CN115568864A - Driving behavior information acquisition and detection system - Google Patents
Driving behavior information acquisition and detection system Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
- A61B5/0006—ECG or EEG signals
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
- A61B5/002—Monitoring the patient using a local or closed circuit, e.g. in a room or building
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
- A61B5/372—Analysis of electroencephalograms
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
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Abstract
The utility model provides a driving behavior information acquisition and detecting system, relates to driver's brain electrical information acquisition technical field, has solved that brain electrical detection device has visual degree low, the difficult problem of handling of the data of collecting. The electroencephalogram electrode plate is arranged in a head-wearing structure and used for collecting electroencephalogram signals of users, and the digital-to-analog converter is used for performing digital-to-analog conversion on the electroencephalogram signals and simulating the converted electroencephalogram signals; the microcontroller is used for removing noise of the analog electroencephalogram signal by adopting GUI software, acquiring an electroencephalogram change curve and sending the electroencephalogram change curve to the sending end WIFI chip; the sending end WIFI chip and the receiving end WIFI chip are in wireless communication; the receiving end WIFI chip sends the electroencephalogram change curve to a computer and a server; the server is used for transmitting the electroencephalogram change curve to the cloud database; the computer is used for displaying the electroencephalogram change curve and storing the electroencephalogram change curve. The invention is suitable for acquiring the electroencephalogram information of the driver.
Description
Technical Field
The invention relates to the technical field of driver electroencephalogram information acquisition.
Background
With the development of electronic commerce, the demand for logistics vehicles is rapidly increasing. However, the number of traffic accidents mainly involving logistic vehicles has sharply increased, and the amount of economic loss caused by the traffic accidents is enormous. To reduce the occurrence of the above-mentioned accidents, researches on the directions of human factors have been focused on researchers. Among them, research on the brain electrical information of the driver is one of the hot spots of the current research. However, the current electroencephalogram detection device has the disadvantages of dependence on import, high price, low visualization degree, difficulty in processing, managing and recycling collected data and the like.
Disclosure of Invention
The invention aims to solve the problems that an electroencephalogram detection device is low in visualization degree and collected data are not easy to process, and provides a driving behavior information acquisition and detection system.
The invention relates to a driving behavior information acquisition and detection system, which comprises an electroencephalogram electrode plate, a digital-to-analog converter, a microcontroller, a sending end WIFI chip, a receiving end WIFI chip, a computer and a server, wherein the sending end WIFI chip is connected with the computer;
the electroencephalogram electrode plate is arranged in the head-wearing structure and used for collecting electroencephalogram signals of a user and sending the collected electroencephalogram signals to the digital-to-analog converter;
the digital-to-analog converter is used for performing digital-to-analog conversion on the electroencephalogram signal and sending the converted analog electroencephalogram signal to the microcontroller;
the microcontroller is used for removing noise of the analog electroencephalogram signal by adopting GUI software, acquiring an electroencephalogram change curve and sending the electroencephalogram change curve to the receiving end WIFI chip;
the sending end WIFI chip and the receiving end WIFI chip are in wireless communication;
the WIFI chip at the receiving end sends the electroencephalogram change curve to a computer and a server;
the server is used for transmitting the electroencephalogram change curve to the cloud database;
the computer is used for displaying the electroencephalogram change curve and storing the electroencephalogram change curve.
Furthermore, the invention also comprises an electro-oculogram acquisition electrode plate, wherein the electro-oculogram acquisition electrode plate is used for acquiring electro-oculogram signals and sending the acquired signals to the digital-to-analog converter.
Further, in the invention, the digital-to-analog converter comprises 8 channel electroencephalogram signal input ends and two channel electrooculogram signal input ends.
Further, in the invention, the sending end WIFI chip and the receiving end WIFI chip are both realized by ESP32 integrated chips.
Further, the power supply module is further included and used for supplying power to the electroencephalogram electrode plate 1, the digital-to-analog converter, the microcontroller, the sending end WIFI chip and the receiving end WIFI chip.
Further, in the invention, the microcontroller adopts an ARM microcontroller.
Further, the electroencephalogram change curve acquisition system further comprises a mobile terminal, and the mobile terminal accesses a cloud database through a small program to acquire the electroencephalogram change curve.
