CN113440151B - Concentration force detection system, detection method and use method of system - Google Patents
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Abstract
A concentration detection system, a detection method and a use method of the system are provided, wherein the system comprises a computer, and a brain wave data acquisition device and an eyeball tracking device which are respectively communicated with the computer; the brain wave data acquisition device transmits the detected alpha, beta and theta wave bands to a computer, and software installed in the computer determines concentration level Con (n) by analyzing the ratio of beta wave intensity to the sum of the alpha, beta and theta wave intensities; the eyeball tracking device monitors the concentration force of a user in the whole activity from two dimensions of concentration force values and concentration targets to obtain a concentration level p (n) of the n second; the software in the computer synthesizes the concentration level Score (n) of each second obtained by the brain wave data acquisition device and the eyeball tracking device, and the concentration level Score of the whole activity is the final concentration level. The invention provides comprehensive concentration monitoring data for screen media activities, combines brain concentration and visual concentration, and can more comprehensively reflect concentration levels in activities.
Description
Technical Field
The invention relates to the technical field of detection technology, in particular to a concentration detection system, a detection method and a use method of the system.
Background
Concentration is the motor function of cognitive activity. Cognitive activities include activities such as auditory perception, visual perception, memory, thinking, imagination, execution, feedback, and the like. The driving force for the smooth development of cognitive activities is concentration.
At present, the general public talk about concentration and attention, which is considered as concentration, and this results in many concentration detection systems, which are focused on detecting the current concentration through various props and devices, and the attention is focused on what is actually the attention, and the attention is inherent. The other part is aimed at the detection of concentration, but only through single brain wave information collection or whether concentration degree is deep or not, the data fluctuation of actual concentration is not combined, and the actual concentration of a detected person and monitoring data cannot be shown in a real and specific way.
From the application scope and number, EEG (Electroencephalograph) based devices are currently the most widespread brain-computer interface. By analyzing brain waves measured by EEG, the emotion and state of the brain can be obtained. The current mainstream brain wave analysis method is to divide the wave into 5 kinds of alpha, beta, delta, gamma and theta according to the frequency, and the specific details are shown in the following table:
| type(s) | Frequency (Hz) | Brain state represented by large amplitude of the wave |
| α | 8-12 | Relaxing, pleasure and consciousness |
| β | 12-30 | Limb movement, thinking, tension and anxiety |
| δ | <4 | Sleep, tiredness and unconsciousness |
| γ | >30 | Feeling and emotion fluctuation |
| θ | 4-7 | Intuition, imagination, dream |
From the magnitude of these 5 waves, the concentration level of the brain can be analyzed.
In hardware, low cost brain wave monitoring circuits using single channel/double electrodes have been modularized. The module obtains an electroencephalogram signal through a double electrode attached to the forehead and the back (vertical) of the ear, and the intensity of the 5 types of waves is calculated after the collected original signal is subjected to filtering, fourier transformation and frequency analysis through on-board software, so that a user can directly read the electroencephalogram signal.
In addition, the current eye tracking technology is well established, and conventionally, the positions of the pupils of eyes are monitored by two or more transversely arranged infrared cameras fixed in front of eyes, and the positions of the fixation points of the eyes are calculated by the phase difference among the cameras. The device is often used in combination with a display to analyze the movement track and distribution of the gaze points of the eyes of the tracked person on the display. By analyzing these trajectory and distribution data, it is possible to analyze from the point of view whether the visual concentration of the tracked person is focused on a particular target object displayed on the display.
Problems and disadvantages of the prior art are as follows:
1. at present, many early education, brain development, psychological treatment and other institutions use electronic screens to perform corresponding training and treatment in the forms of games, animations and the like, but most subjective training and treatment cannot evaluate effects through objective evaluation criteria. This patent describes a method that can be used in such on-screen media activities to continuously monitor the concentration level of the user, which can be used to evaluate the effectiveness of subjective training or treatment procedures, thereby ensuring the effectiveness of the training/treatment.
