CN110051191B - Intelligent office and study table mat and health reminding method thereof - Google Patents

Intelligent office and study table mat and health reminding method thereof Download PDF

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CN110051191B
CN110051191B CN201910287509.1A CN201910287509A CN110051191B CN 110051191 B CN110051191 B CN 110051191B CN 201910287509 A CN201910287509 A CN 201910287509A CN 110051191 B CN110051191 B CN 110051191B
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state information
user
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information
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CN110051191A (en
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郭永安
刘晓庆
蒋椿磊
达庆佶
陈春玲
朱洪波
杨龙祥
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Nanjing University of Posts and Telecommunications
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    • AHUMAN NECESSITIES
    • A47FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47GHOUSEHOLD OR TABLE EQUIPMENT
    • A47G11/00Table linen
    • A47G11/003Table-cloths
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • G06Q10/109Time management, e.g. calendars, reminders, meetings or time accounting
    • G06Q10/1093Calendar-based scheduling for persons or groups
    • 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
    • G08B21/18Status alarms
    • G08B21/24Reminder alarms, e.g. anti-loss alarms
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H15/00ICT specially adapted for medical reports, e.g. generation or transmission thereof
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

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Abstract

The invention provides an intelligent office and study table mat and a health reminding method thereof, wherein the table mat comprises a table mat body, a data acquisition part, a wireless communication part, a processing part and a prompting part, wherein the data acquisition part, the wireless communication part, the processing part and the prompting part are arranged in the table mat body; the prompting part carries out health reminding according to the processing result of the processing part. The table mat can intelligently count the working time of a user, monitor the health working condition information of the user, give corresponding health suggestions by combining with the physical sign monitoring equipment, and can generate a working condition report to feed back to the user if the user is reminded of rest and activity.

Description

Intelligent office and study table mat and health reminding method thereof
Technical Field
The invention belongs to the technical field of Internet of things and the field of intelligent articles, and particularly relates to an intelligent office and study table mat and a health reminding method thereof.
Background
The office table mat is an office supply with the characteristics of protection, decoration and comfort for users, and at present, the types of the office table mat can be divided into a common table mat, a sweat absorbing table mat and a hand warming table mat according to functions.
The common table mat is mainly made of PVC materials or knitted fabrics, is low in price, can customize pictures according to personal preference, has a pleasant visual effect, can prevent a user from directly contacting a table top, has an effect of serving as a mouse mat, and can reduce the possibility that the user directly contacts a cold table top in winter.
A sweat-absorbing table mat is a novel sweat-absorbing table mat which mainly avoids the problem that the arms of a human body are uncomfortable or allergic when being in direct contact with a table. When people work in summer, the discomfort of skin is increased due to frequent contact of arms and a table top, the people work for a long time to sweat, and the skin is adhered to the table top due to the flowing sweat, so that the arms are red and swollen, sweat stains are left on the table top, and the attractiveness of the table top is affected. The sweat-absorbing table mat can keep the arms dry all the time by arranging the sweat-absorbing material with the sweat-absorbing function, avoid skin adhesion to the table and generate allergy, and keep the table clean and beautiful.
The hand warming table mat is a heating table mat, generally comprises a charging device, can keep warm by charging the table mat when in use, and can effectively improve the hand freezing condition in working in winter by switching off a power supply when not in use.
The table mats have the basic characteristic requirements of users on attractive appearance, sweat absorption and heating of the table mats, but with the development of internet technology, people have more and more requirements. Although the common table mat can play a role as a mouse mat with the characteristics, the sweat absorbing table mat reduces the uncomfortable feeling of the user, the hand warming table mat reduces the coldness of working in winter, but the common table mat cannot provide better experience for the user under the mutually independent conditions, for example, the common table mat has the defect of non-water resistance, and if the hand warming table mat is heated for a long time, the potential safety hazards of scalding and the like exist. Secondly, the user can feel fatigue in a long-time working time environment, and the user can accumulate and accumulate day by month to gradually develop occupational diseases such as cervical spondylosis and lumbar spondylosis. At present, no novel table mat which comprehensively considers the functions of sweat absorption, heating and the like and analyzes and provides health work suggestions according to the work condition report of a user is provided.