The invention integrates functions of hardware acquisition processing, cloud algorithm optimized display and the like, designs a driving behavior information acquisition and detection system, records multi-channel electroencephalogram signal segments by utilizing a brain-computer interface technology, and constructs a complete simulation experiment by matching with functions of real-time detection of electroencephalogram information wireless sensing equipment and cloud data processing and display of a small program of a self-built website, thereby effectively improving visualization and processing efficiency of electroencephalogram data.
Drawings
FIG. 1 is a diagram of a driving behavior information collection and detection system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
The invention is further described with reference to the following drawings and specific examples, which are not intended to be limiting.
The first specific implementation way is as follows: the following describes the present embodiment with reference to fig. 1, and the driving behavior information acquisition and detection system according to the present embodiment includes an electroencephalogram electrode sheet 1, a digital-to-analog converter 2, a microcontroller 3, a transmitting-end WIFI chip 4, a receiving-end WIFI chip 6, a computer 5, and a server 7;
the electroencephalogram electrode plate 1 is arranged in the head-wearing structure and used for collecting electroencephalogram signals of a user and sending the collected electroencephalogram signals to the digital-to-analog converter 2;
the digital-to-analog converter 2 is used for performing digital-to-analog conversion on the electroencephalogram signal and sending the converted analog electroencephalogram signal to the microcontroller 3;
the microcontroller 3 adopts GUI software to perform noise removal on the analog brain electrical signal, acquires an electroencephalogram change curve, and sends the electroencephalogram change curve to the receiving end WIFI chip 6;
the sending end WIFI chip 4 and the receiving end WIFI chip 6 are in wireless communication;
the receiving end WIFI chip 6 sends the electroencephalogram change curve to the computer 5 and the server 7;
the server 7 is used for transmitting the electroencephalogram change curve to the cloud database;
the computer 5 is used for displaying the electroencephalogram change curve and storing the electroencephalogram change curve.
Aiming at the frequency interval of an electroencephalogram effective signal, an LC filter is arranged at an electrode sheet end to filter out invalid information of a sensor, a multi-channel ADC is converted and is in butt joint with a huge cache area of a high-performance STM32H microprocessor, and the process of uploading data to a cloud end is realized through high-speed WIFI throughput of an ESP 32; the appropriate sampling period of the data of 8 channels is adopted, electroencephalogram information is guaranteed to be included, the sampling theorem is 2 times, and in order to guarantee aliasing of the data, the sampling frequency is 3 times. The size of a cache region of the microprocessor and the server is researched on the data volume, normal uploading and downloading of multi-frame data under the condition of blockage are guaranteed, and data accuracy is guaranteed; the difference between data noise removal and principal component highlighting under different algorithms is realized by adopting a digital filtering algorithm in a microprocessor and combining GUI software, and at least two denoising algorithms are provided; the capability of the WeChat small program for capturing data in real time and the information forwarding speed of the server are optimized, and the display effect and accuracy are improved to the maximum extent.
Further, in this embodiment, the display device further includes an electro-oculogram collecting electrode plate, and the electro-oculogram collecting electrode plate is configured to collect an electro-oculogram signal and send the collected signal to the digital-to-analog converter 2.
Further, in the present embodiment, the digital-to-analog converter 2 includes 8 channel electroencephalogram signal input terminals and two channel electrooculogram signal input terminals.
Further, in this embodiment, the transmitting end WIFI chip 4 and the receiving end WIFI chip 6 are both implemented by ESP32 integrated chips.
Further, in this embodiment, the power supply module is further included, and the power supply module is used for supplying power to the electroencephalogram electrode slice 1, the digital-to-analog converter 2, the microcontroller 3, the sending end WIFI chip 4, and the receiving end WIFI chip 6.
Further, in this embodiment, the microcontroller 3 is an ARM microcontroller.
Further, in this embodiment, the electroencephalogram monitoring system further comprises a mobile terminal, and the mobile terminal accesses the cloud database through the applet to acquire the electroencephalogram change curve.
Further, in the present embodiment, the electroencephalograph further includes an LC filter, a signal input end of the LC filter is connected to a signal output end of the electroencephalogram electrode slice 1, and a signal output end of the LC filter is connected to a signal input end of the digital-to-analog converter 2.