2. The brain wave monitoring method can only reflect the concentration level and cannot determine the target object focused by the tested person; eye tracking can only determine the target object of visual concentration of the tracked person and cannot reflect concentration level.
Disclosure of Invention
In order to give the change relation of concentration level of a user with time when the user performs activities, so as to evaluate the concentration degree of activity behaviors, the invention provides a concentration detection system, a detection method and a use method of the system, and the specific scheme is as follows:
a concentration detection system comprises a computer, an electroencephalogram data acquisition device and an eyeball tracking device, wherein the electroencephalogram data acquisition device and the eyeball tracking device are respectively communicated with the computer;
the brain wave data acquisition device transmits the detected alpha, beta and theta wave bands to a computer, and software installed in the computer determines concentration level Con (n) by analyzing the ratio of beta wave intensity to the sum of the alpha, beta and theta wave intensities;
the eyeball tracking device monitors the concentration force of a user in the whole activity from two dimensions of concentration force values and concentration targets to obtain a concentration level p (n) of the n second;
the software in the computer synthesizes the concentration level of each second obtained by the brain wave data acquisition device and the eyeball tracking device
Score(n)＝Con(n)*p(n) (3)
The evaluation algorithm for the concentration level score for the whole activity is as follows:
the overlay score is the final concentration level.
Specifically, the algorithm of the software on brain wave data is as follows:
con (n) is the concentration level value for the nth second; alpha, beta and theta are intensity values read by the electroencephalogram module, and the values are calculated once per second.
Specifically, the brain wave data acquisition device uses a TGAM brain wave module of the mind science and technology.
Specifically, the brain wave data acquisition device is connected with a computer through Bluetooth.
Specifically, the specific algorithm for obtaining the gaze concentration level p (n) of the nth second by the eye tracking device is as follows:
p is the gaze concentration level for the nth second; allPos (n) is the total number of the gaze point coordinates acquired in the nth second; inPos (n) is the number of targets whose gaze point coordinates fall within the range of the desired gaze in the nth second, i.e. the proportion of the line of sight falling on the targets per unit time.
Specifically, tobii Eye Tracker is used as the eye tracking device.
Specifically, the eyeball tracking device is connected with a computer through a USB.
The detection method of the concentration detection system comprises the following steps:
SA1, software running, wherein a computer is respectively connected with an electroencephalogram data acquisition device and an eyeball tracking device;
SA2, judging whether the brain wave data acquisition device and the eyeball tracking device start detection by software, if not, continuously executing the step SA2, otherwise, entering the step SA3;
SA3, initializing concentration data, loading vision concentration judgment area range data, then reading data of an electroencephalogram data acquisition device, including intensity and signal quality of alpha, beta and theta waves, and reading data of an eyeball tracking device, including point of regard coordinates and corresponding time;
SA4, processing data according to the algorithm and recording;
and SA5, judging whether the data processing is finished, if so, presenting and recording the data and the result of the concentration process, and if not, returning to the step SA3 to continue to execute.
The method for using the concentration force detection system comprises the following steps:
SB1, wearing a brain wave data acquisition device, wherein when the brain wave data acquisition device is worn, the electrodes of the brain wave data acquisition device are ensured to be well contacted with forehead and ear skin, the wearing is stable, and when the brain wave data acquisition device is connected, after the brain wave equipment is opened, the connection is clicked on a software interface;
after the user sits well, fixing the position, executing correction of the eyeball tracking device and connecting with software; ensuring that the head posture and the position of a user are relatively fixed, calibrating the eyeball tracking device, checking whether the software identifies the eyeball tracking device in a software interface after the calibration is finished, and giving a prompt on the interface after the software successfully;
SB2, starting screen media activity, collecting data, and continuously collecting and recording brain wave and eye movement data in the process;
SB3, analyzing data; and detecting and recording on a server according to the detection method.
The invention has the beneficial effects that: the method provides comprehensive concentration monitoring data for screen media activities, combines brain concentration with visual concentration, and can more comprehensively reflect concentration levels in activities.
