CN112451833A - System and method for detecting and relieving driving fatigue based on personalized music recommender - Google Patents
System and method for detecting and relieving driving fatigue based on personalized music recommender Download PDFInfo
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Abstract
The invention relates to a driving fatigue detection and relief system and a method based on a personalized music recommender, which is characterized in that: the system comprises an electroencephalogram acquisition terminal, an upper computer, a lower computer and a personalized music recommender which are sequentially connected, wherein the electroencephalogram acquisition terminal is used for acquiring electroencephalogram signals of a driver in real time; the upper computer is used for preprocessing the electroencephalogram signals, extracting slow wave frequency band signals in the electroencephalogram signals, calculating a slow wave average power spectrum and slow wave complexity, judging the driving state of a driver according to the average power spectrum and the complexity, and outputting the driving state data to the lower computer; the lower computer controls the personalized music recommender to start a corresponding working mode according to the driving fatigue state data; the personalized music recommender is used for entering a corresponding music playing mode according to a control instruction of the lower computer. The system has simple and applicable structure, low cost and high detection accuracy; the method is scientific and reasonable, has strong applicability and good effect, and can relieve driving fatigue and improve driving safety.
Description
Technical Field
The invention relates to a driving fatigue detection and mitigation system and a driving fatigue detection and mitigation method, in particular to a driving fatigue detection and mitigation system and a driving fatigue detection and mitigation method based on an individualized music recommender.
Background
In recent years, as the number of automobiles is sharply increased, traffic accidents are also increased. There are many factors causing traffic accidents, and among them, fatigue driving by drivers is a main cause of traffic accidents. According to statistical data, the traffic accidents caused by driving fatigue account for about one third of the total accidents; statistics of the United states road traffic management department show that in the last five years, the number of traffic accidents caused by fatigue driving is about 12 thousands per year on average; the Australian traffic management related department finds that the traffic accidents caused by fatigue of drivers each year account for at least 17% of the total annual traffic accidents in the analysis of causes of national traffic accidents; the traffic accident statistics in japan also show that the traffic accidents due to driving fatigue are as high as 35% -45%. Therefore, it is important to accurately and rapidly detect the driving fatigue state of the driver and timely relieve the driving fatigue state.
The traditional methods for relieving mental fatigue of human beings are many, such as reducing the working intensity, having a short rest, drinking caffeine-containing beverage and taking special medicines. In recent years, electrical stimulation has been widely studied as a new method for relieving fatigue of the human body. Studies have shown that a moderate number of cognitive tasks are more beneficial for relieving mental fatigue than a small number of cognitive tasks. However, the above method for relieving driving fatigue adopts more modules, has higher cost and low efficiency, and in addition, the portability and the reliability of the equipment need to be further improved.
Disclosure of Invention
The invention aims to provide a driving fatigue detection and mitigation system based on an individualized music recommender, which has simple and applicable structure, low cost and high detection accuracy, aiming at the problems in the prior art; the driving fatigue detection and mitigation method based on the personalized music recommender is scientific and reasonable, high in applicability and good in effect, can relieve driving fatigue, improves driving safety, and reduces traffic hidden troubles caused by fatigue driving.
The technical scheme adopted for realizing one of the purposes of the invention is that the driving fatigue detection and mitigation system based on the personalized music recommender is characterized in that: the brain wave music recommendation system comprises a brain wave acquisition terminal, an upper computer, a lower computer and a personalized music recommender, wherein the brain wave acquisition terminal is used for acquiring brain wave signals of a driver in real time; the upper computer is used for preprocessing the electroencephalogram signals, extracting slow wave frequency band signals in the electroencephalogram signals, calculating a slow wave average power spectrum and slow wave complexity, judging the driving state of a driver according to the changes of the average power spectrum and the slow wave complexity, and outputting the driving state data to the lower computer; the lower computer controls the personalized music recommender to start a corresponding working mode according to the driving fatigue state data; the personalized music recommender is used for entering a corresponding music playing mode according to a control instruction of the lower computer; the input end of the electroencephalogram acquisition terminal is connected to the cerebral cortex of a driver, the output end of the electroencephalogram acquisition terminal is connected with the upper computer, the upper computer is connected with the lower computer, the lower computer is connected with the personalized music recommender, and the personalized music recommender enters a corresponding music playing mode according to an instruction sent by the lower computer.