The microprocessor is based on the stm32 singlechip and is divided into a data acquisition and transmitting end and a data receiving and processing end. Through the design of the information acquisition device of a wear-type, improve driver and dress the comfort level, gather brain electricity and eye signal of telecommunication through eight passageway and two passageways respectively. For the collected data, the data are communicated with the microprocessor through the digital-to-analog converter, the data are transmitted to the receiving end from the transmitting end through the WIFI module, meanwhile, the WIFI module of the receiving end is communicated with the local computer through the serial port, and the data are wirelessly forwarded to the cloud end. The transmitting terminal plays the roles of data acquisition, preprocessing and transmission, and the receiving terminal performs interaction and visualization work, so that related monitoring personnel can remotely, intuitively and visually process electroencephalograms of a driver in a visualization form in real time to know whether the driver is in a fatigue state, and the transportation safety is guaranteed.
The invention adopts ADS1298 to collect fluctuation data from electroencephalogram electrodes of 8 channels, is a multi-channel synchronous sampling 24-bit delta-sigma analog-to-digital converter (ADC) series, and is internally provided with a Programmable Gain Amplifier (PGA), an internal reference and an on-board oscillator. The ARM microcontroller adopts the working frequency as high as 80MHz, the flash memory as high as 256Kbyte, the preferred SPI interface is communicated with the ADC, and transmits data to WIFI through a serial port, so that the requirements for processing EEG data and realizing the transmission function are met. And the hardware transmitting end is used for transmitting the acquired data after processing. And the receiving and processing terminal is communicated with the local computer through a serial port and transmits the received data to the cloud.
The software terminal can carry out real-time transmission and visual analysis on the data, and is convenient for related personnel to monitor and manage. Firstly, the design is that a website frame is built, online functions are defined, and front-end and back-end development is carried out. And reasonably setting each functional area of the website to prepare for module access in an early stage. And optimizing a website interface and ensuring the stability of connection with hardware. The Keil5 is used for developing the process of acquiring and transmitting the electroencephalogram information, so that the real-time transmission of data is realized, the information forwarding speed of the server is increased, and the visualization effect and the data processing capacity are improved to the greatest extent. And acquiring and processing data uploaded by hardware by using a Pyqt5 development GUI, preprocessing the data based on python, filtering invalid redundant data under the condition of reserving original data, and establishing a cloud database. Developing a WeChat small program, and performing visual presentation on data by combining a website.
The invention designs a driving behavior information acquisition and detection system, which records a multichannel EEG signal segment by utilizing a brain-computer interface technology. The system adopts the innovative combination of an embedded real-time operating system, a brain computer device and a filter, takes a message forwarding system running on a cloud server as a center, realizes real-time wireless transmission between hardware ends through WIFI, analyzes and calculates a large amount of hardware end data in real time by combining Python, and filters invalid redundant data by combining filter simulation and actual brain electrical sensor output signals under the condition of keeping original data. The response delay time of the driver after the visual impact is predicted, and the subsequent visualization process is optimized. In addition, the system increases the possibility of subsequent precision improvement by reserving an expansion interface, can expand an acquisition channel for different experimental requirements, and realizes the function that one receiving terminal acquires data of a plurality of transmitting terminals.
More importantly, the method carries out cloud data processing on the self-built website, presents the change data of the electroencephalogram information in a visual mode by matching with the WeChat small program, and displays the change of the data more intuitively and more variously. The method can be convenient for related personnel in the traffic field to acquire the response delay time of the driver in real time, provides a referential suggestion and feasible means for the development of the intelligent networked automobile technology in the future, can effectively reduce the accident rate after being widely applied, and can ensure the road traffic safety as much as possible.
By combining a remote control feedback technology of internet of things and technologies of field real-time closed-loop control, remote information safety transmission and the like, key information recorded by the brain electrical information in the auxiliary driving system is associated, a specific automatic driving takeover strategy is tried to be designed in the future by extracting response delay time and peak signals, and the vehicle guarantee safety can be taken over for a short time in case of emergency.
On the basis, the invention also designs and constructs an extended function, and the website can collect and reserve the collected data to provide data interface support for subsequent brain-computer projects; the platform can also be used as a forum to provide an innovative online learning and communication platform for colleges and universities. And the functions of creating forums greatly, admiring lessons and the like are supported. And scientific research personnel related to the electroencephalogram can communicate and discuss the electroencephalogram, and some experiences and technical stickers can be uploaded independently.