Disclosure of Invention
The purpose of the invention is as follows: aiming at the defects of the prior art, the invention provides an intelligent office and study table mat and a health reminding method, which can analyze and give corresponding health reminding suggestions according to collected working condition reports of desk-bending office workers.
The technical scheme is as follows: in order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, an embodiment of the present invention provides an intelligent desk pad for office and study, including a desk pad body and a sensing device disposed in the desk pad body, where the sensing device includes a data acquisition part, a wireless communication part, a processing part, a prompt part and an energy supply part, the data acquisition part senses a use state of a user and sends acquired information to the processing part, the processing part receives information acquired by the data acquisition part, stores important data in a database, analyzes the data, identifies the use state information of the user and sends the use state information to the prompt part, or receives a processing command sent from an external terminal device via the wireless communication part, processes the data and sends the processed data to the prompt part; the prompting part carries out health reminding according to the analysis result of the processing part; the energy supply part is used for providing power for the whole table mat system.
Furthermore, the data acquisition part comprises face identification equipment, a pressure sensor, an infrared sensor and a temperature sensor, wherein the face identification equipment is used for identifying face information of a user on the table mat and judging user state information; the pressure sensor is used for sensing the pressure generated on the surface of the table mat and the pressure change condition; the infrared sensor is used for sensing whether a person is near the office table mat or not; the temperature sensor is used for sensing the temperature of the appointed area of the table mat, and the information captured by the acquisition devices is transmitted to the processing part through an internal communication line.
Further, the face recognition device may refer to a device for recognizing face information of a user of the mat and performing user status information judgment, and the face recognition device may be composed of a camera and a chip processor having an image processing function; for example, after monitoring that a user sits on a work chair, the camera can acquire information of the user through face recognition, the recognized information comprises preset user information and non-preset user information, the preset user information is personal face information input by a table mat main user and face information of the user capable of using the table mat, and the non-preset user information is strange user information. The camera can also take pictures or videos of users in use, and send the pictures or videos to a processor (namely a processing part) with image processing and video processing functions to identify the state information of the users.
The pressure sensor is embedded into a proper position of the table mat, pressure information such as pressure generated on the surface of the table mat and pressure change conditions can be sensed through the pressure sensor, and the data acquisition part sends the acquired pressure sensor information to the processing part for processing.
The infrared sensor can monitor whether someone is near the desk mat, and the specific structure of infrared sensor ware can include infrared signal temperature-sensing ware, ambient temperature measuring device mainly used measures current ambient temperature, and whether someone is near infrared signal temperature-sensing ware mainly used monitoring desk mat, if monitor nobody around, then only keep the pilot lamp of low luminance, install status light lighting system.
The temperature sensor is mainly used for monitoring the temperature of a computer in an office area of the table mat, and when the temperature of a working area of the computer is higher than a set threshold value, the processing center sends a control instruction to control the heat dissipation function module to perform cooling operation; the temperature sensor can also monitor the hand feeling temperature of the office area of the user, and when the temperature is lower than a set threshold value, the temperature sensor sends a control instruction to the processing center through the communication part to control the heating function module to perform heating operation.
The wireless communication part is mainly one or more of a Wi-Fi module, a GSM module or a Bluetooth module and is connected to external terminal equipment, and the external terminal equipment mainly comprises a smart phone, a smart watch, a smart bracelet or a tablet computer and the like. The communication part is a bridge for communication between the user and the intelligent office and study table mat, and the operation and the demand of the user can be sent to the processing part to be controlled and realized in time through the communication part.
