TWI532621B - Fatigue driving judgment system and its method - Google Patents

Description

Fatigue driving judgment system and method thereof

The present invention relates to a method for monitoring whether a driving is fatigued, and more particularly to a fatigue driving judgment system and method thereof.

The main cause of accidents in car accidents comes from the driver. The reason may be that the driver is not able to drive the vehicle due to lack of concentration, fatigue or illness. Therefore, many safety systems warn of abnormal behaviors of the driver when the driver is abnormal. Generally, systems that detect abnormal behavior are such as Lane Departure Warning System (LDWS), Front Impact Warning System (FCW), and automatic emergency braking. Active security system such as Autonomous Emergency Braking System (AEB).

However, when it is said that only the physiological conditions of driving are monitored, only a small part of the system monitors the physiological state of driving. Furthermore, because each person has different degrees of fatigue tolerance, such as using a single standard physiological condition to judge the degree of fatigue of each individual, it may cause excessive warning or no warning, so it may still cause danger to driving and cause traffic accidents. .

In view of the above, the present invention proposes a fatigue driving judgment system and method thereof to effectively overcome the above problems in view of the above-mentioned shortcomings of the prior art.

The main object of the present invention is to provide a fatigue driving judgment system and a method thereof The method can collect the physiological condition of the same driving and the body deviation state for a long time to calculate a linear equation. By determining the linear equation, the physiological condition of the driving can be reminded before the vehicle body shift occurs. Displacement of the vehicle can effectively prevent the driving physiological condition from continuing to drop to generate a traffic accident.

Another object of the present invention is to provide a fatigue driving judgment system and a method thereof The method can be combined with a variety of sensor detection, can observe the state of the driver in multiple directions, and can more accurately achieve personalized state monitoring.

In order to achieve the above object, the present invention provides a fatigue driving determination method, the steps of which are The method includes: first, using a detecting device to load a plurality of reference physiological values and a plurality of reference body offset values, to generate a linear statistical equation by using a processor to calculate a complex reference physiological value and a plurality of body offset values; The device loads a human physiological value for the processor to substitute the personal physiological value into a linear statistical equation to generate a predicted body offset value; the processor then determines whether the predicted body offset value is greater than a body offset preset value, if Then generate a warning signal, if otherwise return to the step of loading a person's physiological value.

In order to achieve the above object, the present invention also provides a fatigue driving judgment system, which The utility model comprises a processor electrically connected to a physiological detecting device and a storage device, wherein the physiological detecting device can generate at least one human physiological value to the processor, and the storage device is configured to store a linear equation; the processor can receive the physiological detecting device to generate The personal physiological value, and draw a linear statistical equation in the storage device to substitute the personal physiological value into the linear statistical equation to generate a predicted body offset value, and the processor then determines whether the predicted body offset value is greater than a body bias. The preset value is shifted, and if the predicted body offset value exceeds the preset value of the body offset, a warning signal is generated to the display electrically connected to the processor to display a warning image according to the warning signal.

The purpose, technical content, features and effects achieved by the present invention will be more readily understood by the detailed description of the embodiments.

1‧‧‧Fast driving judgment system

10‧‧‧ Physiological testing device

12‧‧‧Storage device

14‧‧‧ Processor

16‧‧‧ display

18‧‧‧Sound components

20‧‧‧ driving image detection device

22‧‧‧ Body offset detection device

The first figure is a system block diagram of an embodiment of the present invention.

The second figure is a flowchart of a method according to an embodiment of the present invention.

The third figure is a schematic diagram of numerical values loaded at different time points according to an embodiment of the present invention.

The fourth figure is a schematic diagram of generating a linear statistical equation according to an embodiment of the present invention.

