CN107582076B - Attention detection device and detection method based on wireless action acquisition module - Google Patents
Attention detection device and detection method based on wireless action acquisition module Download PDFInfo
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Abstract
The invention discloses an attention detection device and method based on wireless action acquisition. In the wireless action acquisition module, a power management circuit, a battery and an acceleration sensor are all connected with a control circuit, and the control circuit is connected with a wireless transmitting module; the routing node module comprises a wireless receiving module and an embedded wireless gateway; the wireless transmitting module is wirelessly connected with the wireless receiving module, and the wireless receiving module is connected with the embedded wireless gateway; the data storage processing module comprises a database and a data processing module; the embedded wireless gateway is connected with the database, and the data processing module is connected with the database; the acceleration sensor is used for collecting acceleration signals as action data, action frequency and action amplitude are calculated, and attention levels of each user and the users in the group are obtained through group analysis and individual characteristic analysis calculation judgment. The invention has the advantages of high cost performance and convenient use, and can improve the teaching effect without interfering the teaching progress of a teacher.
Description
Technical Field
The invention relates to an attention detection device and method, in particular to an attention detection device and method based on wireless action acquisition.
Background
Along with the development of society, people pay more and more attention to education, and especially for special education and classroom education, the learning of the attention of learners has a vital influence on the improvement of teaching efficiency. Therefore, in recent years, devices and methods for assisting special education and classroom education are diversified, but devices capable of feeding back motion characteristics, attention information and the like of learners in real time are lacked in the prior art.
At present, the attention of learners is detected by using senses such as eyes, ears and the like in a forest formal model to observe the attention of learners, but the method needs more teaching experiences of teachers, see the forest formal model of literature, student behavior observation of teachers, education development research 2007.10B; the Qinxiang and the like use video monitoring to detect the attention of learners, but the mode has huge requirements on storage space and can cause obstruction, see the literature of Qinxiang, Likai, and Berry Red.Junior physical subject teaching quality classroom evaluation-based on analysis of 7 video lessons.education scientific research.2014 (4); in the new school, the assessment scale is adopted to obtain the attention condition of the learner, but the mode has certain subjectivity and cannot provide real-time assessment, see in the literature package new school, Shulimng, primary and secondary school comprehensive practice activity course teaching guidance assessment scale preliminary development, Jiangsu education research, 2013, and 10.
Although the above detection method can achieve detection of attention, the use environment and conditions are limited.
Disclosure of Invention
In order to solve the problems in the background art, the present invention is directed to an attention detection apparatus and method based on an acceleration sensor, which is applied to classroom education and can feed back the attention information of a learner to a teacher in real time, so as to flexibly arrange teaching contents and pay attention to the learner with inattentive attention, thereby improving teaching efficiency. And can be applied to aspects of special education, health detection and the like.
The technical scheme adopted by the invention is as follows:
the utility model provides an attention detection device based on wireless action is gathered:
comprises a wireless action acquisition module, a routing node module and a data storage processing module,
the wireless action acquisition module comprises a power management circuit, a battery, an acceleration sensor, a control circuit and a wireless transmitting module; the power management circuit, the battery and the acceleration sensor are all connected with the control circuit, and the control circuit is connected with the wireless transmitting module;
the routing node module comprises a wireless receiving module and an embedded wireless gateway; a wireless transmitting module in the wireless action acquisition module is wirelessly connected with a wireless receiving module, and the wireless receiving module is connected with an embedded wireless gateway;
the data storage processing module comprises a database and a data processing module; the embedded wireless gateway in the routing node module is connected with the database through a network data interface, and the data processing module is connected with the database.
The wireless action acquisition module comprises a plurality of wireless action acquisition modules with the same structure, wherein a power management circuit, a battery, an acceleration sensor, a control circuit and a wireless transmitting module are integrated into a whole in each wireless action acquisition module.
The wireless transmitting module is wirelessly connected with the wireless receiving module through high-frequency electromagnetic coupling.
The wireless action acquisition module acquires acceleration signals through the acceleration sensor, sends the acceleration signals to the data storage processing module through the routing node module and stores the acceleration signals in the database, and the data processing module reads data from the database, calculates and processes the data to obtain a user attention detection result and displays the user attention detection result on the data display terminal in real time.
Preferably, the wireless motion acquisition module is tied to the wrist of the user through a strap, or is placed on a desktop where the user is located and is tied to a chair where the user is located through a strap.