Further, the personalized music recommender comprises: the vehicle-mounted terminal comprises a main control unit, an individualized music storage unit, a driver fatigue relieving mode control unit, an individualized music recommendation unit, an alarm unit, a vehicle-mounted terminal and a wireless radio frequency communication unit, wherein the main control unit is respectively connected with the individualized music storage unit, the driver fatigue relieving mode control unit, the individualized music recommendation unit, the alarm unit and the vehicle-mounted terminal through wireless radio frequency communication; the personalized music recommendation unit comprises a music uploading module and a personalized music recommendation module; the music uploading module uploads vehicle-mounted personalized music by using Bluetooth or a U disk and a TF card, the personalized music recommendation module carries out music recommendation according to the average power spectrum of slow waves and the change of the complexity of the slow waves, and the personal music storage unit is used for storing the vehicle-mounted personalized music; the alarm unit comprises a voice reminding module and an LED lamp flashing alarm module; the vehicle-mounted terminal comprises a music retrieval playing unit and a driver fatigue state display module.
Further, the driving fatigue detection and mitigation system based on the personalized music recommender is characterized in that: the working modes of the personalized music recommender comprise a personalized music periodic playing working mode, a personalized music non-periodic playing working mode and an alarm working mode.
Further, the driving fatigue detection and mitigation system based on the personalized music recommender is characterized in that: the personalized music periodic playing working mode is that a music retrieval playing unit of the vehicle-mounted terminal outputs periodic personalized music for relieving driving fatigue.
Further, the driving fatigue detection and mitigation system based on the personalized music recommender is characterized in that: the personalized music aperiodic playing working mode is that a music retrieval playing unit of the vehicle-mounted terminal outputs intermittent personalized music for relieving driving fatigue;
further, the driving fatigue detection and mitigation system based on the personalized music recommender is characterized in that: the alarm working mode is that the voice reminding module and the LED lamp flashing alarm module of the alarm unit prompt a driver to stop for rest.
The technical scheme adopted for realizing the second purpose of the invention is that the driving fatigue detection and mitigation method based on the personalized music recommender is characterized by comprising the following steps:
1) the electroencephalogram acquisition terminal acquires electroencephalogram signals of a driver in a driving process in real time;
2) transmitting the acquired driver electroencephalogram signals to an upper computer;
3) the upper computer utilizes an Independent Component Analysis (ICA) algorithm to preprocess the EEG signal of the AF3 channel, and removes the artifact interference of power frequency noise, the electric eye and the myoelectricity; extracting slow wave frequency band signals in the electroencephalogram signals, calculating a slow wave average power spectrum and slow wave complexity, judging the driving state of a driver according to changes of the average power spectrum and the complexity, and outputting driving state data to a lower computer;
performing Butterworth band-pass filtering on the preprocessed electroencephalogram signals of the driver, and extracting slow wave frequency band signals in the electroencephalogram signals;
calculating a fatigue index F, G:
in the formula, P and P0 are average power spectrums of delta (0.5-4 Hz) and theta (4-8 Hz) rhythms of the current time and the previous 15 minutes of the driver respectively, and L0 are complexity of the delta and theta rhythms of the current time and the previous 15 minutes of the driver respectively;
calculating the current electroencephalogram fatigue index of the driver in real time, and judging the driving state of the driver according to the change of the driving fatigue state of the current electroencephalogram fatigue index: if the fatigue index F is less than or equal to 1.2(1+ h) and G is less than or equal to 1.2(1+ h), the driver is in a normal driving state, and then the step 1 is returned; if the fatigue index is more than 1.2(1+ h) and less than or equal to F and less than or equal to 1.3(1+ h) and more than 1.2(1+ h) and less than or equal to G and less than or equal to 1.3(1+ h), the driver is in a mild fatigue driving state; if the fatigue index is more than 1.3(1+ h) and less than or equal to F and less than or equal to 1.5(1+ h) and more than 1.3(1+ h) and less than or equal to G and less than or equal to 1.5(1+ h), the driver is in a severe fatigue driving state; if F > 1.5(1+ h) and G > 1.5(1+ h), the driver is in an extreme fatigue state; h regulatory factors for individual tolerance differences;
fourthly, transmitting the driving fatigue state data of the driver to the lower computer;
4) the lower computer controls the personalized music recommender to start and enter a corresponding music playing mode according to the driving fatigue state data: if the driver is in a light fatigue driving state, entering an individualized music periodic playing working mode; if the driver is in a severe fatigue driving state, entering a personalized music aperiodic playing working mode; and if the driver is in the extreme fatigue driving state, entering an alarm working mode to prompt the driver to stop for rest.
