CN113066264A - Fatigue state identification method and desk lamp - Google Patents

Fatigue state identification method and desk lamp Download PDF

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Publication number
CN113066264A
CN113066264A CN202110199216.5A CN202110199216A CN113066264A CN 113066264 A CN113066264 A CN 113066264A CN 202110199216 A CN202110199216 A CN 202110199216A CN 113066264 A CN113066264 A CN 113066264A
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image
fatigue state
controller
face
acquiring
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江跃龙
黄震
李颖琪
熊梦欣
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Guangzhou Railway Polytechnic
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Guangzhou Railway Polytechnic
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/06Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F21LIGHTING
    • F21VFUNCTIONAL FEATURES OR DETAILS OF LIGHTING DEVICES OR SYSTEMS THEREOF; STRUCTURAL COMBINATIONS OF LIGHTING DEVICES WITH OTHER ARTICLES, NOT OTHERWISE PROVIDED FOR
    • F21V33/00Structural combinations of lighting devices with other articles, not otherwise provided for
    • F21V33/0004Personal or domestic articles
    • F21V33/0052Audio or video equipment, e.g. televisions, telephones, cameras or computers; Remote control devices therefor
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F21LIGHTING
    • F21VFUNCTIONAL FEATURES OR DETAILS OF LIGHTING DEVICES OR SYSTEMS THEREOF; STRUCTURAL COMBINATIONS OF LIGHTING DEVICES WITH OTHER ARTICLES, NOT OTHERWISE PROVIDED FOR
    • F21V33/00Structural combinations of lighting devices with other articles, not otherwise provided for
    • F21V33/0004Personal or domestic articles
    • F21V33/0052Audio or video equipment, e.g. televisions, telephones, cameras or computers; Remote control devices therefor
    • F21V33/0056Audio equipment, e.g. music instruments, radios or speakers
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation
    • G06V40/171Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Image Analysis (AREA)

Abstract

The fatigue state identification method provided by the embodiment of the invention comprises the following steps: acquiring an image of an object; carrying out face recognition on the image to acquire a face in the image; identifying human eyes in the face according to the AdaBoost algorithm to obtain the eyes of the face; counting the eye closing frequency of the facial features in a plurality of groups of images according to a PERCLOS algorithm to obtain a statistical result; judging whether the statistical result exceeds a preset threshold value or not, and judging that the object is in a fatigue state when the statistical result exceeds the preset threshold value; and when the statistical result does not exceed a preset threshold value, judging that the object is in a non-fatigue state. Therefore, the technical problems of humpback and vision problems caused by tiredness during office work or working hours, head sinking and swinging and back bending and stretching states for a long time in the prior art are effectively solved.