The driving behavior information acquisition and monitoring system based on the brain-computer interface technology is designed by integrating functions of hardware acquisition processing, cloud algorithm optimization display and the like, and a complete simulation experiment platform is constructed by designing a driving simulation experiment and matching with functions of real-time detection of brain electrical information wireless sensing equipment and cloud data processing and display of a self-built website. And the change of the brain electrical information in the driving process is visualized through a WeChat small program, so that experimental workers can observe experimental data on site conveniently. In addition, the platform established by the system can be expanded to a research platform for scientific research, communication and study of college students, and a webpage interface is provided for required projects. The electroencephalogram information acquisition device with the powerful functions is light in weight, the requirement on hardware resources is reduced, the flexibility is high, the cost of the electroencephalogram information acquisition system is reduced, and the development of small-sized brain-computer equipment is promoted.
The method combines the remote control feedback technology of the Internet of things and the technology of remote information safety transmission and the like; real-time data analysis and visualization are realized, the method is visual and concise, and the equipment cost is greatly reduced on the premise of ensuring the equipment precision. And, compare with traditional brain electricity information acquisition equipment, this equipment is more small and exquisite light, easily wears, has reduced the environmental requirement of simulation driving experiment, and the scene that is suitable for is more diversified. The method provided by the invention can be used in a simulated driving experiment, and the acquired data can also be uploaded to a website for being shared by researchers, so that data support is provided for researches such as simulated driving and unmanned driving.
Although the invention herein has been described with reference to particular embodiments, it is to be understood that these embodiments are merely illustrative of the principles and applications of the present invention. It is therefore to be understood that numerous modifications may be made to the illustrative embodiments and that other arrangements may be devised without departing from the spirit and scope of the present invention as defined by the appended claims. It should be understood that features described in different dependent claims and herein may be combined in ways different from those described in the original claims. It is also to be understood that features described in connection with individual embodiments may be used in other described embodiments.
Claims (7)
1. A driving behavior information acquisition and detection system is characterized by comprising an electroencephalogram electrode plate (1), a digital-to-analog converter (2), a microcontroller (3), a sending end WIFI chip (4), a receiving end WIFI chip (6), a computer (5) and a server (7);
the electroencephalogram electrode plate (1) is arranged in the head-wearing structure and used for collecting electroencephalogram signals of a user and sending the collected electroencephalogram signals to the digital-to-analog converter (2);
the digital-to-analog converter (2) is used for performing digital-to-analog conversion on the electroencephalogram signal and sending the converted analog electroencephalogram signal to the microcontroller (3);
the microcontroller (3) removes noise from the analog electroencephalogram signal by adopting GUI software, acquires an electroencephalogram change curve, and sends the electroencephalogram change curve to the receiving end WIFI chip (6);
the sending end WIFI chip (4) and the receiving end WIFI chip (6) carry out wireless communication;
the receiving end WIFI chip (6) sends the electroencephalogram change curve to the computer (5) and the server (7);
the server (7) is used for transmitting the electroencephalogram change curve to the cloud database;
and the computer (5) is used for displaying the electroencephalogram change curve and storing the electroencephalogram change curve.
2. The driving behavior information collecting and detecting system according to claim 1, further comprising an electro-oculogram collecting electrode sheet for collecting electro-oculogram signals and sending the collected signals to the digital-to-analog converter (2).
3. The driving behavior information collecting and detecting system according to claim 2, wherein the digital-to-analog converter (2) comprises 8-channel electroencephalogram signal input terminals and two-channel electrooculogram signal input terminals.
4. The driving behavior information acquisition and detection system according to claim 1, 2 or 3, wherein the sending end WIFI chip (4) and the receiving end WIFI chip (6) are both implemented by ESP32 integrated chips.
5. The driving behavior information collection and detection system according to claim 1, further comprising a power supply module, wherein the power supply module is used for supplying power to the electroencephalogram electrode slice (1), the digital-to-analog converter (2), the microcontroller (3), the sending end WIFI chip (4) and the receiving end WIFI chip (6).
6. A driving behaviour information collection and detection system according to claim 1, 2 or 3, characterised in that the microcontroller (3) is an ARM microcontroller.
7. The system for collecting and detecting driving behavior information of claim 1, further comprising a mobile terminal, wherein the mobile terminal accesses a cloud database through an applet to obtain the electroencephalogram change curve.
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2022
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| US20150038869A1 (en) * | 2011-07-16 | 2015-02-05 | Cerora, Inc. | Systems and methods for the physiological assessment of brain health and the remote quality control of eeg systems |
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