The processing part mainly receives the information collected by the data collecting part, stores important data into the database, analyzes the data, forwards useful information to the prompting part, and displays the information returned by the processing part on the client by the prompting part or receives a processing command sent by the client. The processing part comprises two parts, wherein the first part is a digital signal processing board, comprises an analog-to-digital conversion module, a micro-processing module, a USB bus module, a data processing module and the like, and is mainly used for processing information collected by corresponding equipment of the data acquisition part and sending a related instruction to the control module component according to the information; the second part is mainly used for office work of the user, and comprises the steps of processing schedule records, analyzing according to the working time length and the working state of the user, generating a working health report and feeding the working health report back to the prompt part. The first and second parts may be independent of each other, and the first part may still be used when the second part is in a standby or off state, providing a comfortable office environment for the user while saving energy. Further, the processing section includes 4 main functional modules: the schedule recording module faces to a user, and the user can write/modify schedule reminding information in the mobile terminal and then sends the schedule reminding information to the prompting part through the processing of the processing part; the control module mainly comprises an alarm control sub-module, a power supply control sub-module and a heating/heat dissipation function sub-module, the processing part receives the information collected by the data acquisition part, and if the desktop temperature is too high, such as higher than a first threshold value or too low, such as lower than a second threshold value, acquired by the temperature sensor, the processing part controls the heating/heat dissipation function sub-module to work; the infrared sensor is used for acquiring the time information of the user, and when the user is absent for a long time, the power supply module is controlled to enter a sleep state, so that the purpose of reducing energy consumption is achieved; when abnormal information conditions occur, the face information of the user captured by the face recognition device is not matched with the face information of the user preset in the processor, and when the pressure sensor senses that the pressure of the table top is higher than a specified threshold value, the alarm control submodule is triggered to send alarm information.
The prompting part comprises an office log display module, a health opinion reminding display module and a schedule data display module, wherein the health opinion reminding display module is used for giving out the health office opinions of the users according to the user state information confirmed by the processing part, and displaying the health office opinions on a desktop through the data module or on external terminal equipment through the wireless communication module; the schedule data display module is used for reminding and displaying the schedule record sent by the processing part; and the office log display module informs the user of the health condition of recent office according to the office log information output by the processing part.
The energy supply part mainly provides power for the table mat, the power supply rectifying circuit is connected with the input end of the energy storage circuit in sequence, and the output end of the energy storage circuit provides power for the load.
In a second aspect, an embodiment of the present invention provides an intelligent health reminding method based on an intelligent office and study table mat, where the method obtains first state information of a user's face through a face recognition device; acquiring second state information of the user through the pressure sensor; acquiring third state information of the user through an infrared sensor; acquiring fourth state information of the user through the physical sign monitoring equipment; and determining the working state information of the user according to the first state information, the second state information, the third state information and the fourth state information, and then sending a health office reminding opinion to the user according to the state information.
Further, the step of performing intelligent health reminding according to the obtained four state information comprises:
s1, judging whether the first state information, the second state information, the third state information and the fourth state information are the same state information, if so, turning to the step S2, otherwise, turning to the step S3;
s2, determining the final state information of the user according to the four state information, and turning to S4;
s3, determining reliability coefficients a, c, d, b of the first state information, the second state information, the third state information, and the fourth state information, respectively, and having a + b + c + d =1, and determining final state information according to the reliability coefficients;
and S4, reminding the user to change the current working state according to the final state information.
Further, the step S3 of determining the final status information according to the confidence coefficient includes:
s31, judging whether the first state information and the fourth state information are the same, if so, determining that a reliability coefficient a = b, and turning to the step S32, otherwise, turning to the step S35;
s32, judging whether the second state information is the same as the third state information, if not, turning to the step S33; otherwise, turning to step S34 if the reliability coefficient c = d is available;
s33, setting a reliability coefficient threshold value, judging whether the sum of reliability coefficients corresponding to the same two pieces of state information is larger than the sum of reliability coefficients of the other two states, selecting the highest value of the other two state coefficients as Max, and determining the state information of the target user only when the sum of the reliability coefficients and the Max is larger than or equal to the preset reliability threshold value;
s34, determining the state of the user as the corresponding sum of the credibility coefficient value a and the credibility coefficient value c;
s35, judging whether the sum of the coefficients corresponding to the two different pieces of state information is larger than or equal to a preset threshold value, if so, turning to the step S36, otherwise, turning to the step S38;
s36, two pieces of state information with the credibility coefficients a and b are reserved, whether the second state information is consistent with the third state information or not is judged, if yes, c = d is obtained, the state information of the user is confirmed to be the state sum with the credibility coefficient value a, the credibility coefficient value b and the credibility coefficient value c; if not, go to step S37;
s37, selecting the reliability coefficient value as c, recording the largest one of d as Max, the user state as reliability value a, the reliability value as b and the reliability value as the state sum corresponding to Max;
s38, selecting the maximum one of the reliability coefficient values a and b as Max1, Max1= Max (a, b); judging whether the second state information is consistent with the third state information, if so, c = d, and the state of the user is a state sum with a reliability value of c and a reliability value of Max 1; otherwise go to step S39;
and S39, selecting the reliability coefficient value as c, recording the maximum one of d as Max2 and Max2= Max (c, d), judging Max2+ Max1> = R, and judging that the state of the user is the corresponding sum of the reliability value as Max2 and the reliability value as Max 1.