Description

Fatigue state identification method and desk lamp
Technical Field
The invention relates to the technical field of intelligent protection, in particular to a fatigue state identification method and a desk lamp.
Background
With the importance of China on the quality problem of the crowd at each stage, the bad vision proportion in the young people is up to 87.28 percent according to incomplete statistics; although our country proposes to shorten the eye-wearing time in recent years, it is still not optimistic.
When tired during working or working, the patient does not stay in the state of head sinking and shaking and back bending and stretching for a long time, which causes humpback and vision problems.
Disclosure of Invention
In order to solve the above problems, an object of the present invention is to provide a fatigue state identification method, which is used to solve the technical problems of kyphosis and eyesight problems caused by long-time head sinking and shaking and back bending and stretching states when people are tired in offices or offices.
In order to solve the technical problem, the embodiment of the invention adopts the following technical scheme:
the embodiment of the invention provides a fatigue state identification method, which comprises the following steps:
acquiring an image of an object;
carrying out face recognition on the image to acquire a face in the image;
identifying human eyes in the face according to the AdaBoost algorithm to obtain the eyes of the face;
counting the eye closing frequency of the facial features in a plurality of groups of images according to a PERCLOS algorithm to obtain a statistical result;
judging whether the statistical result exceeds a preset threshold value,
when the statistical result exceeds a preset threshold value, judging that the object is in a fatigue state;
and when the statistical result does not exceed a preset threshold value, judging that the object is in a non-fatigue state.
Further, the step of performing face recognition on the image to obtain the face in the image specifically includes:
based on YCbCr color space, a two-dimensional Gaussian distribution mathematical model based on skin color is established,
and combining the skin color similarity and the human face shape characteristic to perform face recognition on the image to acquire the face in the image.
Further, the step of acquiring an image of the object further comprises:
it is determined whether the object is located in a preset area,
when the object is located in a preset area, acquiring an image of the object;
when the object is located in the preset area, the image of the object is not acquired.
Further, when the object is located in a preset region, acquiring the image of the object specifically includes:
and when the object is positioned in a preset area, judging whether the object is in a working state, and when the object is in the working state, acquiring an image of the object.
Further, when the object is in the working state, the step of acquiring the image of the object further includes:
when the object is in a motion state, obtaining motion information of the object;
judging whether the object is close to a preset barrier or not according to the motion information of the object, and sending out prompt information when the object is close to the preset barrier;
and when the object is not close to the preset barrier, no prompt message is sent.
Further, when the judgment object is in a fatigue state, voice prompt is broadcasted and preset music is broadcasted.
The embodiment of the invention also provides a desk lamp capable of identifying fatigue states, which comprises:
an acquisition device for acquiring an image of an object;
and the controller is electrically connected with the acquisition device and is used for executing the fatigue state identification method according to the image of the object acquired by the acquisition device.
Further, the desk lamp further comprises:
and the reminding device is electrically connected with the controller and is used for sending out a reminding signal when the object is judged to be in the fatigue state in the controller.
Further, the desk lamp further comprises:
the lamp holder is electrically connected with the controller;
and the first switch is connected with the controller and is used for controlling the power-on and power-off of the ultraviolet lamp on the lamp holder.
Further, the desk lamp further comprises:
the power supply is electrically connected with the controller and the reminding device;
the wireless charger is electrically connected with the controller and the power supply and is used for charging the mobile terminal arranged on the wireless charger;
a display electrically connecting the power supply 1000 and the controller;
and the second switch is electrically connected with the power supply 1000 and the controller and is used for controlling the power-on and power-off of the controller.
Compared with the prior art, the embodiment of the invention has the beneficial effects that:
the embodiment of the invention provides a fatigue state identification method, which comprises the following steps: acquiring an image of an object; carrying out face recognition on the image to acquire a face in the image; identifying human eyes in the face according to the AdaBoost algorithm to obtain the eyes of the face; counting the eye closing frequency of the facial features in a plurality of groups of images according to a PERCLOS algorithm to obtain a statistical result; judging whether the statistical result exceeds a preset threshold value or not, and judging that the object is in a fatigue state when the statistical result exceeds the preset threshold value; and when the statistical result does not exceed a preset threshold value, judging that the object is in a non-fatigue state. Therefore, the technical problems of humpback and vision problems caused by tiredness during office work or working hours, head sinking and swinging and back bending and stretching states for a long time in the prior art are effectively solved.