Referring to the first figure, as shown, the fatigue driving judgment system 1 includes a physiological detecting device 10 for generating a human physiological value and a storage device 12 for storing a linear statistical equation. The physiological detecting device 10 and the storage device 12 are electrically Connected to a processor 14, the processor 14 accepts personal physiological values and retrieves linear statistical equations stored in the storage device 12 to substitute individual physiological values into linear statistical equations to generate a predicted body offset value for processing. The device 14 can determine whether the predicted vehicle body offset value is greater than a body offset preset value. If the predicted vehicle body offset value exceeds the vehicle body offset preset value, a warning signal is generated; the warning signal can be transmitted to the processor 14 In a display 16 that is electrically connected, the display 16 can display a warning image according to the warning signal to remind the driving. Of course, the processor 14 can be electrically connected to a sound component 18, which can simultaneously receive the warning signal and generate the warning signal according to the warning signal. A warning sound is issued to alert the user that the current physiological state is unstable. In addition to detecting fatigue, the above-described physiological detecting device 10 can detect other characteristics such as alcohol concentration and disease. Furthermore, the above linear statistical equation (1) is established based on the relationship between the predicted body offset value and the individual physiological value. The relationship between the two is as follows: X = βY + C (1); X is the predicted body offset value; Y is the individual physiological value; C is a constant; β is the slope.

Next, please refer to the first figure. The above linear statistical equation can be established by the relationship between the predicted body offset value, the personal physiological value and the personal driving image value. The relationship between the three is as follows: X=βY +C _Z +C (2); X is the predicted body offset value; Y is the individual physiological value; C _Z is the personal driving image value; C is a constant; β is the slope. Therefore, the processor 14 is electrically connected to the driving image detecting device 20 in addition to the physiological detecting device 10 and the storage device 12. The driving image detecting device 20 can image the driver's eyes or the head swinging. To determine whether the driving is fatigued, to generate a person driving image value into the processor 14, the personal driving image value is provided into the linear statistical equation (2) to generate a predicted body offset value. In order to increase the accuracy of the calculation, it is decided to substitute the personal driving image value into the linear statistical equation according to the user's needs, and calculate the predicted body offset value.

As can be seen from the above, when the processor 14 only receives the personal physiological value, the linear statistical equation (1) is used to generate the predicted body offset value. When the processor 14 can simultaneously receive the personal physiological value and the personal driving image value, The linear statistical equation (2) can then be used to generate a predicted body offset value.

After the structure of the embodiment is described, the method flow steps of the embodiment are successively described to fully explain how the linear statistical equation of the present invention is generated and the complete method flow. Please refer to the first figure and the second figure. As shown in the figure, first, the process proceeds to step S10, and the physiological detection device is installed. The set 10 generates a plurality of reference physiological values, and the body offset detecting means 22 generates a plurality of reference body offset values. In the process of loading the plurality of reference physiological values and the plurality of reference body offset values, the driving image detecting device 20 is further utilized. Loading the plural reference driving image values, the table shown in the third figure is generated, which displays the reference physiological value, the reference body offset value and the reference driving image value at each different time point, the third figure The long strip system shown in the figure represents the value, and the longer the long strip object, the higher the value. As shown in the figure, it can be seen from the third time point that the reference driving image value rises, indicating that the driving has produced an unfocused condition, and the reference vehicle body offset value also indicates that the vehicle body is offset. At this time, it can be judged that the driving system is not focused. Driving, which causes the body to shift, is not caused by the abnormality of the physiological state, so the reference body offset value and the reference driving image value at the third time point can be filtered out to avoid confusing statistics. After receiving these values, please refer to the fourth figure at the same time, and draw a linear line based on the complex reference physiological value and the complex reference body offset value to generate a linear statistical equation (1), which is as follows: X= βY+C (1); X is the predicted body offset value; Y is the individual physiological value; C is a constant; β is the slope.

The linear statistical equation above can be added to a human driving image to form the following linear statistical equation (2): X = βY + C _Z + C (2); X is the predicted body offset value; Y is the individual physiological value ; C _Z is the personal driving image value; C is a constant; β is the slope. The difference between the linear statistical equation (2) and the linear statistical equation (1) is only to increase the value of a person's driving image. The purpose is to increase a determinable value to increase the accuracy of the calculated predicted body offset value. Once the linear statistical equation is generated, it can be stored in the storage device 12 and become a humanized linear statistical equation for storage in the storage device 12.

