WO2022108348A1

WO2022108348A1 - Hat for warning of sleepiness

Info

Publication number: WO2022108348A1
Application number: PCT/KR2021/016944
Authority: WO
Inventors: 이상훈
Original assignee: 이상훈
Priority date: 2020-11-18
Filing date: 2021-11-18
Publication date: 2022-05-27
Also published as: KR102507840B1; KR20220067777A

Abstract

The present invention relates to a hat for warning of sleepiness, and more particularly, the hat for warning of sleepiness is characterized by comprising: a posture sensing unit installed on one side of a hat; a notification unit installed on one side of the hat; a power supply unit that supplies power to the posture sensing unit and the notification unit; and a control unit that controls the posture sensing unit, the notification unit, and the power supply unit.

Description

drowsy hat

The present invention relates to a hat for warning of drowsiness, and more particularly, to a hat for warning of drowsiness in order to prevent accidents by judging a user's drowsiness through a posture sensing unit and giving a warning to the user.

In general, in modern times, traffic accidents due to drowsy driving and accidents due to drowsiness at industrial sites cause many lives and property damage every year. Drowsiness is the biggest cause of serious traffic accidents, and more than 20% of traffic accidents on highways are caused by driver drowsiness, which accounts for 30% of all fatal accidents. To do this, many methods have been proposed and studied.

As a method for determining the driver's drowsiness state, the prior art uses a method of directly measuring the driver's state using physiological signal measuring equipment or eye tracking equipment or inferring the driver's state through vehicle behavior analysis.

In addition, most of the current research is directed to directly measuring the driver's condition using various advanced equipment or determining the driver's condition using a device that can measure the driver's driving condition. Some products were actually sold, but they were not widely distributed due to problems in cost or detection accuracy.

Even now, many drivers are driving while putting up with drowsiness without getting enough rest or sleep due to their time-pressed work. The possibility of a car accident still remains.

The present invention has been devised in view of the above problems, and an object of the present invention is to determine the user's drowsiness through a posture detecting unit and a notification unit, and a control unit for controlling the same, and to give a warning to the user to prevent an accident It is to provide a hat that warns of drowsiness.

Another object of the present invention is to provide a hat for warning of drowsiness for more precisely controlling the user's head movement through artificial intelligence learning by controlling the control unit through a machine learning algorithm.

* The purpose of the embodiments of the present invention is not limited to the above-mentioned purpose, and other objects not mentioned may be clearly understood by those of ordinary skill in the art to which the present invention belongs from the description below. will be.

According to a feature for achieving the object as described above, the present invention is a posture sensing unit installed on one side of the hat;

a notification unit installed on one side of the hat;

a power supply unit for supplying power to the posture sensing unit and the notification unit;

a control unit for controlling the posture sensing unit, the notification unit, and the power supply unit;

including,

The controller may be provided with a hat warning of drowsiness controlled by applying an artificial intelligence algorithm.

In addition, according to an embodiment of the present invention, the posture sensing unit,

Detect changes in the user's posture,

A hat warning of drowsiness in which the user's head senses movement in the three-axis (x, y, z) directions may be provided.

In addition, according to an embodiment of the present invention, the notification unit,

A hat to warn of drowsiness, which notifies the user through any one of a sound notification through a sound means or a vibration notification through a vibration means, a light notification through a light emitting means, or an electric shock notification through an electric shock means, may be provided. .

In addition, according to an embodiment of the present invention, the power supply unit,

A hat warning of drowsiness may be provided which further includes a switch for turning on/off the power.

battery,

A hat warning of drowsiness may be provided further comprising a charging means for charging the battery.

According to the hat warning of drowsiness of the present invention, there is an effect of preventing an accident in advance by determining the user's drowsiness and giving a warning to the user through the posture detecting unit, the notification unit, and the control unit controlling the same.

In addition, by controlling the control unit through a machine learning algorithm, there is an effect of more precisely controlling the user's head movement through artificial intelligence learning.