The embodiment of the invention also provides a desk lamp capable of identifying fatigue states, which comprises: an acquisition device for acquiring an image of an object; and the controller is electrically connected with the acquisition device and is used for executing the fatigue state identification method according to the image of the object acquired by the acquisition device. The technical problems of kyphosis and eyesight problems caused by long-time head sinking and shaking and back stretching during office work or tiredness during office work in the prior art are effectively solved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a fatigue state identification method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a fatigue state identification desk lamp according to an embodiment of the present invention;
fig. 3 is a schematic circuit diagram of a fatigue state identification desk lamp according to an embodiment of the present invention.
Wherein:
100. a lamp cap; 200. a platform body; 300. a base; 400. a collection device; 500. a display; 600. a reminder device; 700. a first switch; 800. a wireless charger; 900. a second switch; 1000. a power source; 1100. a controller; 1200. an ultraviolet lamp.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the description of the embodiments of the present application, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience in describing the embodiments of the present application and simplifying the description, but do not indicate or imply that the referred devices or elements must have specific orientations, be configured in specific orientations, and operate, and thus, should not be construed as limiting the embodiments of the present application. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the embodiments of the present application, it should be noted that the terms "mounted," "connected," and "connected" are used broadly and are defined as, for example, a fixed connection, an exchangeable connection, an integrated connection, a mechanical connection, an electrical connection, a direct connection, an indirect connection through an intermediate medium, and a communication between two elements, unless otherwise explicitly stated or limited. Specific meanings of the above terms in the embodiments of the present application can be understood in specific cases by those of ordinary skill in the art.
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
The embodiment provides a fatigue state identification method, which comprises the following steps:
acquiring an image of an object;
wherein the step of obtaining an image of the object further comprises, before the step of obtaining an image of the object:
it is determined whether the object is located in a preset area,
the device for acquiring the image of the object is generally a camera, the general object is a person, and the shooting distance of the camera is limited, so that whether the object is in a preset area or not, namely the position where the camera can shoot, needs to be judged first, or whether the area is in the preset area or not is judged through the shot picture or video.
When the object is located in a preset area, acquiring an image of the object;
when the object is positioned around the camera, the object can be accurately obtained through shooting, and the image of the object can be directly obtained;
when the object is located in the preset area, the image of the object is not acquired.
And when the object is positioned in a preset area, judging whether the object is in a working state, and when the object is in the working state, acquiring an image of the object.
The recognition that the object is in the working state may be an office table set at home, and when the object is seated on the office table, it may be determined that the object is in the working state.
When the object is in a motion state, obtaining motion information of the object;
judging whether the object is close to a preset barrier or not according to the motion information of the object, and sending out prompt information when the object is close to the preset barrier;
and when the object is not close to the preset barrier, no prompt message is sent.
Preset the barrier can be table corner edge or the sharp object etc. in the family, and when children were close to these sharp objects etc., in time send out prompt message, remind information can be for sending modes such as audio frequency of "colliding carefully" through the mode of pronunciation, avoid children to collide the sharp object, lead to injury scheduling problem.
And when the object is in a non-working state and a non-motion state, the camera continues to collect the object. The object may be watching television or doing other leisure at this time.
When the object is not at the position of the camera, the camera cannot shoot the image of the object.
Carrying out face recognition on the image to acquire a face in the image;
the method specifically comprises the following steps: based on YCbCr color space, a two-dimensional Gaussian distribution mathematical model based on skin color is established,
and combining the skin color similarity and the human face shape characteristic to perform face recognition on the image to acquire the face in the image.
Identifying human eyes in the face according to the AdaBoost algorithm to obtain the eyes of the face;
counting the eye closing frequency of the facial features in a plurality of groups of images according to a PERCLOS algorithm to obtain a statistical result;
judging whether the statistical result exceeds a preset threshold value,
when the statistical result exceeds a preset threshold value, judging that the object is in a fatigue state;
and when the judgment object is in the fatigue state, broadcasting voice prompt and playing preset music. The preset music may be music selected by the subject.
And when the statistical result does not exceed a preset threshold value, judging that the object is in a non-fatigue state.
When the statistical result exceeds the blinking frequency of normal people, the fatigue state can be judged.
In order to improve the accuracy of fatigue state identification, correct information characteristic communication and comparison of a human body can be carried out in real time by utilizing a mobile network and a background database. The background database can further supplement and update the state characteristic information of the human body in the process of recognizing and collecting the human body state sample data by using the existing state image data set. The method ensures that the human body state can be accurately positioned to provide required built-in function assistance, reduces the probability of judging errors of the fatigue state of the object reminding based on information comparison and storage of the network, and adjusts the actual preset threshold value through the real-time mobile network, thereby improving the accuracy of fatigue state identification.
