KR20190115532A - Apparatus for preventing drowsy driving based on measuring electromyography signal - Google Patents

Abstract

According to an embodiment of the present invention, an apparatus for preventing drowsy driving based on measuring an electromyography signal is provided. The apparatus for preventing drowsy driving based on measuring an electromyography signal of a user driving a vehicle comprises: a measuring unit coming in contact with a skin of the user to measure an electromyography signal of the user; a control unit determining a driving state in accordance with the measured electromyography signal based on a predetermined state classification standard, and generating predetermined signals with respect to the determined driving state to output the generated signals; and an output unit receiving the outputted signals, and taking a predetermined step based on the received signals.

Description

Drowsy driving prevention device based on EMG signal measurement {APPARATUS FOR PREVENTING DROWSY DRIVING BASED ON MEASURING ELECTROMYOGRAPHY SIGNAL}

The present invention relates to a drowsiness operation prevention device based on the measurement of the EMG signal, which can prevent the drowsiness operation by measuring the user's EMG signal to determine the user's state and taking appropriate measures in the case of the drowsy state.

In the related art, a drowsiness operation preventing device and a control method thereof capable of preventing an accident caused by drowsiness operation by continuously determining the pressurized state of the accelerator pedal and the movement state of the handle are disclosed.

Specifically, the prior art continuously grasps the pressurization state of the accelerator pedal and the movement state of the handle, and generates a predetermined alarm signal when the pressurization state of the accelerator pedal or the movement state of the handle reaches a value determined as drowsy driving. When the driver's attention is called, and there is no change in the state after a predetermined time until the driver's attention is called, the brake is operated to stop the vehicle, thereby preventing drowsy driving.

However, in the prior art, only the configuration of measuring the pressure state of the accelerator pedal and the movement state of the steering wheel, that is, the amount of change in the driver's behavior, and determining whether the driver is drowsy driving is only disclosed. The configuration of fundamentally determining whether or not the driver is dozing by using information is not disclosed at all.

The information that determines the pressurized state of the accelerator pedal and the movement state of the steering wheel is only information for inferring whether the driver is asleep, and basically, the biometric information of the driver can accurately determine whether the driver is asleep.

Therefore, it is necessary to develop a technology that can prevent drowsy driving by using the biometric information of the driver to accurately determine whether the driver is drowsy.

KR 1019960031843 A

The present invention relates to a device for preventing drowsy driving based on an EMG signal measurement for measuring a user's EMG signal, diagnosing a user's condition by matching the measured EMG signal with a predetermined criterion, and determining whether the user is drowsy. will be.

Drowsiness driving prevention device based on the EMG signal measurement according to an embodiment of the present invention in contact with the user's skin, measuring unit for measuring the EMG signal of the user; A controller configured to determine an operating state according to the measured EMG signal based on a predetermined state classification criterion, generate signals set for the determined operating state, and output the generated signals; And an output unit configured to receive the output signals and take a predetermined action based on the input signals.

The apparatus may further include a transceiver for transmitting the measured EMG signal to an external server and receiving an EMG signal data set from the external server.

The controller may set the preset state classification criteria based on the received EMG signal data set.

If the amount of EMG signal data of the user included in the received EMG signal data set is greater than or equal to a predetermined amount, the controller sets a second state classification criterion based on the EMG signal data of the user and sets the preset state. The driving state according to the measured EMG signal may be determined based on the classification criteria and the second state classification criteria.

The controller may determine the driving state to which the measured EMG signal belongs among the driving states classified according to the predetermined state classification criteria by corresponding the measured EMG signal to the predetermined state classification criteria.

The controller may generate at least one of a window opening signal or a sound output signal when the determined driving state is a warning state, and output the generated signal.

The controller may generate a window opening signal, a sound output signal, and a vibration output signal when the determined driving state is a dangerous state, and output the generated signals.

When the determined driving state is a dangerous state, the controller may generate a driving mode change signal for changing the driving mode of the vehicle to the autonomous driving mode and output the generated signal.

When the output unit receives the generated vibration output signal, the output unit may vibrate the vibration sensors provided around the measurement unit to apply vibration to the skin of the contacted user.