Drawings
FIG. 1 is a block diagram of a concentration force detection system according to the present invention;
fig. 2 is a flowchart of a concentration detection method according to the present invention.
In the figure:
1. a computer; 2. brain wave data acquisition device; 3. eyeball tracking device
Detailed Description
As shown in fig. 1, the concentration detection system based on brain-computer interface and eye tracking comprises a computer, and a brain wave data acquisition device and an eye tracking device which are respectively communicated with the computer.
The brain wave data acquisition device uses a TGAM brain wave module of the mind science and technology, and is connected with a computer through Bluetooth. Detecting alpha, beta and theta wave bands in brain waves, transmitting the detected alpha, beta and theta wave bands to a computer, and determining concentration level by analyzing the ratio of beta wave intensity to the sum of alpha, beta and theta wave intensities by software installed in the computer. The algorithm of the software on brain wave data is as follows:
con (n) is the concentration level value for the nth second (range 0-100); alpha, beta, theta are intensity values (range 0-4294967295) read by the electroencephalogram module, which are calculated once per second.
The eye tracking device uses Tobii Eye Tracker, and the eye tracking device uses a USB cable to connect with a computer. The software obtains the track and distribution of the eyes of the user through an application program interface provided by the Tobii official, and analyzes whether the concentration target state of the user is on a desired target object. Integrating the two types of data in the time dimension in software, processing according to second slices, monitoring the concentration of a user in the whole activity from the concentration value and the concentration target dimension, and providing data reference for other analysis. The specific algorithm of the software to the eyeball tracking data is as follows:
p is the level of gaze concentration for the nth second (range 0-1); allPos (n) is the total number of the gaze point coordinates acquired in the nth second; inPos (n) is the number of targets whose gaze point coordinates fall within the range of the desired gaze in the nth second, i.e. the proportion of the line of sight falling on the targets per unit time.
The software obtains the integration algorithm of concentration levels per second as follows:
Score(n)＝Con(n)*p(n) (3)
the evaluation algorithm for the concentration level score for the whole activity (n seconds duration) is as follows:
the OVermallScore is the final concentration level (range 0-100), which is the average of the concentration calculated per second in the time dimension.
The final presentation results include a plot of concentration level Con (n) -time, a plot of concentration level p (n) -time, and a plot of concentration score-time.
As shown in fig. 2, a concentration detection method based on brain-computer interface and eyeball tracking includes the following steps:
SA1, software running, connecting Bluetooth and USB;
SA2, judging whether the brain wave data acquisition device and the eyeball tracking device start detection by software, if not, continuously executing the step SA2, otherwise, entering the step SA3;
SA3, initializing concentration data, loading vision concentration judgment area range data, then reading data of an electroencephalogram data acquisition device, including intensity and signal quality of alpha, beta and theta waves, and reading data of an eyeball tracking device, including point of regard coordinates and corresponding time;
SA4, processing data according to the algorithm and recording;
and SA5, judging whether the data processing is finished, if so, presenting and recording the data and the result of the concentration process, and if not, returning to the step SA3 to continue to execute.
A using method of a concentration detection system based on brain-computer interfaces and eyeball tracking comprises the following steps:
SB1, wear brain wave data acquisition device to be connected through bluetooth with the software. When the brain wave data acquisition device is worn, the electrodes of the brain wave data acquisition device are well contacted with the forehead and the skin of the ear, and the brain wave data acquisition device is stably worn. After the electroencephalogram equipment is opened during connection, the connection is clicked on a software interface, the software can automatically search available equipment nearby, pairing connection is carried out according to the mac address, and a prompt can be given on the interface after connection is successful.
After the user sits well, fixing the position, executing correction of the eyeball tracking device and connecting with software; ensuring that the head posture and the position of a user are relatively fixed, calibrating the eye tracking device, checking whether the software identifies the eye tracking device in a software interface after the calibration is finished, and giving a prompt on the interface after the software is successful.
