CN113440151A - Concentration 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 using method of the system are disclosed, wherein the system comprises a computer, 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 a concentration level Con (n) by analyzing the ratio of beta wave intensity to the sum of the alpha, beta and theta wave intensities; the eye tracking apparatus monitors the user's concentration throughout the activity from both the concentration value and the concentration target dimension to obtain the nth second level of concentration p (n); the software in the computer synthesizes the concentration level score (n) obtained by the brain wave data acquisition device and the eyeball tracking device per second, and the concentration level score OverallScore of the whole activity is the final concentration level. The invention provides comprehensive concentration monitoring data for screen media activities, and combines brain concentration with visual concentration, thereby reflecting the concentration level in the activities more comprehensively.
Description
Technical Field
The invention relates to the technical field of detection technology, in particular to a concentration detection system, a concentration detection method and a use method of the concentration detection system.
Background
Focus is the motor function of cognitive activity. Cognitive activities include activities of auditory perception, visual perception, memory, thinking, imagination, performance, feedback, and the like. The driving force for the smooth development of cognitive activities is the focus.
At present, the general public talks about attention and attention together, and the attention is considered to be attention, so that a plurality of attention detection systems are prompted to concentrate on detecting the current attention through various properties and equipment, and the attention is actually the attention which is inherent. And the other part aims at the detection of attention, but usually only collects or focuses on whether the strength of the attention is deep through single brain wave information, and does not combine with the data fluctuation of the actual attention, so that the real specific real attention of the detected person and the monitoring data cannot be given.
EEG (Electroencephalograph) based devices are currently the most widespread brain-computer interface in terms of range and number of applications. By analyzing the brain waves measured by the 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 types of waves, namely, alpha, beta, delta, gamma and theta according to the frequency, and the details are shown in the following table:
| type (B) | Frequency (Hz) | Brain state represented by large amplitude of the analog wave |
| α | 8-12 | Relaxed, pleasant and conscious |
| β | 12-30 | Physical exercise, thinking, tension, anxiety |
| δ | <4 | Sleep, fatigue and unconsciousness |
| γ | >30 | Fluctuation of feeling and emotion |
| θ | 4-7 | Intuition, imagination and dream |
From the amplitude of these 5 types of waves, the concentration level of the brain can be analyzed.
In terms of hardware, a low-cost brain wave monitoring circuit using a single channel/dual electrodes has been modularized. The module obtains electroencephalogram signals through double electrodes attached to the forehead and the back (the back) of the ear, and calculates the strength of the 5 types of waves after filtering, Fourier transform and frequency analysis are carried out on the collected original signals through onboard software, so that a user can directly read the strength.
In addition, the eye tracking technology is well developed, and generally, the center of the pupil of the eye is monitored by two or more infrared cameras which are fixed in front of the eye and arranged transversely, and the gaze position of the eyes is calculated by the phase difference between the multiple cameras. The equipment is mostly used in combination with a display, and the movement track and the distribution of the two-eye fixation points of the tracked person on the display are analyzed. By analyzing these trajectory and distribution data, it is possible to analyze from a gaze perspective whether the tracked person's visual attention is focused on a particular target displayed by the display.
The problems and disadvantages of the prior art are as follows:
1. at present, many organizations such as early education, brain development, psychotherapy and the like use electronic screens to carry out corresponding training and treatment in forms of games, animations and the like, and most of subjective training and treatment cannot evaluate the effect through objective evaluation criteria. This patent describes a method that can be used to continuously monitor the level of user attention in such on-screen media activities, and can be used to assess the effectiveness of subjective training or treatment procedures, thereby ensuring the effectiveness of the training/treatment.
2. The brain wave monitoring method only reflects the concentration level and cannot determine the target object concentrated by the testee; eye tracking can only determine the target of the tracked person's visual concentration and does not reflect the concentration level.
Disclosure of Invention
In order to provide the change relation of the concentration level of a user during activity along with time and further evaluate the concentration degree of the activity behavior, the invention provides a concentration detection system, a detection method and a using method of the system, and the specific scheme is as follows:
a concentration detection system comprises a computer, a brain wave data acquisition device and an eyeball tracking device, wherein the brain wave 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 a concentration level Con (n) by analyzing the ratio of beta wave intensity to the sum of the alpha, beta and theta wave intensities;
the eye tracking apparatus monitors the user's concentration throughout the activity from both the concentration value and the concentration target dimension to obtain the nth second level of concentration p (n);
the concentration level of the software in the computer is integrated with the acquisition of the brain wave data acquisition device and the eyeball tracking device per second
Score(n)＝Con(n)*p(n) (3)
The algorithm for evaluating the concentration level score of the entire activity is as follows:
the OverallScore is the final concentration level.
Specifically, the algorithm of the software for brain wave data is as follows:
con (n) is the concentration level value for the nth second; alpha, beta and theta are strength 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 electrical module of the miraculous science and technology.