1 is a perspective view showing a hat warning of drowsiness according to an embodiment of the present invention;

2 is a block diagram showing the configuration of a control unit of a hat for warning of drowsiness according to an embodiment of the present invention;

3 is a block diagram showing the configuration of a notification unit of a hat for warning of drowsiness according to an embodiment of the present invention;

4 is a block diagram showing the configuration of a power supply unit of a hat for warning of drowsiness according to an embodiment of the present invention;

5 is a block diagram illustrating a detailed configuration of a control unit of a hat for warning of drowsiness according to another embodiment of the present invention.

The following objects, other objects, features and advantages of the present invention will be readily understood through the following preferred embodiments in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments described herein and may be embodied in other forms.

Rather, the embodiments introduced herein are provided so that the disclosed subject matter may be thorough and complete, and that the spirit of the present invention may be sufficiently conveyed to those skilled in the art.

Embodiments described and illustrated herein also include complementary embodiments thereof.

In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, the terms 'comprise' and/or 'comprising' do not exclude the presence or addition of one or more other components.

Hereinafter, the present invention will be described in detail with reference to the drawings. In describing the specific embodiments below, various specific contents have been prepared to more specifically explain and help the understanding of the invention. However, those skilled in the art enough to understand the present invention can recognize that it can be used without these various specific details. In some cases, it is mentioned in advance that in describing the invention, parts that are commonly known and not largely related to the invention are not described in order to avoid confusion in describing the invention.

1 is a perspective view showing a hat for warning of drowsiness according to an embodiment of the present invention, FIG. 2 is a block diagram showing the configuration of a control unit of a hat for warning of drowsiness according to an embodiment of the present invention, FIG. 3 is a block diagram illustrating the configuration of a notification unit of a hat for warning of drowsiness according to an embodiment of the present invention, and FIG. 4 is a block diagram illustrating the configuration of a power supply unit of a hat warning of drowsiness according to an embodiment of the present invention. , FIG. 5 is a block diagram illustrating a detailed configuration of a control unit of a hat for warning of drowsiness according to another embodiment of the present invention.

1 to 5 , the present inventor's hat for warning of drowsiness largely includes a posture detection unit 100 , a notification unit 200 , a power supply unit 300 , and a control unit 400 . .

First, the posture detecting unit 100 is configured to detect a change in the user's posture, but detects the movement of the user's head in the three-axis (x, y, z) directions.

Such, the posture detecting unit 100 can be controlled by transmitting a signal to the controller 300 through wired communication or wireless communication.

More specifically, the posture detecting unit 100 detects the user's posture, that is, the movement of the user's head. A signal in a state tilted along the x-axis is communicated with the control unit 400 to be described below, and a signal in a state where the user's head is tilted toward the y-axis is communicated with the control unit 400 to be described below, and the user's head is A signal in a state inclined along the z-axis is communicated with the control unit 400 to be described below.

The posture detecting unit 100 may be used by selecting any one of a motion sensor, a gyro sensor, a three-axis acceleration sensor, and a hall sensor.

Here, it should be noted that the posture detecting unit 100 is not limited to the above-described sensor, but any sensor capable of detecting a user's motion by those skilled in the art may be applied.

On the other hand, the posture sensing unit 100 is installed on one side of the hat (C), preferably, it is installed on the upper portion of the hat (C) to precisely detect the tilt of the user's head.

Here, the hat (C) is formed to surround the user's head circumference, it is revealed that the awning (B) for shielding the sunlight on one side of the circumference of the hat (C) can be added and formed.

In addition, the hat C may mean clothing or accessories such as a helmet, a bandana, a wearable device, glasses, goggles, etc.

As shown in FIG. 3 , the notification unit 200 is configured to be installed on one side of the hat (C).

The notification unit 200 may be interlocked with the control unit 300 to be described below, and the notification unit 200 may control the control unit 300 by transmitting a signal to each other through wired or wireless communication. have.

In addition, when the notification unit 200 detects the movement of the user's head in the posture detection unit 100, the control unit 300 transmits a signal to the notification unit 200 to recognize that the user is dozing and will notify you of this.

Here, the notification unit 200 is a sound notification through the sound means 210 or a vibration notification through the vibration means 220 or a light notification through the light emitting means 230 or an electric shock notification through the electric shock means 240 Alternatively, the user may be notified through any one of a odor notification through a smell or a fever alarm through heat dissipation.

As an example of the notification unit 200 , the sound means 210 may alert the user that the user is dozing by emitting sounds such as various melodies and warning sounds through a speaker, a loudspeaker, etc. and delivering them to the user.