SB2, starting screen media activity and collecting data. Activities such as watching movies, moving pictures, playing video games, electronic pill therapy, etc. are performed, and brain waves and eye movement data are continuously collected and recorded during the process.
SB3, analyzing data. And detecting and recording on a server according to the detection method.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
Claims (6)
1. The concentration detection system is characterized by comprising a computer, and a brain wave data acquisition device and an eyeball tracking device which are respectively communicated with the computer;
the brain wave data acquisition device transmits the detected alpha, beta and theta wave bands to a computer, and software installed in the computer determines concentration level Con (n) by analyzing the ratio of beta wave intensity to the sum of the alpha, beta and theta wave intensities;
the eyeball tracking device monitors the concentration force of a user in the whole activity from two dimensions of concentration force values and concentration targets to obtain a concentration level p (n) of the n second;
the software in the computer synthesizes the concentration level of each second obtained by the brain wave data acquisition device and the eyeball tracking device
Score(n)＝Con(n)*p(n)
The evaluation algorithm for the concentration level score for the whole activity is as follows:
overall score is the final concentration level;
the algorithm of the software on brain wave data is as follows:
con (n) is the concentration level value for the nth second; alpha, beta and theta are intensity values read by an electroencephalogram module, and the values are calculated once per second;
the specific algorithm for obtaining the gaze concentration level p (n) of the nth second by the eyeball tracking device is as follows:
p is the gaze concentration level for the nth second; allPos (n) is the total number of the gaze point coordinates acquired in the nth second; inPos (n) is the number of targets whose gaze point coordinates fall within the range of the desired gaze in the nth second, i.e. the proportion of the line of sight falling on the targets per unit time.
2. The concentration detection system of any one of claim 1 wherein the brain wave data acquisition device is connected to the computer via bluetooth.
3. The concentration detection system of claim 1 wherein the eye tracking device uses Tobii Eye Tracker.
4. The concentration detection system of claim 1 wherein the eye tracking device is connected to the computer via USB.
5. A method of detecting a concentration force detection system according to any one of claims 1 to 4, comprising the steps of:
SA1, software running, wherein a computer is respectively connected with an electroencephalogram data acquisition device and an eyeball tracking device;
SA2, judging whether the brain wave data acquisition device and the eyeball tracking device start detection by software, if not, continuously executing the step SA2, otherwise, entering the step SA3;
SA3, initializing concentration data, loading vision concentration judgment area range data, then reading data of an electroencephalogram data acquisition device, including intensity and signal quality of alpha, beta and theta waves, and reading data of an eyeball tracking device, including point of regard coordinates and corresponding time;
SA4, processing data according to a corresponding algorithm and recording;
and SA5, judging whether the data processing is finished, if so, presenting and recording the data and the result of the concentration process, and if not, returning to the step SA3 to continue to execute.
6. The method of claim 5, comprising the steps of:
SB1, wearing a brain wave data acquisition device, wherein when the brain wave data acquisition device is worn, the electrodes of the brain wave data acquisition device are ensured to be well contacted with forehead and ear skin, the wearing is stable, and when the brain wave data acquisition device is connected, after the brain wave equipment is opened, the connection is clicked on a software interface;
after the user sits well, fixing the position, executing correction of the eyeball tracking device and connecting with software; ensuring that the head posture and the position of a user are relatively fixed, calibrating the eyeball tracking device, checking whether the software identifies the eyeball tracking device in a software interface after the calibration is finished, and giving a prompt on the interface after the software successfully;
SB2, starting screen media activity, collecting data, and continuously collecting and recording brain wave and eye movement data in the process;
SB3, analyzing data; and detecting and recording on a server according to the detection method.
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| CN114694448B (en) * | 2022-06-01 | 2022-08-30 | 深圳市心流科技有限公司 | Concentration training method and device, intelligent terminal and storage medium |
| CN115908070B (en) * | 2023-03-10 | 2023-05-09 | 深圳市企鹅网络科技有限公司 | Online learning management method and system based on cloud platform |
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