Further, the physical sign monitoring equipment is arranged in the intelligent wearable device.
Has the advantages that: the intelligent office and study table mat is effectively combined with the intelligent bracelet and the intelligent mobile phone, so that the working time of a user can be intelligently counted, the health working condition information of the user can be monitored, corresponding health working suggestions such as reminding the user of rest and activity can be given, and a working condition report can be generated and fed back to the user. The table mat has various intelligent characteristics, and provides all-round reminding and protection for the health work of a user.
Drawings
FIG. 1 is a schematic view of an intelligent office and study table mat device;
FIG. 2 is a schematic diagram of a functional module of the intelligent office and study desk mat processing part;
FIG. 3 is a schematic diagram of a functional module of a prompt part of the intelligent office and study table mat;
fig. 4 is a flowchart of an intelligent office health reminding method according to an embodiment of the present invention;
fig. 5 is a flowchart of a step of determining status information of a target user according to the first status information, the second status information, the third status information, and the fourth status information according to an embodiment of the present invention;
fig. 6 is a detailed flowchart of determination for determining the status information of the target user according to the first status information, the second status information, the third status information, and the fourth status information reliability coefficient provided in the embodiment of the present invention;
fig. 7 is a flowchart of an intelligent healthy office reminding method according to an embodiment of the present invention.
Detailed Description
The technical scheme of the invention is further explained by combining the attached drawings. It should be understood that the following embodiments are provided only for the purpose of thoroughly and completely disclosing the present invention and fully conveying the technical concept of the present invention to those skilled in the art, and the present invention may be embodied in many different forms and is not limited to the embodiments described herein. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention.
In order to meet more requirements of users and provide good use experience for the users, the invention provides an intelligent office and study table mat. In one embodiment, the intelligent office and study table mat is schematically shown in fig. 1, and mainly comprises an energy supply part, a data acquisition part, a processing part, a wireless communication part and a prompting part, and can be connected with a mobile terminal through the wireless communication part to communicate with each other. The data acquisition part is mainly used for acquiring facial state information of a user through a face recognition device, acquiring desktop pressure information through a pressure sensor, acquiring information whether the user is beside a table mat or not through an infrared sensor, and acquiring the temperature of a working area of a computer of the table mat and the hand feeling temperature of an office area of the user through a temperature sensor; the collected information can be timely sent to the processing part for processing.
As shown in fig. 2, the processing part includes a control module, a timing module, a log analysis module and a schedule recording module; the processing part processes the information collected by the collecting part, and when the temperature sensor monitors that the temperature data of the working area of the computer is higher than a set threshold value, the control module controls the heat dissipation module to work; when the data monitored by the pressure sensor is higher than the highest pressure threshold value, the control module controls the alarm module to work; when a user is in a working state, a working time period is collected through the infrared sensor, the control part controls the timing module to work, when the infrared sensor monitors that data shows that the user does not work for a long time, the control module controls the power supply module to be switched to a sleep state, in addition, the processing module also receives information data from the user terminal and processes the information data, namely, the user can record a schedule at the mobile terminal, the record is transmitted to the processing part through the wireless communication part, the processing part receives and controls the schedule recording module to work, the processing part also performs log analysis operation, and the log analysis module mainly analyzes according to the working time length and the working state of the user, generates a working health report and feeds the working health report back to the prompting part.