Secondly, an attention detection method based on wireless action acquisition comprises the following steps:
step 1): the method comprises the following steps that a plurality of wireless action acquisition modules are respectively bound with respective users (namely target learners), each wireless action acquisition module uses a control circuit as a main control device, an acceleration sensor is used for acquiring acceleration signals as action data, the acceleration data information comprises the integral action data (three-dimensional acceleration data) of the target learners, and then the wireless transmitting module transmits the action data to an embedded wireless gateway through a Zigbee protocol via a wireless receiving module;
step 2): the embedded wireless gateway is used as a routing node, receives data of each wireless transmitting module through a wireless receiving module, and then writes the data into a database through a network data interface;
step 3): and finally, the data storage processing module reads out and calculates the action frequency and the action amplitude of each user from the database, obtains the attention level of each user and the group users through group analysis and personal characteristic analysis calculation, and displays the attention level on a data display terminal in real time for the reference of a teacher.
The specific process of the step 3) is as follows:
firstly, the action amplitude and the action frequency of the individual user are calculated by adopting the following modes:
the action amplitude is as follows:
v(i)＝v(i-1)+[a(i)+a(i-1)]·Δt/2
A(i)＝A(i-1)+[v(i)+v(i-1)]·Δt/2
wherein v (i) is the motion speed at the current moment, a (i) is the motion amplitude at the current moment, Δ t is the sampling interval, i represents the moment, and a (i) represents the acceleration at the current moment;
the action frequency B is the number of times of acquiring the acceleration signal by the wireless action acquisition module through the acceleration sensor within the sampling interval Δ T.
Calculating the attention change rate r of the individual user by adopting the following formula:
wherein C represents the maximum action amplitude within 10min before the current moment, and D represents the maximum action frequency within 10min before the current moment;
it can be seen that r ∈ [0,1], and when the value of r is larger, the attention of the individual is less concentrated. In particular implementations, a threshold may be set to classify individuals according to their attention.
Calculating the attention change rate of the user group:
at a certain moment, the action amplitude value A of all users is obtained according to the middle action amplitude formula1,A2,…AkK represents the number of users, and the maximum value and the minimum value are removed and averaged
Then, each motion amplitude value with the maximum value and the minimum value removed is compared with the mean value
Making a difference to obtain a difference value delta A1,ΔA2,…ΔAk-2Then, the average value of all the differences is calculated as the average amplitude offset of the current time
At a certain time, the action frequency values f of all users are obtained according to the middle action frequency formula1,f2,…fkK represents the number of users, and the maximum value and the minimum value are removed and averaged
Then, each action frequency value with the maximum value and the minimum value removed is compared with the average value
Making a difference to obtain a difference value delta f1,Δf2,…Δfk-2Then, the average value of all the differences is calculated as the average frequency offset of the current time
(words and letters for frequency substitution)
Calculating the group attention change rate R by adopting the following formula:
where E represents the maximum average amplitude offset within 10min before the current time, and F represents the maximum average frequency offset within 10min before the current time.
The invention has the beneficial effects that:
the invention realizes the real-time detection of the attention of the learner, has the advantages of high cost performance, convenient use, accurate measurement precision, strong expandability, low cost and the like, and can improve the teaching effect without interfering the teaching progress of the teacher.
Drawings
Fig. 1 is a block diagram of an acceleration sensor-based wireless sensor network architecture.
Fig. 2 is a block diagram of a connection structure of the wireless action acquisition module.
Fig. 3 is a schematic diagram of practical application of the embodiment.
In the figure: 1. the wireless action acquisition module comprises 1.1 a power management circuit, 1.2 a battery, 1.3 an acceleration sensor, 1.4 a control circuit, 1.5 a wireless transmitting module, 2 a routing node module, 2.1 a wireless receiving module, 2.2 an embedded wireless gateway, 3 a data storage processing module, 3.1 a database, 3.2 and a data processing module.
Detailed Description
The invention is further illustrated with reference to the following figures and examples.
The specific implementation of the invention comprises a plurality of wireless action acquisition modules 1 with the same structure, a routing node module 2 and a data storage processing module 3.
As shown in fig. 1, a plurality of wireless motion capture modules 1 with the same structure: each comprising a power management circuit 1.1(RT9013-25), a battery 1.2, an acceleration sensor 1.3(MMA8451Q), a control circuit 1.4(STM8L151G4) and a wireless transmission module 1.5(DRF 1607H-WU); the power management circuit 1.1, the battery 1.2 and the acceleration sensor 1.3 are all connected with the control circuit 1.4, and the control circuit 1.4 is connected with the wireless transmitting module 1.5; the control circuit 1.4 is used as a main control device, controls the acceleration sensor 1.3 through an I2C bus and an interrupt signal line, collects information, and transmits data information through the wireless transmitting module 1.5.