Choose the formula using linear statistical equation (1) and linear statistical equation (2) The method is that when the processor 14 only receives the personal physiological value, the linear statistical equation (1) is used to generate the predicted body offset value; but if the processor 14 can simultaneously receive the personal physiological value and the personal driving image value Then, the linear statistical equation (2) is used to generate the predicted body offset value to increase the accuracy of predicting the body offset value.

Next, please refer to the first figure and the second figure. This embodiment uses linear examples. Statistical equation (2). The personalized linear statistical equation (2) is generated according to step S10, and stored in the storage device 12, and then proceeds to step S12, and the processor 14 can obtain the personalized linear statistical equation conforming to the driving after confirming the driving identity. 2), the physiological value is taken by the physiological detecting device 10, and the driving image detecting device 20 obtains the driving image value of one person, and then the personal physiological value and the personal driving image value are substituted into the linear statistical equation (2) to generate the predicted body. Offset value, of course, the personal driving image value can be substituted or not substituted, and the personal driving image value is substituted to increase the accuracy calculated by predicting the body offset value. Therefore, this example is an example of substituting the body offset value to increase The accuracy of the calculation.

After generating the predicted body offset value, the process proceeds to step S14, where the passage is made. The processor 14 determines whether the predicted body offset value is greater than a body offset preset value. If so, as shown in step S16, the processor 14 generates an alert signal to the display 16 and the sound component 18 to cause the display 16 and the sound component 18 to be The warning image display and the warning sound may be separately generated to remind the driving that the vehicle may start to be offset due to the current poor physiological condition; if not, the process returns to step S12 to cause the physiological detecting device 10 and the driving image detection. Device 20 continues to load personal physiological numbers The value and the value of the personal driving image are used to continuously judge whether the driving can continue driving. In addition, the processor 14 can more continuously receive the personal body offset value generated by the body offset detecting device 22, and the personal physiological value generated by the physiological detecting device 10, according to the continuously loaded personal body offset value and Personal physiological values to update the linear line of the fourth graph, thereby updating the linear statistical equations to arrive at a more linear linear statistical equation.

In addition, in this embodiment, the above warning signal can be effectively distinguished into low. The warning signal, the medium warning signal and the high warning signal are classified in the processor 14 with a body offset low warning value and a body offset warning value, if the predicted vehicle body offset value is lower than the vehicle body offset low warning value. The processor 14 generates a low warning signal to the display 16 and the sound component 18, so that the display 16 displays a low warning image according to the low warning signal, and the sound component 18 can generate a low warning sound according to the low warning signal; The shift value is between the vehicle body offset low warning value and the vehicle body offset warning value, and the processor 14 generates a warning signal to the display 16 and the sound component 18, so that the display displays a warning image according to the middle warning signal. The sound component 18 can generate a warning sound according to the middle warning signal; if the predicted vehicle body offset value is higher than the vehicle body offset warning value, the processor 14 generates a high warning signal to the display unit 16 and the sound component 18 to make the display 16 according to the high warning signal to display a high warning image, the sound component 18 can generate a high warning sound according to the high warning signal, thereby distinguishing each Warning signal levels. In this embodiment, when the warning signal is generated, it indicates that the physiological condition of the driving has reached the warning point of the vehicle body deviation. If the physiological condition continues to decrease, it indicates that the vehicle body may be offset, and driving may cause danger, so a medium should be generated. The warning signal reminds the driver to respond to the spirit; if it is judged that a high warning signal is generated, it indicates that the vehicle body has been seriously offset, and the physiological condition of the driving is also abnormal. The driver should stop and rest at this time to avoid a traffic accident.

In summary, the present invention can collect the physiological condition of the same driving for a long time and The body offset condition is calculated by a linear equation, and by the judgment of the linear equation, before the vehicle body shift occurs, the physiological condition at the time of driving may be prompted to cause the vehicle to shift, and the spirit or the parking should be rested. It can effectively avoid the continuous decline of driving physiological conditions and cause traffic accidents. Moreover, the present invention can be combined with a plurality of sensors to detect the state of the driver in multiple directions, and can more accurately achieve personalized state monitoring.

The above is only the preferred embodiment of the present invention and is not intended to limit the scope of the present invention. Therefore, any changes or modifications of the features and spirits of the present invention should be included in the scope of the present invention.