In particular, the intensity and intensity of the sound output from the sound means 210 may be controlled by the controller 400 . For example, when the user's head is tilted a lot in the posture detecting unit 100 or the user's head is tilted and does not return to the original position, it is determined as an emergency and the sound means 210 in the control unit 400 By controlling the intensity of the sound to be strong, it is possible to inform that it is an emergency.

As another example, the vibrating means 220 may warn that the user is drowsy by emitting vibrations such as various vibration intensity and vibration patterns through a vibrator, an ultrasonic vibrator, and the like and transmitting the vibrations to the user.

In particular, the intensity and intensity of the vibration output from the vibration means 220 may be controlled by the controller 400 . For example, when the user's head is tilted a lot in the posture sensing unit 100 or the user's head is tilted and does not return to the original position, it is determined as an emergency and the vibration means 220 in the control unit 400 It is possible to increase the intensity of the vibration and control the intensity of the vibration to become stronger, thereby signaling an emergency.

As another example, the light emitting means 230 may warn that the user is drowsy by emitting light of various light intensity, color, light pattern, etc. through an LED lighting lamp, a warning lamp, and the like and delivering it to the user.

In particular, the output brightness of the light emitting means 230 and the time for turning on and off can be adjusted in the controller 400 . For example, if the number of times the user's head is tilted in the posture sensing unit 100 or the user's head is tilted and does not return to the original position, it is determined as an emergency and the light emitting means 230 in the control unit 400 It is possible to increase the intensity of the light and control the flashing time to shorten the light to indicate an emergency.

As another example, the electric shock means 240 transmits electric shocks such as the intensity of various electric shocks and patterns of electric shocks to the user through electric shocks, high-frequency shocks, low-frequency shocks, etc. to warn that the user is drowsy. can

Here, it is clarified that the above-mentioned electric shock means an electric shock of low stimulation that is small enough to be recognized by the user's tactile sense as a low stimulation that does not harm the human body.

In particular, the intensity and intensity of the electric shock output from the electric shock means 240 can be adjusted by the control unit 400 . For example, when the user's head is tilted a lot in the posture sensing unit 100 or the user's head is tilted and does not return to the original position, it is determined as an emergency and the electric shock means 240 in the control unit 400 ) to increase the strength of the electric shock, and to control the strength of the electric shock to become stronger, thereby signaling an emergency.

Through this, the notification unit 200 is not limited to the above-described various embodiments, and may be changed to various embodiments by those skilled in the art and used as a means to warn the user of drowsiness.

As shown in FIG. 4 , the power supply unit 300 is configured to supply power to the posture sensing unit 100 and the notification unit 200 .

This, the power supply unit 300 is configured to further include a switch 310 for turning on/off the power, and the user can easily turn on the power of the power supply unit 300 through the switch 310 . It can be turned ON/OFF, and it can be changed to a power saving mode or sleep mode to suit the user's convenience.

In addition, the power supply unit 300 may be interlocked with the control unit 300 to be described below, and the power supply unit 300 may control the control unit 300 by transmitting a signal to each other through wired communication or wireless communication.

In addition, the power supply unit 300 is configured to further include a battery 320 and a charging means 330 for charging the battery 320 .

On the other hand, the power supply unit 300 may implement a power saving function to reduce the power consumption of the battery 320, and it is possible to reduce the power consumption of the battery 320 by switching to automatic/manual, user setting, etc. .

Here, the charging means 330 may be composed of any one or more of a male and female charging terminal for charging the battery 320, a USB type charging terminal, a magnetic resonance type or a magnetic induction type wireless charging pad.

The male and female charging terminals are formed of a pin through which positive power flows, and a cylinder surrounding the outer surface of the pin through which negative power flows, and are connected to a DC adapter.

The USB-type charging terminal is connected to a USB charger to charge the battery 320 and transmit and receive data to upgrade or troubleshoot. In addition, the USB-type charging terminal may supply power to the battery 320 to charge the power supply unit 300 .

In addition, the wireless charging pad can charge the battery 320 by converting a radio wave generated from a wireless charger or a separate terminal (not shown) into power. Of course, it is also possible to provide a transmitter together with a receiver to convert the power of the battery 320 into radio waves and supply it to an external device.