Specifically, the brain wave data acquisition device is connected with a computer through Bluetooth.
Specifically, the eyeball tracking device obtains the concentration level p (n) of the gaze of the nth second by the following specific algorithm:
p is the gaze concentration level for the nth second; AllPos (n) is the total number of the fixation point coordinates acquired in the nth second; InPos (n) is the number of injection point coordinates falling within the range of the target object expected to be watched in the nth second, namely the proportion of the sight line falling on the target object in unit time.
Specifically, the Eye tracking device uses Tobii Eye Tracker 5.
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 and software are operated, and a computer is respectively connected with the brain wave data acquisition device and the eyeball tracking device;
SA2, judging whether the brain wave data acquisition device and the eyeball tracking device start to detect by software, if not, continuously executing step SA2, otherwise, entering step SA 3;
SA3, initializing concentration data, loading vision concentration judgment area range data, reading data of a brain wave data acquisition device, including the intensities of alpha, beta and theta waves and signal quality, and reading data of an eyeball tracking device, including a fixation point coordinate and corresponding time;
SA4, processing and recording data according to the algorithm;
SA5, judging whether the data processing is finished, if so, presenting and recording the attention process data and results, and if not, returning to step SA3 to continue execution.
A method of using the concentration detection system described above, comprising the steps of:
SB1, wearing the brain wave data acquisition device, ensuring that the electrodes of the brain wave data acquisition device are well contacted with the forehead and ear skin and are stably worn when the brain wave data acquisition device is worn, and clicking connection on a software interface after the brain wave equipment is turned on when the brain wave data acquisition device is connected;
after the user sits, fixing the position, executing the correction of the eyeball tracking device, and connecting the eyeball tracking device with software; ensuring that the head posture and the position of a user are relatively fixed, then calibrating the eyeball tracking device, after the calibration is finished, checking whether the software identifies the eyeball tracking device in a software interface, and giving a prompt on the interface after the software succeeds;
SB2, starting screen media activity, collecting data, and continuously collecting and recording brain wave and eye movement data in the process;
SB3, analytical data; and detecting and recording on the server according to the detection method.
The invention has the beneficial effects that: comprehensive concentration monitoring data is provided for screen media activities, and brain concentration is combined with visual concentration to more comprehensively reflect concentration levels in the activities.
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FIG. 1 is a block diagram of a concentration 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. a brain wave data acquisition device; 3. eyeball tracking device
Detailed Description
As shown in fig. 1, a concentration detection system based on brain-computer interface and eyeball tracking includes a computer, a brain wave data acquisition device and an eyeball tracking device, which are respectively communicated with the computer.
The brain wave data acquisition device is a TGAM brain electrical module of the Shenmonics technology, and is connected with a computer through Bluetooth. The alpha, beta and theta wave bands in the brain waves are detected and transmitted to a computer, and software installed in the computer determines the concentration level by analyzing the ratio of the beta wave intensity to the sum of the alpha, beta and theta wave intensities. The algorithm of the software for the brain wave data is as follows:
con (n) is the concentration level value for the nth second (range 0-100); alpha, beta and theta are strength values (range 0-4294967295) read by the brain electrical module, and the values are calculated once per second.
The eyeball tracking device uses a Tobii Eye Tracker 5 and is connected with a computer by using a USB cable. The software acquires the track and distribution of the fixation points of the eyes of the user through an application program interface provided by the Tobii official party, and analyzes whether the concentration target state of the user is on a desired target object. Integrating the two types of data in a time dimension in software, processing the data according to a second slice, monitoring the concentration of the user in the whole activity from two dimensions of concentration numerical values and concentration targets, and providing data reference for other analysis. The specific algorithm of the software for the eyeball tracking data is as follows:
p is the gaze concentration level for the nth second (range 0-1); AllPos (n) is the total number of the fixation point coordinates acquired in the nth second; InPos (n) is the number of injection point coordinates falling within the range of the target object expected to be watched in the nth second, namely the proportion of the sight line falling on the target object in unit time.
The integrated algorithm for the software to obtain concentration levels per second is as follows:
Score(n)＝Con(n)*p(n) (3)
the algorithm for evaluating the concentration level score for the entire activity (lasting n seconds) is as follows:
OVerallScore is the final concentration level (range 0-100), which is the mean calculated concentration per second over 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 to detect by software, if not, continuously executing step SA2, otherwise, entering step SA 3;
SA3, initializing concentration data, loading vision concentration judgment area range data, reading data of a brain wave data acquisition device, including the intensities of alpha, beta and theta waves and signal quality, and reading data of an eyeball tracking device, including a fixation point coordinate and corresponding time;
SA4, processing and recording data according to the algorithm;
SA5, judging whether the data processing is finished, if so, presenting and recording the attention process data and results, and if not, returning to step SA3 to continue execution.