The fatigue state identification method can effectively identify the fatigue state and the surrounding environment, and remind a subject to regulate the fatigue state, sense the fatigue state or advance to a desk through prompt information, so that sharp foreign objects which can be touched by limbs are predicted to be reminded. The technical problems of kyphosis and eyesight problems caused by long-time head sinking and shaking and back stretching during office work or tiredness during office work in the prior art are effectively solved.
The embodiment of the invention also provides a desk lamp for fatigue identification, which comprises:
an acquisition device 400 for acquiring an image of an object;
a controller 1100 electrically connected to the acquisition apparatus 400, for executing the fatigue state identification method according to the image of the object acquired by the acquisition apparatus 400.
The acquisition device 400 is a camera, preferably a multi-view camera;
the desk lamp comprises a lamp cap 100, a desk body 200 and a base 300 which are sequentially connected, the multi-angle camera is installed on the desk body 200, the controller 1100 is installed in the base 300, the multi-angle camera is an AI camera of a neural network integrated multi-view recognition technology, and the AI camera of the neural network integrated multi-view recognition technology is used for collecting feature data; compared with the prior art, the method has the characteristics of multi-view angle, multi-azimuth observation, high identification accuracy and high identification speed. And the AI camera distance identification neither can discern the mistake nor can miss scanning discernment, can improve the predicted value precision of the fatigue state problem in front of the human table greatly.
The controller 1100 is preferably formed by combining an ARM processor, an AI chip, and an image processing module, and may also be directly a PC host or an AI processor, and may be any device or component capable of controlling the above processes.
The desk lamp can effectively solve the technical problems of kyphosis and eyesight problems caused by long-time head sinking and shaking and back stretching states when the desk lamp is tired in office or working in the prior art.
Wherein, the desk lamp still includes:
and the reminding device 600 is electrically connected with the controller 1100 and is used for sending out a reminding signal when the controller 1100 judges that the object is in the fatigue state.
Reminding device 600 is the voice broadcast device, including the speaker, the speaker electricity is connected controller 1100, controller 1100 is when sending the reminder information, is according to the speaker provides the reminder information that corresponds, and voice prompt and preset music all send through the speaker.
The synthetic process of voice broadcast does, gathers pronunciation through voice acquisition device, discerns the pronunciation of gathering through speech recognition module, generates the pronunciation that needs in controller 1100, on exporting the speaker through speech output module, by speaker output pronunciation, pronunciation can be for "prevent around sharp object article or the place ahead have the barrier" etc.. The voice synthesis is that the CPU or GPU of the controller 1100 prepares a sentence "reply" to a human, and by synthesizing an audio, the audio is played out by using a speaker, and an AI chip is provided with a fatigue detection technology to synthesize a segment of audio, and the audio is played out by using a voice broadcast module to achieve a voice prompt function.
The speaker is disposed on the platform body 200.
The desk lamp further comprises:
the burner 100 can be provided with a common incandescent and ultraviolet lamp 1200,
the first switch 700 is connected to the controller 1100, and is used to control the power on and off of the ultraviolet lamp 1200 on the lamp head 100.
In the prior art, the ultraviolet lamp 1200 may lack isolation technology, and in the case of multiple lamp tube replacements, the lamp tube forms the magnetic field of electromagnetic waves formed by different color lines and continuously hits the lamp body to form visible light by using the physical principle. Compared with ultraviolet light which is invisible light, the ultraviolet light can cause great harm to human bodies if no protective measures are taken. The material of the isolation plate is slightly deficient, the selected isolation material is ultraviolet-proof toughened film glass, but the blocking capability can only be controlled by short-wave and medium-wave ultraviolet rays, and the complete prevention and control cannot be realized.
Use mode of ultraviolet lamp 1200 in this embodiment, the first switch 700 of opening, lamp holder 100 lid can automatically regulated radian shape, adjust ultraviolet lamp 1200 to the position that needs the disinfection on to voice prompt needs the user to keep away from disinfection region space and asks the user to need the adjustment time to carry out the disinfection mode, avoids the user to receive ultraviolet lamp 1200 radiation injury as far as possible.
Wherein, the desk lamp still includes:
the power supply 1000 is electrically connected with the controller 1100 and the reminding device 600; the power supply 1000 can be a battery or directly connected with mains supply through a plug, in the embodiment, the power supply 1000 is a battery, and is arranged on the base 300, and the battery is used for taking electricity to the outside through a charging connector arranged on the base 300.
A wireless charger 800 electrically connected to the controller 1100 and the power supply 1000 for charging the mobile terminal placed thereon; in order to further improve the function of the desk lamp and reasonably utilize the space of the lamp holder;
the wireless charger 800 is located on the base 300, and a user can use a charging function only by placing a charging device on the wireless charger 800 to charge the device, so that the charging function is convenient and fast, and the mobile phone can be charged during working.