The control unit 400 is configured to control the posture sensing unit 100 , the notification unit 200 , and the power supply unit 300 .

Such, the control unit 400 can be controlled by applying an artificial intelligence algorithm.

More specifically, by applying a machine learning algorithm to the posture detection unit 100 to determine the error data (the degree of movement of the user's head) and increase the error situation recognition rate, the determination rate of the user's activity state or sleeping state can be increased. have.

More specifically, the machine learning algorithm can separate the erroneously measured error data instantaneously due to surrounding disturbances, etc. by learning the data input from the posture sensing unit 100 by applying a specific machine learning algorithm. In this way, data processing in a robust form to instantaneous external noise and the like is possible.

In one embodiment, the machine learning algorithm may apply a binary classification method for learning and determining whether the data input from the sensors is normal or abnormal. In addition, in the case of the above-described Binary Classification, since a lot of time is required for initial learning, there may be a disadvantage that the accuracy of the initially trained model is not high. An instantaneous error in data received from the posture detecting unit 100 can be appropriately handled.

In another embodiment, it is preferable to learn the movement data of the user's head into a plurality of layers by using a Convolutional Neural Network (CNN) method among deep neural network methods for classification of such data, and in particular, SVM (Supported It is desirable to classify the movement of the user's head using a Vector Machine).

In particular, in the case of SVM, by vectorizing the data acquired through the acceleration sensor and learning about the vector, the pattern vectors of the acceleration sensor value generated when the user's head moves and the pattern vectors of the user's head are generated when there is no movement of the user's head By effectively classifying the pattern vectors of the acceleration sensor values, as a result, it is possible to effectively remove noises related to non-surgical procedures from the database.

In addition, as shown in FIG. 5 , the control unit 400 is installed on one side of the awning (B), and may be interlocked with the image capturing unit 410 for photographing the user's body.

Meanwhile, the image capturing unit 410 intensively captures the user's body, that is, the user's body part, such as the user's abdomen and the user's shoulder.

The image capturing unit 410 may be various types of IP cameras, network cameras, webcams, CCTVs, etc. with built-in object recognition algorithm circuitry, and the camera types include a fixed camera, a rotational camera, a dome-type camera, and a box-type camera. , PTZ cameras, etc. can be changed and used as needed, and more preferably, precise shooting can be performed using a vision apparatus.

In addition, the image capturing unit 410 captures an image of a body part designated by the user, such as the user's abdomen and the user's shoulder, and moves the user's abdomen ), it is desirable to analyze the degree of sagging of the user's shoulder.

The image capturing unit 410 is interlocked with the image processing unit 420 interlocked with the control unit 400 to capture images of body parts designated by the user, such as the user's abdomen and the user's shoulder, captured by the image capturing unit 410 . is transmitted to the image processing unit 420 in real time, or an operation of correcting an image of a body part designated by the user, such as the user's abdomen and the user's shoulder, is performed through a programming library such as OpenCV (Open source computer vision). may be

Here, the image of the body part designated by the user, such as the user's abdomen and the user's shoulder, captured by the image capturing unit 410 is transmitted to the control unit 400 by the communication unit 430 interlocked with the control unit 400 . will do

The communication unit 430 may update the artificial intelligence algorithm by means of a separately connected communication means, and communication is possible by wire or wirelessly according to the user's needs.

In addition, the communication unit 430 may be able to extract the user's movement data to be stored in a separately provided server.

The communication unit 430 may include one or more communication modules capable of a wireless communication network, and the communication unit 430 may include a wireless communication or short-range communication module or a location information module.

For example, the wireless communication module refers to a module for wireless Internet access, and the wireless Internet module may be installed externally at any one position of the hat (C) or the awning (B).

As wireless Internet technology, WLAN (Wireless LAN), WiFi (Wireless Fidelity), Wibro (Wireless broadband), Wimax (World interoperability for Microwave Access), HSDPA (High Speed Downlink Packet Access), etc. may be used.

In addition, the short-distance communication module refers to a module for short-distance communication, and the short-distance communication module may be installed externally at any one position of the hat (C) or the awning (B).

