, arranges student name, student number, curriculum schedule, system automatic opening time and automatic shut-in time, and carries out system time synchronization;
3) initialization is carried out to system, data analysis mark is removed;
4) data analysis process is started
4.1) judge the whether set of data analysis mark, if set, then enter step 4.2), otherwise, repeat 4.1);
4.2) according to the time tag in data cell, to data framing, and the feature of each Frame is calculated;
4.3) is compared in the characteristic of division storehouse in frame sequence feature and storage unit, determine action classification;
4.4), after adding time tag, data record is formed, and stored in storage unit;
4.5) clear data analysis mark, returns step 4.1);
5) setting data gathers interrupt handling routine
5.1) temporal information is read;
5.2) obtain sensing data, add time tag, form a data cell, data cell comprises time tag, x acceleration, y acceleration and z acceleration, points to memory location stored in Current data acquisition buffer pointer;
5.3) judge that whether buffer zone is full, if buffer zone is full, then carry out step 5.4) to 5.6); Otherwise, then carry out step 5.7);
5.4) data acquisition buffer data is copied to data analysis buffer zone;
5.5) data acquisition buffer pointer is pointed to stem;
5.6) put data analysis zone bit, terminate program;
5.7) data acquisition buffer pointer is pointed to next memory location, terminate program;
6) judge whether system terminates, if terminate, then log off, otherwise continue to judge;
7) external analysis program, is sent to outer computer by the data record of storage and is further analyzed, and analytic process, in conjunction with timetable arrangement, is analyzed for different courses and break.
2. method according to claim 1, is characterized in that: described step 7) specifically:
7.1) by the synchronizing information set by system configuration to learning behavior data real-time automatic recording device;
7.2), after obtaining data records, divide into groups to data record according to the attending class of curriculum schedule and every class, play time, the data record with kind course is divided into one group;
7.3) the data record after step 7.2 being divided into groups is stored in Computer Database;
7.4) by the data intelligence processing method for course to often organizing data analysis;
7.5) by analysis result stored in database, terminate program.
3. method according to claim 1, is characterized in that: described step 4.2) in the feature of Frame refer to operating frequency, intensity, direction and duration; Described step 4.3) in action classification refer to race, jumping, walk, rock, stand up, to sit down and static; Described step 4.4) in data record comprise actuation time, action classification, direction of action, mean intensity, operating frequency and duration.
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| CN103167168B (en) * | 2013-02-04 | 2015-12-09 | 江苏大学 | A kind of method of mobile phone automatic switching situation pattern |
| CN104112374B (en) * | 2013-04-19 | 2016-05-25 | 鸿富锦精密工业（深圳）有限公司 | Distant learning scoring apparatus and method |
| CN106779362A (en) * | 2016-12-02 | 2017-05-31 | 黄河水利职业技术学院 | A kind of mathematical studying investigation method and device |
| CN106778575A (en) * | 2016-12-06 | 2017-05-31 | 山东瀚岳智能科技股份有限公司 | A kind of recognition methods of Students ' Learning state based on wearable device and system |
| CN106931968A (en) * | 2017-03-27 | 2017-07-07 | 广东小天才科技有限公司 | Method and device for monitoring classroom performance of students |
| CN107582076B (en) * | 2017-08-15 | 2020-05-19 | 浙江大学 | Attention detection device and detection method based on wireless action acquisition module |
| CN110276246A (en) * | 2019-05-09 | 2019-09-24 | 威比网络科技(上海)有限公司 | Course index detects alarm method, device, electronic equipment, storage medium |
| CN113093625A (en) * | 2021-04-12 | 2021-07-09 | 广州宏途教育网络科技有限公司 | Student behavior analysis system for intelligent classroom |
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| CN101694693A (en) * | 2009-10-16 | 2010-04-14 | 中国科学院合肥物质科学研究院 | Human body movement recognition system based on acceleration sensor and method |
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| CN101694693A (en) * | 2009-10-16 | 2010-04-14 | 中国科学院合肥物质科学研究院 | Human body movement recognition system based on acceleration sensor and method |
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