According to the apparatus for preventing drowsiness driving based on the EMG signal measurement according to an embodiment of the present invention, since the user's drowsiness is determined based on the EMG signal of the user, there is an advantage in that the user's drowsiness can be more accurately determined.

Based on the big data analysis technique, state classification criteria are set through the user's EMG signal data set, and the user's driving state is classified according to the measured EMG signal of the user. Therefore, EMG signal analysis is performed through user-defined state classification criteria. There is an advantage to this.

In addition, there is an advantage that the user can be kept awake by alerting the user through predetermined measures set in the driving states of the users classified according to the preset state classification criteria.

In addition, there is an advantage that the user can check the driving state and the measured EMG signals through the application.

BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are included as part of the detailed description in order to provide a thorough understanding of the present invention, provide examples of the present invention and together with the description, describe the technical features of the present invention.
FIG. 1 is a block diagram briefly illustrating a configuration of an drowsiness operation preventing device based on an EMG signal measurement according to an exemplary embodiment of the present invention.
2 is a diagram illustrating an example of a drowsy driving prevention device based on EMG signal measurement according to an embodiment of the present invention.
FIG. 3 is a diagram illustrating another example of the drowsiness driving prevention apparatus based on the EMG signal measurement according to the exemplary embodiment of the present invention.

In this specification, terms such as first and / or second are used only for the purpose of distinguishing one component from another component. In other words, it is not intended to limit the components by the above terms.

Components, features, and steps that are referred to herein as "comprising" mean that such components, features, and steps exist and are intended to exclude one or more other components, features, steps, and equivalents. This is not it.

Unless otherwise specified and stated in the singular, the plural forms are included. That is, the components and the like mentioned herein may mean the presence or addition of one or more other components.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. to be.

In other words, terms such as those defined in the commonly used dictionaries should be construed as meanings consistent with the meanings in the context of the related art, and, unless expressly defined herein, are construed in ideal or overly formal meanings. It doesn't work.

Hereinafter, with reference to the accompanying drawings will be described in detail with respect to the drowsiness driving prevention device based on the EMG signal measurement according to an embodiment of the present invention.

FIG. 1 is a block diagram briefly illustrating a configuration of an drowsiness operation preventing device based on an EMG signal measurement according to an exemplary embodiment of the present invention.

Referring to FIG. 1, the drowsy driving prevention device 100 may include a measurement unit 101, a transmission / reception unit 103, a storage unit 105, a control unit 107, and an output unit 109.

The measuring unit 101 may measure an electromyography signal of the user while being in contact with a part of the user's body.

For example, the drowsiness driving prevention device 100 is formed in the form of a neck cushion, the measurement unit 101 is configured in a position in contact with the user's neck, it can measure the EMG signal of the user. In addition, the drowsiness driving prevention device 100 may be formed without limitation in the form of an arm band or gloves as long as it can be in contact with the user's body.

The driving state of the user may be determined by the controller 107 based on the EMG signal of the user measured by the measuring unit 101. For example, the determined driving state may be classified into a normal state, a warning state in which the user may be asleep quickly, and a dangerous state in which the user is sleeping.

The transceiver 103 may transmit the EMG signal data of the user measured through the measurement unit 101 to an external server.

The EMG signal data of the user transmitted to the external server is stored in the external server, so that the user can check his EMG signal data through an application or the web. For example, the user may recognize a driving state pattern by grasping driving states classified by weather, time zone, or driving distance through an application.

When the transceiver 103 collects an EMG signal data set including EMG signal data of a user stored from an external server, the controller 107 may classify a driving state of the user based on the received EMG signal data set. Classification criteria can be set.

The storage unit 105 may store the state classification criteria set based on the EMG signal data set received from the external server by the transceiver 103.

For example, the control unit 107 sets the state classification criteria that classify the EMG signal data received by the transceiver 103 into a normal state, a warning state, and a dangerous state, and stores the set state classification criteria in the storage unit 105. Can be.

The storage unit 105 may store both the general state classification criteria based on general EMG signal data and the customized state classification criteria based on EMG signal data of the user. In the present embodiment, the state classification criteria for classifying EMG signal data into safety, warning, and dangerous states are set. However, the present disclosure is not limited thereto, and may be further classified according to the strength of the EMG signal.