As the short-range communication technology, Bluetooth, Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra Wideband (UWB), ZigBee, WiHD, WiGig, etc. may be used.

On the other hand, the control unit 400 communicates with the communication unit 430 through wired/wireless communication and compares the comparison data with the image of the user's designated body part, such as the user's abdomen and the user's shoulder, processed by the image processing unit 420 . .

Here, the comparison data may mean a comparison image of the user before sleep (active state).

In addition, the image of the user's designated body part, such as the user's abdomen and the user's shoulder, is analyzed through the storage and analysis server unit 440 interlocked with the control unit 400. More specifically, the user's abdomen, the user The user's sleeping state by taking an image of the body part designated by the user, such as the shoulder It will be analyzed whether

Here, the storage analysis server unit 440 analyzes an image of a body part designated by the user, such as the user's abdomen and the user's shoulder, through an object recognition algorithm.

For example, it is possible to analyze whether the user is sleeping by analyzing the movement of the user's abdomen (the movement of the abdomen becomes slower during sleep than the heart rate during activity), the degree of sagging of the user's shoulder, and the like.

The object recognition algorithm classifies a specific object of the image into feature values of images of body parts designated by the user, such as the user's abdomen and the user's shoulders, and extracts and analyzes these feature values to recognize whether an object is have.

In addition, a comparison image of the user before sleep (active state) is stored in advance by another object recognition method, and images of the user's body parts such as the user's abdomen and the user's shoulder, which are taken in real time, are compared to determine the difference between the images. The object may be recognized by the method, and as another example, an edge detection algorithm such as a Laplacian edge detection algorithm, a Canny edge detection algorithm, and a Line edge detection algorithm may be used.

In addition, the storage analysis server unit 440 may use object recognition algorithms such as You Only Look Once (YOLO) and Single Shot Multibox Detector (SSD) to simultaneously recognize a plurality of objects.

On the other hand, YOLO is an algorithm that can improve training and detection speed by approaching object recognition by regression and simplifying the overall structure. It is output in the form of a tensor.

This tensor divides the image into a grid shape to express each region, and through this, the region object is recognized. In addition, YOLO has the advantage of fast processing speed and high accuracy for recognizing objects.

In addition, the storage and analysis server unit 440 is used to increase the recognition rate of images of body parts designated by the user, such as the user's abdomen and the user's shoulder, taken by the image capturing unit 410, AdaBoost, a support vector. Algorithms such as a support vector machine (SVM), a linear discriminant analysis (LDA), and a principal component analysis (PCA) may be built-in.

All of these algorithmic techniques identify the region to be recognized based on the appearance, and the recognition accuracy and reliability using a model trained by a set of images of body parts designated by the user, such as the user's abdomen and the user's shoulder, to be used for training can increase

Therefore, according to the hat warning of drowsiness according to the present invention, there is an effect of preventing an accident by judging the user's drowsiness and giving a warning to the user through the posture detecting unit, the notification unit, and the control unit controlling the same.

The embodiments described in this specification and the configurations shown in the drawings are only the most preferred embodiment of the present invention and do not represent all the technical spirit of the present invention, so various equivalents that can be substituted for them at the time of the present application It should be understood that there may be variations and examples.

Claims

Posture sensing unit installed on one side of the hat;

a notification unit installed on one side of the hat;

a power supply unit for supplying power to the posture sensing unit and the notification unit;

a control unit for controlling the posture sensing unit, the notification unit, and the power supply unit;

including,

The control unit is a hat warning of drowsiness, characterized in that the control by applying an artificial intelligence algorithm.
The method according to claim 1,

The posture sensing unit,

Detect changes in the user's posture,

A hat for warning of drowsiness, characterized in that the user's head detects movement in the three-axis (x, y, z) directions.
The method according to claim 1,

The notification unit,

A hat for warning of drowsiness, characterized in that it notifies the user through any one of a sound notification through a sound means, a vibration notification through a vibration means, a light notification through a light emitting means, or an electric shock notification through an electric shock means.
The method according to claim 1,

The power supply unit,

A hat warning of drowsiness, characterized in that it further comprises a switch for turning the power on/off.
5. The method according to claim 4,

The power supply unit,

battery,

A hat warning of drowsiness, characterized in that it further comprises a charging means for charging the battery.