As shown in fig. 3, the prompting unit mainly includes a schedule data display module, a health suggestion reminding display module, and an office log display module. Wherein, the schedule data display module is used for displaying the schedule record information transmitted by the display processing part on the display; the health suggestion reminding display module gives health suggestions according to the working state and duration of the processing and analyzing user of the processing part, and the office log display module is used for displaying log analysis data. As one example, a user may view a recent work statement-of-health on a display or on a mobile device associated with a table mat.
In order to prevent the user from sitting for a long time and suffering from soreness of the waist and back, and concern the physical and mental health of the office user, in another embodiment of the present invention, there is also provided a smart band comprising: sign monitoring equipment, bracelet body, memory, processor and store on the memory and can be in the computer program of operation on the processor. Sign monitoring facilities installs on the bracelet body. As an example, the smart band may be associated with the smart office and study table mat through bluetooth to jointly determine the status information of the user; as an example, the smart band may be further associated with a smart phone of the user through bluetooth, and when it is determined that the user is in a tired state, the user is reminded to take a rest at a desk, when it is determined that the user is in a state of distraction, the user is reminded to concentrate on attention, and when it is determined that the user is in a state of impairment, a funny video or brief may be pushed for the user through the smart phone, or as an example, the siri is awakened to play a piece of music that relieves mood.
In order to further understand the embodiment, the intelligent reminding method provided by the embodiment of the present invention is described in detail, and as shown in fig. 4, the method includes the following steps:
step 1, first state information of a user is obtained through face recognition equipment. The face recognition device in the real-time case of the present invention may refer to a device for recognizing the face information of the user and performing the judgment of the face state information of the target user, where the face recognition device may be composed of a camera and a chip processor having an image processing function; as an example, after taking a video/photo of the target user, the camera may send the photo or video to a processor having image and video processing functions for identification of user status information; the target user refers to a preset worker who works with the table mat. In the embodiment of the invention, when the user sits on the table mat, the user information is acquired through face recognition, if the recognized user is a predefined user, the user is determined to be a legal user, if the recognized user is not listed in the predefined user, an authentication prompt can be sent, and a prompt can also be sent to the predefined user, as an example, the prompt can be realized through a short message of a mobile phone.
In this embodiment of the present invention, the first state information may refer to state information after the facial recognition device determines by acquiring facial expressions of the target user, and the first state information may include: fullness, lassitude, empty stomach, qi generation, fatigue, bitter and astringent. The step of judging the state information of the user through facial recognition comprises the steps of acquiring a facial expression image of the user through a camera, extracting a characteristic image in the facial expression image through a processor with image processing, judging whether the characteristic image meets a preset characteristic information image, and judging the first state information of the user through the judgment of the characteristic image.
And 2, acquiring second state information of the user through the pressure sensor, wherein the second state information indicates the pressure information of the desktop and can reflect whether the user bends over a desk or lies prone on the desktop. Here, the pressure sensor may refer to a sensor disposed in a working area of the user, and is mainly used to monitor whether the user has a desk rest after working for a long time. As an example, the process of determining the second state information of the target user by the pressure sensor device may include determining that the user is in a fatigue state if it is monitored that the user does not lie prone for rest within a preset time (e.g., noon break) by monitoring the working time information of the target user; the pressure data when the target user lies prone for rest can be used as the judgment standard in advance.
And 3, acquiring third state information of the user through the infrared sensor. Here, the infrared sensor is used to monitor whether or not a person is around the desk mat, and the third user status information includes fatigue, mental state, and the like, and as an example, when the infrared sensor monitors that a person is sitting around the desk mat for a long period of time (the definition of the time period may be preset), if the long period of time has satisfied the preset time period, the collected fatigue information is transmitted to the processing portion.