Compared with the prior art, the driving fatigue detection and relieving system and method based on the personalized music recommender monitor the driving fatigue state of the driver in real time by adopting the electroencephalogram acquisition terminal and the upper computer, and play the personalized fatigue relieving music on the driver in time by adopting the personalized music recommender. The fatigue state of the driver is detected in real time through the electroencephalogram signal multiple fatigue indexes, and in addition, the lower computer can control the personalized music recommender to start and enter different working modes according to the driving state of the driver, so that the working load of the driver is reduced. The driving fatigue detection and mitigation system based on the personalized music recommender has the advantages of simple and applicable structure, low cost and high detection accuracy; the driving fatigue detection and relieving method based on the personalized music recommender is scientific and reasonable, high in applicability and good in effect, driving fatigue can be relieved, driving safety is improved, and traffic hidden dangers caused by fatigue driving are reduced.
Drawings
FIG. 1 is a block diagram of a driving fatigue detection and mitigation system based on a personalized music recommender according to the present invention;
FIG. 2 is a block diagram of the personalized music recommender of FIG. 1;
FIG. 3 is a schematic diagram of the circuit connection between the lower computer and the personalized music recommender in accordance with an embodiment of the present invention;
FIG. 4 is a flowchart of a driving fatigue detection and mitigation method based on a personalized music recommender according to the present invention;
fig. 5 is a flow chart of lower computer data processing and driving fatigue state determination according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings.
The invention discloses a driving fatigue detection and mitigation system based on an individualized music recommender, which comprises an electroencephalogram acquisition terminal, an upper computer, a lower computer and an individualized music recommender, wherein the electroencephalogram acquisition terminal is connected with the upper computer;
the electroencephalogram acquisition terminal is used for acquiring electroencephalogram signals of a driver in real time;
the upper computer is used for preprocessing the electroencephalogram signals, extracting slow wave frequency band signals in the electroencephalogram signals, calculating a slow wave average power spectrum and slow wave complexity, judging the driving state of a driver according to the average power spectrum and the complexity, and outputting the driving state data to the lower computer;
the lower computer controls the personalized music recommender to start a corresponding music playing mode according to the driving fatigue state data;
the personalized music recommender is used for entering a corresponding music playing mode according to a control instruction of the lower computer;
the input end of the electroencephalogram acquisition terminal is connected to the cerebral cortex of a driver, the output end of the electroencephalogram acquisition terminal is connected with an upper computer, the upper computer is connected with a lower computer, the lower computer is connected with a personalized music recommender, the personalized music recommender is installed in a cab, and the personalized music recommender enters a corresponding music playing mode according to an instruction sent by the lower computer;
the brain wave collection terminal adopts the CUBand brain wave appearance, is produced by Beijing Zhongxi distance science and technology limited, and the host computer adopts the PC, and the subordinate computer adopts STM32F103RBT6 model singlechip, as shown in figure 2, individualized music recommender includes: the system comprises a main control unit, an individualized music storage unit, a driver fatigue relieving mode control unit, an individualized music recommendation unit, an alarm unit, a vehicle-mounted terminal and a wireless radio frequency communication unit. The main control unit is respectively connected with the personalized music storage unit, the driver fatigue relieving mode control unit, the