For example, when the measured amount of EMG signal data of the user is not large enough to set the state classification criteria, the driving state of the user may be determined according to the state classification criteria set based on the general EMG signal data.

On the contrary, if the measured amount of EMG signal data of the user is sufficient to set the customized state classification criteria, since the driving state of the user is determined according to the customized state classification criteria, the driving state of the user can be more accurately determined.

The controller 107 may set a state classification criterion for classifying a driving state of a user by using the EMG signal data set received by the transceiver 103. For example, the controller 107 may set a state classification criteria including a normal state, a warning state, and a dangerous state.

If the EMG signal data of the user is greater than or equal to a predetermined amount among the received EMG signal data sets, the controller 107 may set a user-specific state classification criteria. For example, when the EMG signal data of the user is greater than or equal to a predetermined amount, the controller 107 sets a state classification criterion (first state classification criterion) based on the entire EMG signal data set received by the transceiver 103. A customized state classification criteria (second state classification criteria) may be set based on the EMG signal data of the user.

The controller 107 analyzes the EMG signals included in the received EMG signal data set using a big data analysis technique to determine the user's state through the EMG signal measured by the measuring unit 101. Classification criteria can be set.

For example, the set state classification criteria may include a safety state in which the user wakes up, a dangerous state in which the user slumbers, and a warning state in between the safety state and the dangerous state.

The controller 107 may apply the set state classification criteria to the storage 105.

When the measurement unit 101 measures the EMG signal of the user, the control unit 107 removes noise from the measured EMG signal, and then corresponds the state classification criteria stored in the storage unit 105 to the removed EMG signal. The driving state of the corresponding user may be determined among the driving states included in the state classification criteria. Thereafter, the control unit 107 can output the action set in the determined driving state through the output unit 109.

For example, when the determined driving state of the user is in a normal state, the controller 107 may not take any action.

When the determined driving state of the user is in a warning state, the controller 107 may generate a window open signal for opening and ventilating a window of the vehicle and transmit the generated signal to the output unit 109. Alternatively, the controller 107 may generate a sound output signal for outputting a predetermined sound signal and output the generated signal to the output unit 109. The output unit 109 opens the window of the vehicle when the window opening signal is input, and outputs a predetermined sound when the sound output signal is input, thereby attracting the user's attention.

When the determined driving state of the user is a dangerous state, the control unit 107 generates a vibration output signal for applying vibration to the user's body in contact with the measuring unit 101 and simultaneously generates a sound output signal and a window opening signal. To be output to the output unit 109. The output unit 109 outputs a predetermined sound while stimulating the user by vibrating the user's body when the vibration output, the sound output, and the window opening signal are input, and opens the window of the vehicle, You can wake up.

In addition, the controller 107 changes the driving mode for operating the autonomous driving mode together with the vibration output, the sound output, and the window opening signal when the determined driving state of the user is in a dangerous state and the vehicle is provided with the autonomous driving mode. A signal may be generated and the generated driving mode change signal may be output to the output unit 109. When the driving mode change signal is input, the output unit 109 may change the driving mode of the vehicle to the autonomous driving mode to prevent an accident caused by the user's drowsy driving in advance.

When the output unit 109 receives at least one of a window opening signal, a sound output signal, a vibration output signal, or a driving mode change signal from the controller 107, the output unit 109 may output an input corresponding to the received signal.

For example, the output unit 109 may open the window when the window open signal is input, and output a predetermined sound when the sound output signal is input.

In addition, when the output unit 109 receives the vibration output signal, the output unit 109 may vibrate the vibration sensors provided in the vicinity of the measuring unit 101 in contact with the user's body to apply a stimulus to the user's body. For example, if the drowsy driving prevention device 100 is formed in the form of a neck cushion, the drowsiness driving prevention device 100 may vibrate by the output of the output unit 109 to massage the user's neck.

2 is a diagram illustrating an example of a drowsy driving prevention device based on EMG signal measurement according to an embodiment of the present invention.

Referring to FIG. 2, the drowsiness driving prevention device 100 may be manufactured in the form of a neck pillow or a neck cushion that can be worn on the neck.

The measurement unit 101 may be located at a part in contact with the user's body and measure an EMG signal of the user.