As shown in fig. 2, the routing node module 2 includes a wireless receiving module 2.1 and an embedded wireless gateway 2.2; the data storage processing module 3 comprises a database 3.1 (here, MySQL database is used), and a data processing module 3.2; the wireless transmitting module 1.5 in the wireless action acquisition module 1 is wirelessly connected with the wireless receiving module 2.1 through high-frequency electromagnetic coupling, the wireless receiving module 2.1 is connected with the embedded wireless gateway 2.2, and the embedded wireless gateway 2.2 is connected with the database 3.1 through a network data interface. The wireless transmitting module 1.5 transmits data by generating a high-frequency alternating magnetic field, and the wireless receiving module 2.1 obtains data by sensing voltage from the high-frequency alternating magnetic field; the embedded wireless gateway 2.2 is used as a routing node, acquires the transmitted data through a Zigbee protocol, and writes the data into a database 3.1; the data processing module 3.2 reads out corresponding data from the database 3.1 and calculates, and the calculation result is presented on the data display terminal in real time.
When the device is applied to the detection of the attention of learners in classroom education, the implementation process is as follows:
as shown in fig. 3, when the wireless motion capture modules 1 are used for detecting the attention of learners in classroom education, the wireless motion capture modules are bound with target learners one by one, and the binding method may be as follows: the wireless action acquisition module 1 is tied to the wrist through a binding band, or is placed on a table top, is tied to a chair through a binding band, and the like. The platform is provided with a routing node module 2 and a data display terminal (a database 3.1 and a data processing module 3.2 run on a computer platform).
When some actions are generated by the learner, the bound wireless action acquisition module 1 acquires action data (three-dimensional acceleration data) of the learner and transmits the data to the embedded gateway 2.2 through wireless communication. The embedded gateway 2.2 receives the data of each wireless action acquisition module 1, and writes the data into the database 3.1 after processing.
And finally, reading out and calculating the action frequency and the action amplitude of each learner from the stored data through the data processing module 3.2, judging the attention level of each learner through group analysis and individual characteristic analysis, and displaying the attention level of each learner and the attention level of the group on a data display terminal in real time for the teacher to refer. Therefore, the teacher can obtain the attention information of the learner in real time, thereby flexibly arranging the teaching content and paying attention to the learner with poor attention and improving the teaching efficiency.
Claims (1)
1. An attention detection method based on wireless action acquisition is characterized by comprising the following steps:
step 1): the method comprises the following steps that a plurality of wireless action acquisition modules (1) are respectively bound with respective users, specifically, the wireless action acquisition modules (1) are placed on a desktop where the users are located and bound on a chair where the users are located through binding bands, each wireless action acquisition module (1) uses a control circuit (1.4) as a main control device, an acceleration sensor (1.3) is used for acquiring acceleration signals as action data, and then the wireless transmission module (1.5) transmits the action data to an embedded wireless gateway (2.2) through a wireless receiving module (2.1) through a Zigbee protocol;
step 2): the embedded wireless gateway (2.2) is used as a routing node, receives the data of each wireless transmitting module (1.5) through the wireless receiving module (2.1), and then writes the data into the database (3.1) through a network data interface;
step 3): finally, the data storage processing module (3) reads out and calculates the action frequency and the action amplitude of each user from the database (3.1), obtains the attention level of each user and the group user through group analysis and personal characteristic analysis calculation judgment, and presents the attention level in real time;
the specific process of the step 3) is as follows:
(1) firstly, the action amplitude and the action frequency of the individual user are calculated by adopting the following modes:
the action amplitude is as follows:
v(i)＝v(i-1)+[a(i)+a(i-1)]·Δt/2
A(i)＝A(i-1)+[v(i)+v(i-1)]·Δt/2
wherein v (i) is the motion speed at the current moment, a (i) is the motion amplitude at the current moment, Δ t is the sampling interval, i represents the moment, and a (i) represents the acceleration at the current moment;
(2) calculating the attention change rate r of the individual user by adopting the following formula:
wherein C represents the maximum action amplitude within 10min before the current moment, and D represents the maximum action frequency within 10min before the current moment; the action frequency B is the acquisition frequency of the acceleration signals of the wireless action acquisition module (1) through the acceleration sensor (1.3) within the sampling interval delta T;
(3) calculating the attention change rate of the user group:
(3.1) at a certain time, obtaining the action amplitude value A of all users according to the action amplitude formula in (1)1,A2,…AkK represents the number of users, the maximum and minimum values of which are removedPost-averaging
Then, each motion amplitude value with the maximum value and the minimum value removed is compared with the mean value
Making a difference to obtain a difference value delta A1,ΔA2,…ΔAk-2Then, the average value of all the differences is calculated as the average amplitude offset of the current time
(3.2) at a certain time, obtaining the action frequency values f of all users according to the action frequency formula in (1)1,f2,…fkK represents the number of users, and the maximum value and the minimum value are removed and averaged
Then, each action frequency value with the maximum value and the minimum value removed is compared with the average value
Making a difference to obtain a difference value delta f1,Δf2,…Δfk-2Then, the average value of all the differences is calculated as the average frequency offset of the current time
(3.3) calculating the group attention change rate R by adopting the following formula:
where E represents the maximum average amplitude offset within 10min before the current time, and F represents the maximum average frequency offset within 10min before the current time.
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