personalized music recommendation unit, the alarm unit and the vehicle-mounted terminal through wireless radio frequency communication, and controls all the modules to work cooperatively; the driver fatigue relieving mode control unit comprises a driver fatigue state relieving music classification module and a lower computer instruction receiving module; the personalized music recommendation unit comprises a music uploading module and a personalized music recommendation module; the music uploading module uploads vehicle-mounted personalized music by using Bluetooth or a U disk and a TF card, the personalized music recommending module recommends music according to the average power spectrum of slow waves and the change of the complexity of the slow waves, and the personal music storage unit is used for storing the vehicle-mounted personalized music. The alarm unit comprises a voice reminding module and an LED lamp flashing alarm module; the vehicle-mounted terminal comprises a music retrieval playing unit and a driver fatigue state display module;
the circuit connection between the lower computer and the personalized music recommender of the embodiment is as shown in fig. 3, and comprises a main control unit (STM32F103RBT6 chip circuit), a personalized music recommendation unit, a personalized music storage unit, a driver release mode control unit, an alarm unit and a vehicle-mounted terminal;
as shown in fig. 3, the personalized music recommendation unit includes a CIC481 music integrated circuit, a USB interface and bluetooth as a music upload module, pins 15 and 16 of the CIC481 music integrated circuit are respectively connected with PB0 and PB10 of a main control chip STM32F103RBT6, pins 5 and 6 of a CH340CSOP16 are respectively connected with a PC11 and a PC12 of the main control chip STM32F103RBT6, and a USB to serial port chip controls the USB transceiving signal and the accurate baud rate of the serial port signal; the personalized music storage unit adopts a 24C02 data memory chip, and pins 5 and 6 of the 24C02 data memory chip are respectively connected with PA1 and PA4 of a main control chip STM32F103RBT6, so that personalized music storage is realized; the driver alleviation mode control unit adopts a numerical control potentiometer with the model number x9312 to be connected with a 555 timer (NE555 timing chip) as a control unit, pins 1, 2 and 3 of the numerical control potentiometer A1 are respectively connected with PC6, PB14 and PB15 of a main control chip STM32F103RBT6, and RW of A1 is connected with DIS of the 555 timer. The main control chip STM32F103RBT6 controls the digital potentiometer to output different voltages (0-5V) through pins PC6, PB14 and PB15, the 555 timer outputs pulses with different frequencies according to different voltage values, and finally the functions of automatically controlling the switch of the personalized music recommender and entering a corresponding music playing mode are achieved.
The communication unit is connected with the lower computer and is used for realizing data communication between the music recommender and the lower computer; the alarm unit adopts a loudspeaker Bell (model YHE12-05) and an LED lamp module and is used for prompting the driver to stop for rest when the driver is in an extreme fatigue state.
The realization of the function of relieving the driving fatigue of different music playing modes of the personalized music recommender:
and after receiving the driving state data, the single chip microcomputer (lower computer) judges and sends out an operation instruction to control the operation of the personalized music recommender.
When the personalized music periodically plays the working mode, the 555 timer is closed, and the music retrieval playing unit of the vehicle-mounted terminal outputs the periodically personalized music for relieving the driving fatigue;
when the personalized music non-periodic playing work mode is adopted, the 555 timer is started, and the music retrieval playing unit of the vehicle-mounted terminal outputs intermittent personalized music for relieving driving fatigue;
when the alarm work mode is used, the main control chip STM32F103RBT6 controls the on and off of a loudspeaker (alarm unit) through a pin PC13, and the voice reminding module and the LED lamp flashing alarm module prompt a driver to stop for rest.