A method for using a concentration detection system based on a brain-computer interface and eyeball tracking, comprising the following steps:
SB1, wear the brain wave data acquisition device, and pass through the bluetooth with the software and be connected. When the brain wave data acquisition device is worn, the electrodes of the brain wave data acquisition device are guaranteed to be in good contact with the forehead and the ear skin, and the wearing is stable. When the electroencephalogram equipment is connected, the connection is clicked on a software interface, the software can automatically search nearby available equipment, the equipment is connected in a matched mode according to the mac address, and a prompt is given on the interface after the connection is successful.
After the user sits, fixing the position, executing the correction of the eyeball tracking device, and connecting the eyeball tracking device with software; the method comprises the steps of ensuring that the head posture and the position of a user are relatively fixed, then calibrating the eyeball tracking device, after calibration is completed, checking whether software identifies the eyeball tracking device in a software interface, and giving a prompt on the interface after the software interface succeeds.
SB2, start screen media activity, collect data. Activities such as watching movies, animations, playing video games, electronic pill therapy, etc. are performed, and brain wave and eye movement data are continuously collected and recorded during the process.
SB3, data analysis. And detecting and recording the data on the server according to the detection method.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (9)
1. A concentration detection system is characterized by comprising a computer, a brain wave data acquisition device and an eyeball tracking device, wherein the brain wave 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 a concentration level Con (n) by analyzing the ratio of beta wave intensity to the sum of the alpha, beta and theta wave intensities;
the eye tracking apparatus monitors the user's concentration throughout the activity from both the concentration value and the concentration target dimension to obtain the nth second level of concentration p (n);
the concentration level of the software in the computer is integrated with the acquisition of the brain wave data acquisition device and the eyeball tracking device per second
Score(n)＝Con(n)*p(n) (3)
The algorithm for evaluating the concentration level score of the entire activity is as follows:
the OverallScore is the final concentration level.
2. The concentration detection system of claim 1, wherein the software's algorithm for brain wave data is as follows:
con (n) is the concentration level value for the nth second; alpha, beta and theta are strength values read by the electroencephalogram module, and the values are calculated once per second.
3. The concentration detection system of claim 1, wherein the electroencephalogram data collection device uses a TGAM electroencephalogram module of the neural technology.
4. The concentration detection system according to any one of claims 1-3, wherein the brain wave data collection device is connected to a computer via Bluetooth.
5. A concentration detection system according to claim 1, wherein the eye tracking device obtains the concentration level of gaze for the nth second p (n) by the following algorithm:
p is the gaze concentration level for the nth second; AllPos (n) is the total number of the fixation point coordinates acquired in the nth second; InPos (n) is the number of injection point coordinates falling within the range of the target object expected to be watched in the nth second, namely the proportion of the sight line falling on the target object in unit time.
6. A concentration detection system according to claim 1 wherein the Eye tracking device uses Tobii Eye Tracker 5.
7. The concentration detection system of claim 1, wherein the eye tracking device is connected to the computer via a USB.
8. The method of detecting a concentration detection system of any one of claims 1-7, comprising the steps of:
SA1 and software are operated, and a computer is respectively connected with the brain wave data acquisition device and the eyeball tracking device;
SA2, judging whether the brain wave data acquisition device and the eyeball tracking device start to detect by software, if not, continuously executing step SA2, otherwise, entering step SA 3;
SA3, initializing concentration data, loading vision concentration judgment area range data, reading data of a brain wave data acquisition device, including the intensities of alpha, beta and theta waves and signal quality, and reading data of an eyeball tracking device, including a fixation point coordinate and corresponding time;
SA4, processing and recording data according to the algorithm;
SA5, judging whether the data processing is finished, if so, presenting and recording the attention process data and results, and if not, returning to step SA3 to continue execution.
9. A method of using a concentration detection system according to claim 8, comprising the steps of:
SB1, wearing the brain wave data acquisition device, ensuring that the electrodes of the brain wave data acquisition device are well contacted with the forehead and ear skin and are stably worn when the brain wave data acquisition device is worn, and clicking connection on a software interface after the brain wave equipment is turned on when the brain wave data acquisition device is connected;
after the user sits, fixing the position, executing the correction of the eyeball tracking device, and connecting the eyeball tracking device with software; ensuring that the head posture and the position of a user are relatively fixed, then calibrating the eyeball tracking device, after the calibration is finished, checking whether the software identifies the eyeball tracking device in a software interface, and giving a prompt on the interface after the software succeeds;
SB2, starting screen media activity, collecting data, and continuously collecting and recording brain wave and eye movement data in the process;
SB3, analytical data; and detecting and recording on the server according to the detection method.
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| CN115373307A (en) * | 2022-05-31 | 2022-11-22 | 致源科技(深圳)有限公司 | Embedded device control method and device based on electroencephalogram signals |
| CN115908070A (en) * | 2023-03-10 | 2023-04-04 | 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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| CN115908070A (en) * | 2023-03-10 | 2023-04-04 | 深圳市企鹅网络科技有限公司 | Online learning management method and system based on cloud platform |
| 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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