1‧‧‧Fast driving judgment system

10‧‧‧ Physiological testing device

12‧‧‧Storage device

14‧‧‧ Processor

16‧‧‧ display

18‧‧‧Sound components

20‧‧‧ driving image detection device

22‧‧‧ Body offset detection device

Claims (9)

A fatigue driving determination method, the method comprising: (A) loading a plurality of reference physiological values and a plurality of reference body offset values by using a detecting device, using a processor to count the reference physiological values and the reference body offset values Generating a linear statistical equation; (B) the detecting device loads at least one human physiological value and a human driving image value, and the processor substitutes the personal physiological value and the personal driving image numerical value into the linear statistical equation to generate a predicted vehicle body An offset value, wherein the linear statistical equation multiplies the individual physiological value by a slope, plus the personal driving image value and a constant to calculate the predicted body offset value; and (C) the processor determines the prediction Whether the body offset value is greater than a preset value of the body offset, and if so, a warning signal is generated; if not, then returning to step (B). The fatigue driving judging method according to claim 1, wherein the step of loading the reference physiological values and the reference body offset values in the step (A) further load the plurality of reference driving image values, if The reference vehicle body offset value and the reference driving image value may be filtered out when the reference driving image value is determined to be the unfocused intent of the reference driving image value, and the reference body offset value generates an offset value. The fatigue driving determination method according to claim 1, wherein the preset value of the vehicle body offset of the step (C) further comprises a body offset low warning value, and a body offset warning value, if the predicted body deviation If the shift value is lower than the vehicle body offset low warning value, a low warning signal is generated; if the predicted vehicle body offset value is between the vehicle body offset low warning value and the vehicle body offset warning value, a middle A warning signal; if the predicted body offset value is higher than the warning value of the body offset, a high warning signal is generated. The fatigue driving judging method according to claim 1, wherein the step (B) further comprises receiving a person body offset value and the personal physiological value to update the linear statistic according to the personal body offset value and the personal physiological value. equation. A fatigue driving judgment system includes: a physiological detecting device to generate at least one human physiological value; a storage device to store a linear statistical equation; a driving image detecting device to generate a human driving image value; a processor, electrical Connecting the driving image detecting device, the physiological detecting device and the storing device, the processor accepting the personal physiological value and the personal driving image value, and taking the linear statistical equation, and substituting the personal physiological value into the linear statistical equation And generating a predicted body offset value, and determining whether the predicted body offset value is greater than a body offset preset value, and generating a warning signal if the predicted body offset value exceeds the body offset preset value, Wherein the linear statistical equation multiplies the individual physiological value by a slope, and adds the personal driving image value and a constant to calculate the predicted body offset value; and a display electrically connected to the processor to receive the A warning signal is displayed, and a warning image is displayed according to the warning signal. The fatigue driving judgment system of claim 5, wherein the display further comprises a sound component electrically connected to the processor to receive the warning signal and generate a warning sound according to the warning signal. The fatigue driving judgment system of claim 5, wherein the preset value of the vehicle body offset in the processor further comprises a body offset low warning value and a body offset warning value, if the predicted body If the offset value is lower than the vehicle body offset low warning value, a low warning signal is generated to the display, so that the display displays a low warning image according to the low warning signal; if the predicted vehicle body offset value is between the vehicle body bias Between the lowering of the warning value and the warning value of the vehicle body offset, a warning signal is generated to the display, so that the display displays a warning image according to the warning signal; if the predicted body offset value is higher than the The warning value in the body offset generates a high warning signal to the display, so that the display displays a high warning image according to the high warning signal. The fatigue driving judgment system according to claim 5, further comprising a body offset detecting device electrically connected to the processor to generate a plurality of reference body offset values, wherein the physiological detecting device can generate a plurality of reference physiological values, the processing Based on the reference physiological values and the reference body offset values, a linear statistical equation is generated. The fatigue driving judging system of claim 8, wherein the body offset detecting device further generates at least one human body offset value to the processor to update the personal body offset value and the personal physiological value. Linear statistical equations.