The invention discloses a driving fatigue detection and mitigation method based on a personalized music recommender, which comprises the following steps as shown in fig. 4 and 5:
1) the electroencephalogram acquisition terminal acquires electroencephalogram signals of a driver in a driving process in real time;
2) transmitting the acquired driver electroencephalogram signals to an upper computer;
3) the upper computer utilizes an Independent Component Analysis (ICA) algorithm to preprocess the EEG signal of the AF3 channel, and removes the artifact interference of power frequency noise, the electric eye and the myoelectricity; extracting slow wave frequency band signals in the electroencephalogram signals, calculating a slow wave average power spectrum and slow wave complexity, judging the driving state of a driver according to changes of the average power spectrum and the complexity, and outputting driving state data to a lower computer;
performing Butterworth band-pass filtering on the preprocessed electroencephalogram signals of the driver, and extracting slow wave frequency band signals in the electroencephalogram signals;
calculating a fatigue index F, G:
in the formula, P and P0 are average power spectrums of delta (0.5-4 Hz) and theta (4-8 Hz) rhythms of the current time and the previous 15 minutes of the driver respectively, and L0 are complexity of the delta and theta rhythms of the current time and the previous 15 minutes of the driver respectively;
calculating the current electroencephalogram fatigue index of the driver in real time, and judging the driving state of the driver according to the change of the driving fatigue state of the current electroencephalogram fatigue index: if the fatigue index F is less than or equal to 1.2(1+ h) and G is less than or equal to 1.2(1+ h), the driver is in a normal driving state, and then the step 1 is returned; if the fatigue index is more than 1.2(1+ h) and less than or equal to F and less than or equal to 1.3(1+ h) and more than 1.2(1+ h) and less than or equal to G and less than or equal to 1.3(1+ h), the driver is in a mild fatigue driving state; if the fatigue index is more than 1.3(1+ h) and less than or equal to F and less than or equal to 1.5(1+ h) and more than 1.3(1+ h) and less than or equal to G and less than or equal to 1.5(1+ h), the driver is in a severe fatigue driving state; if F > 1.5(1+ h) and G > 1.5(1+ h), the driver is in an extreme fatigue state; h regulatory factors for individual tolerance differences;
fourthly, transmitting the driving fatigue state data of the driver to the lower computer;
4) the lower computer controls the personalized music recommender to start and enter a corresponding music playing mode according to the driving fatigue state data: if the driver is in a light fatigue driving state, entering an individualized music periodic playing working mode; if the driver is in a severe fatigue driving state, entering a personalized music aperiodic playing working mode; and if the driver is in the extreme fatigue driving state, entering an alarm working mode to prompt the driver to stop for rest.
The description of the present invention is not intended to be exhaustive or to limit the scope of the claims, and those skilled in the art will be able to conceive of other substantially equivalent alternatives, without inventive step, based on the teachings of the present invention.
Claims (7)
1. The utility model provides a driving fatigue detection alleviates system based on individualized music recommender which characterized in that: the brain wave music recommendation system comprises a brain wave acquisition terminal, an upper computer, a lower computer and a personalized music recommender, wherein the brain wave acquisition terminal is used for acquiring brain wave signals of a driver in real time; the upper computer is used for preprocessing the electroencephalogram signals, extracting slow wave frequency band signals in the electroencephalogram signals, calculating a slow wave average power spectrum and slow wave complexity, judging the driving state of a driver according to the changes of the average power spectrum and the slow wave complexity, and outputting the driving state data to the lower computer; the lower computer controls the personalized music recommender to start a corresponding working mode according to the driving fatigue state data; the personalized music recommender is used for entering a corresponding music playing mode according to a control instruction of the lower computer; the input end of the electroencephalogram acquisition terminal is connected to the cerebral cortex of a driver, the output end of the electroencephalogram acquisition terminal is connected with the upper computer, the upper computer is connected with the lower computer, the lower computer is connected with the personalized music recommender, and the personalized music recommender enters a corresponding music playing mode according to an instruction sent by the lower computer.
2. The system of claim 1, wherein the system comprises: the personalized music recommender includes: the vehicle-mounted terminal comprises a main control unit, an individualized music storage unit, a driver fatigue relieving mode control unit, an individualized music recommendation unit, an alarm unit, a vehicle-mounted terminal and a wireless radio frequency communication unit, wherein the main control unit is respectively connected with the individualized music storage unit, the driver fatigue relieving mode control unit, the individualized music recommendation unit, the alarm unit and the vehicle-mounted terminal through wireless radio frequency communication; the personalized music recommendation unit comprises a music uploading module and a personalized music recommendation module; the music uploading module uploads vehicle-mounted personalized music by using Bluetooth or a U disk and a TF card, the personalized music recommendation module carries out music recommendation according to the average power spectrum of slow waves and the change of the complexity of the slow waves, and the personal music storage unit is used for storing the vehicle-mounted personalized music; the alarm unit comprises a voice reminding module and an LED lamp flashing alarm module; the vehicle-mounted terminal comprises a music retrieval playing unit and a driver fatigue state display module.