A display 500 electrically connecting the power supply 1000 and the controller 1100; in this embodiment, an environment-friendly laser scanning technique may be used to combine the AI camera and the area of the multi-view technology module based on neural network integration in the display 500, and the scanning may be completed by placing the text to be scanned by the user in a predetermined area.
And a second switch 900 electrically connected to the power supply 1000 and the controller 1100, for controlling the power-on and power-off of the controller 1100.
The second switch 900 can control the desk lamp in a start-up state and a shut-down state.
The desk lamp provided by the embodiment of the invention meets the requirements of people in all stages at present, not only can the desk lamp be prompted to touch objects in front of the desk easily to a certain extent when people are in a fatigue state in the front of the desk lamp under office or study conditions, but also the controller 1100 collects and analyzes the fatigue state through the camera and intelligently gives a prompt to avoid the office people in front of the desk. When the desk lamp is not in working condition, the desk lamp continuously scans and senses the surrounding environment, and if a child is found to be close to the edge of the desk corner, a prompt voice is given. In addition to office and learning condition requirements, the desk lamp may serve as an ultraviolet lamp 1200, a laser scanner, a wireless charger 800. Under the environment now, the function that the desk lamp was equipped with can satisfy domestic disinfection demand of disinfecting.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A fatigue state identification method is characterized by comprising the following steps:
acquiring an image of an object;
carrying out face recognition on the image to acquire a face in the image;
identifying human eyes in the face according to the AdaBoost algorithm to obtain the eyes of the face;
counting the eye closing frequency of the facial features in a plurality of groups of images according to a PERCLOS algorithm to obtain a statistical result;
judging whether the statistical result exceeds a preset threshold value,
when the statistical result exceeds a preset threshold value, judging that the object is in a fatigue state;
and when the statistical result does not exceed a preset threshold value, judging that the object is in a non-fatigue state.
2. The fatigue state identification method according to claim 1, wherein the step of performing face identification on the image and acquiring the face in the image specifically comprises:
based on YCbCr color space, a two-dimensional Gaussian distribution mathematical model based on skin color is established,
and combining the skin color similarity and the human face shape characteristic to perform face recognition on the image to acquire the face in the image.
3. The fatigue state recognition method of claim 1, wherein the step of acquiring an image of the object further comprises, before:
it is determined whether the object is located in a preset area,
when the object is located in a preset area, acquiring an image of the object;
when the object is located in the preset area, the image of the object is not acquired.
4. A fatigue state identification method according to claim 3, wherein when the object is located in a preset area, the acquiring the image of the object specifically comprises:
and when the object is positioned in a preset area, judging whether the object is in a working state, and when the object is in the working state, acquiring an image of the object.
5. The fatigue state identification method of claim 4, wherein when the object is in the working state, the step of acquiring the image of the object is followed by further comprising:
when the object is in a motion state, obtaining motion information of the object;
judging whether the object is close to a preset barrier or not according to the motion information of the object, and sending out prompt information when the object is close to the preset barrier;
and when the object is not close to the preset barrier, no prompt message is sent.
6. The fatigue state identification method according to claim 1,
and when the judgment object is in the fatigue state, broadcasting voice prompt and playing preset music.
7. A fatigue state recognition desk lamp, comprising:
an acquisition device for acquiring an image of an object;
a controller electrically connected to the acquisition device for performing the fatigue state identification method according to any one of claims 1-6 based on the image of the object acquired by the acquisition device.
8. The fatigue state identifying desk lamp of claim 7, further comprising:
and the reminding device is electrically connected with the controller and is used for sending out a reminding signal when the object is judged to be in the fatigue state in the controller.
9. The fatigue state identifying desk lamp of claim 7, further comprising:
the lamp holder is electrically connected with the controller;
and the first switch is connected with the controller and is used for controlling the power-on and power-off of the ultraviolet lamp on the lamp holder.
10. The fatigue state identifying desk lamp of claim 7, further comprising:
the power supply is electrically connected with the controller and the reminding device;
the wireless charger is electrically connected with the controller and the power supply and is used for charging the mobile terminal arranged on the wireless charger;
a display electrically connected to the power source and the controller;
and the second switch is electrically connected with the power supply and the controller and is used for controlling the power-on and power-off of the controller.
CN202110199216.5A 2021-02-22 2021-02-22 Fatigue state identification method and desk lamp Pending CN113066264A (en)

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Cited By (1)

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Publication number Priority date Publication date Assignee Title
CN114352964A (en) * 2021-12-31 2022-04-15 葛李想 Intelligent fatigue reminding lamp and reminding system thereof

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Application publication date: 20210702