In this example, when the vibration sensors included in the output unit 105 (not shown) are positioned around the measurement unit 101 and receive a vibration output signal from the control unit 107, the output unit 105 operates the vibration sensors. It can irritate your neck.

The transceiver 103 may be located at a location that does not interfere with the contact between the user and the measurement unit 101 as in this example. The transceiver 103 may transmit the EMG signal of the user measured by the measurement unit 101 to an external server to store user-specific EMG signal data.

When the amount of EMG signal data of the user is collected in a predetermined amount or more, the controller 107 may set a second state classification criterion based on the EMG signal data of the user.

Since the controller 107 may determine the driving state of the user even using the second state classification criteria set based on the EMG signal data of the user, the controller 107 may use the state classification criteria set based on the general EMG signal data. Rather than determining the driving state of the user, it is possible to accurately determine the driving state of the user.

FIG. 3 is a diagram illustrating another example of the drowsiness driving prevention apparatus based on the EMG signal measurement according to the exemplary embodiment of the present invention.

In detail, FIG. 3 is a diagram illustrating an example in which an EMG signal measured by the drowsy driving prevention device 100 may be confirmed in a user terminal through an application.

Referring to FIG. 3, the measuring unit 101 may be attached to a user's hand and arm to measure an EMG signal of the user.

The EMG signal of the user measured by the measuring unit 101 may be transmitted to the external server through the transceiver 103. In this example, the external server corresponds to an application server that checks the EMG signal of the user.

The user may check the measured EMG signal of the user by accessing the application through the user terminal.

The user's EMG signals transmitted to the external server are stored in the external server, and the user can prevent drowsy driving in advance by grasping his / her driving state by time zone and mileage through the measured change of his EMG signal. .

Although the description herein has been shown in some illustrative aspects, various modifications or changes may be made from the scope defined by the claims that follow, and the technical protection scope of the invention is set forth in the following claims. It must be decided by.

100: drowsiness driving prevention device
101: measuring unit
103: transceiver
105: storage unit
107: control unit
109: output unit

Claims (8)

In the drowsiness driving prevention device based on the measurement of the EMG signal of the user driving the vehicle,
A measuring unit measuring the EMG signal of the user in contact with the skin of the user;
A controller configured to determine an operating state according to the measured EMG signal based on a predetermined state classification criterion, generate signals set for the determined operating state, and output the generated signals; And
And an output unit configured to receive the output signals and take a predetermined action based on the input signals.
Drowsy driving prevention device based on EMG signal measurement. The method of claim 1,
And transmitting and receiving the EMG signal to an external server, and receiving and receiving an EMG signal data set from the external server.
The control unit,
Setting the predetermined state classification criteria based on the received EMG signal data set;
Drowsy driving prevention device based on EMG signal measurement. The method of claim 2,
The control unit,
When the amount of EMG signal data of the user included in the received EMG signal data set is greater than or equal to a predetermined amount,
Setting a second state classification criterion based on the EMG signal data of the user, and determining a driving state according to the measured EMG signal based on the preset state classification criteria and the second state classification criterion, respectively.
Drowsy driving prevention device based on EMG signal measurement. The method of claim 1,
The control unit,
Determining the driving state to which the measured EMG signal belongs among the operating states classified according to the predetermined state classification criteria by corresponding the measured EMG signal to the predetermined state classification criteria;
Drowsy driving prevention device based on EMG signal measurement. The method of claim 1,
The control unit,
If the determined operating state is a warning state,
Generating at least one of a window opening signal or a sound output signal and outputting the generated signal;
Drowsy driving prevention device based on EMG signal measurement. The method of claim 1,
The control unit,
If the determined operating state is a dangerous state,
Generating a window opening signal, a sound output signal and a vibration output signal, and outputting the generated signals,
Drowsy driving prevention device based on EMG signal measurement. The method of claim 6,
The control unit,
If the determined operating state is a dangerous state,
Generating a driving mode change signal for changing the driving mode of the vehicle to the autonomous driving mode, and outputting the generated signal;
Drowsy driving prevention device based on EMG signal measurement. The method of claim 6,
The output unit,
When receiving the generated vibration output signal,
By vibrating the vibration sensors provided around the measuring unit, applying vibration to the skin of the contacted user,
Drowsy driving prevention device based on EMG signal measurement.