3. The system for detecting and relieving driving fatigue based on the personalized music recommender as claimed in claim 1 or 2, wherein: the working modes of the personalized music recommender comprise a personalized music periodic playing working mode, a personalized music non-periodic playing working mode and an alarm working mode.
4. The system of claim 3, wherein the system comprises: the personalized music periodic playing working mode is that a music retrieval playing unit of the vehicle-mounted terminal outputs periodic personalized music for relieving driving fatigue.
5. The system of claim 3, wherein the system comprises: the personalized music aperiodic playing working mode is that the music retrieval playing unit of the vehicle-mounted terminal outputs intermittent personalized music for relieving driving fatigue.
6. The system of claim 3, wherein the system comprises: the alarm working mode is that the voice reminding module and the LED lamp flashing alarm module of the alarm unit prompt a driver to stop for rest.
7. The system for detecting and relieving driving fatigue based on the personalized music recommender as described in claim 1, wherein the method for detecting and relieving driving fatigue comprises the following steps:
1) the electroencephalogram acquisition terminal acquires electroencephalogram signals of a driver in a driving process in real time;
2) transmitting the acquired driver electroencephalogram signals to an upper computer;
3) the upper computer utilizes an Independent Component Analysis (ICA) algorithm to preprocess the EEG signal of the AF3 channel, and removes the artifact interference of power frequency noise, the electric eye and the myoelectricity; extracting slow wave frequency band signals in the electroencephalogram signals, calculating a slow wave average power spectrum and slow wave complexity, judging the driving state of a driver according to changes of the average power spectrum and the complexity, and outputting driving state data to a lower computer;
performing Butterworth band-pass filtering on the preprocessed electroencephalogram signals of the driver, and extracting slow wave frequency band signals in the electroencephalogram signals;
calculating a fatigue index F, G:
in the formula, P and P0 are average power spectrums of delta (0.5-4 Hz) and theta (4-8 Hz) rhythms of the current time and the previous 15 minutes of the driver respectively, and L0 are complexity of the delta and theta rhythms of the current time and the previous 15 minutes of the driver respectively;
calculating the current electroencephalogram fatigue index of the driver in real time, and judging the driving state of the driver according to the change of the driving fatigue state of the current electroencephalogram fatigue index: if the fatigue index F is less than or equal to 1.2(1+ h) and G is less than or equal to 1.2(1+ h), the driver is in a normal driving state, and then the step 1 is returned; if the fatigue index is more than 1.2(1+ h) and less than or equal to F and less than or equal to 1.3(1+ h) and more than 1.2(1+ h) and less than or equal to G and less than or equal to 1.3(1+ h), the driver is in a mild fatigue driving state; if the fatigue index is more than 1.3(1+ h) and less than or equal to F and less than or equal to 1.5(1+ h) and more than 1.3(1+ h) and less than or equal to G and less than or equal to 1.5(1+ h), the driver is in a severe fatigue driving state; if F > 1.5(1+ h) and G > 1.5(1+ h), the driver is in an extreme fatigue state; h regulatory factors for individual tolerance differences;
fourthly, transmitting the driving fatigue state data of the driver to the lower computer;
4) the lower computer controls the personalized music recommender to start and enter a corresponding music playing mode according to the driving fatigue state data: if the driver is in a light fatigue driving state, entering an individualized music periodic playing working mode; if the driver is in a severe fatigue driving state, entering a personalized music aperiodic playing working mode; and if the driver is in the extreme fatigue driving state, entering an alarm working mode to prompt the driver to stop for rest.
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| CN114613233A (en) * | 2022-03-09 | 2022-06-10 | 东北电力大学 | Interactive installation is used in art teaching of digital media |
| CN116616794A (en) * | 2023-05-18 | 2023-08-22 | 中国人民解放军海军特色医学中心 | Underwater operator fatigue adjustment method and system based on electroencephalogram signals |
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