And 4, acquiring fourth state information of the user through the physical sign monitoring equipment. In the embodiment of the present invention, the sign monitoring device may refer to a sign sensor for monitoring the sign information of a target user to perform the user status, where the sign information of the target user may be blood pressure information, heart rate information, electrocardiogram information and exercise step number information, and may also perform electrolyte balance and dehydration information measurement, as an example, a Biosensor (Biosensor) developed by electroszyme can rapidly analyze chemical components in sweat, and provides real-time feedback information about hydration, body fluid loss and electrolyte balance, and after a user wears a smart bracelet integrating the Biosensor, the user can tell how much water needs to be supplemented and suggest drinking or drinking sports drinks after monitoring the user is exercising.
In the embodiment of the invention, after the target user is monitored for long-term sign information, the sign information model of the target user can be established in advance, and after the sign monitoring equipment monitors the sign information of the target user, the preset sign information model of the target user can be compared to judge the state information of the user.
Step 5, determining the state information of the user according to the first state information, the second state information, the third state information and the fourth state information, wherein the determination process is as shown in fig. 5:
step S51, collecting first state information, second state information, third state information and fourth state information;
step S52, judging whether the first state information, the second state information, the third state information and the fourth state information are the same state information, if yes, turning to step S53, otherwise, turning to step S54;
in step S53, the four pieces of status information are integrated to determine the final status information of the user. As an example, if a first status message monitors a user for a long time (for fatigue), a second status message indicates that the user is not at rest in the lunch break (for fatigue), a third status message indicates that the user is sitting for a long time in front of a table mat (for fatigue), and a fourth status message monitors that the user is not active for a long time (for fatigue), the status message of the user is determined to be fatigue;
step S54, determining the reliability coefficients of the first state information, the second state information, the third state information and the fourth state information, which are respectively marked as a, c, d and b; when the first state information and the fourth state information in the exemplary first state information, second state information, third state information and fourth state information are the same and the third state information and the second state information are different, if the face recognition device monitors that the first state information of the user is a qi state, the second state information monitored by the pressure sensor is fatigue state information, the third state information monitored by the infrared sensor is mental state information of the user, and the fourth state information detected by the sign sensor is that the user is a qi state, the confidence coefficient of the user needs to be determined. In the embodiment of the present invention, the sum of the reliability coefficients of the first state information, the second state information, the third state information and the fourth state information is equal to 1, that is, a + b + c + d = 1;
step S55, determining the status information according to the reliability coefficient. The judgment flowchart is shown in fig. 6, and specifically includes the following steps:
1. judging whether the first state information and the fourth state information are the same, if so, determining that a reliability coefficient a = b, and turning to the step 2, otherwise, turning to the step 5;
2. then, continuously judging whether the second state information is the same as the third state information, and if not, turning to the step 3; otherwise, turning to the step 4 if the reliability coefficient c = d exists;
3. judging whether the sum of the coefficients corresponding to the same two states is larger than the reliability coefficients of the other two states under a general condition; as shown in the above example, the first state information and the fourth state information are both an angry state, and if the coefficient of the reliability of the first state information judged by the face recognition device is 0.3, the coefficient of the reliability of the fourth state information judged by the physical sign device is 0.3, the coefficient of the reliability of the second state information is 0.1, the coefficient of the reliability of the third state information is 0.3, and the sum of the reliabilities of the first state information and the fourth state information is greater than the coefficients of the reliabilities of the third state information and the second state information, which are 0.6>0.4, it can be determined that the final state of the user is angry and full;
however, if it is assumed that the coefficient of the reliability of the first state information is 0.2, the reliability coefficient of the fourth state information of the physical sign device for distinguishing the user is 0.2, the reliability coefficient of the second state information is 0.2, the reliability coefficient of the third state information is 0.4, at this time, a + b =0.4< c + d =0.6, and the state information of the user may become a fatigue state or a mental state, therefore, in order to further prevent misjudgment of the state information of the target user, a threshold value of the reliability coefficient may be preset, then two other Max values with the highest state coefficients may be selected and recorded, and only when the sum of the two same reliability coefficient values and Max is greater than or equal to the preset reliability threshold value, the state information of the target user may be determined.
Assuming that the reliability coefficient threshold is set to 0.6, as described in the above example, when it is judged that the reliability of the first state and the fourth state information is 0.3 and 0.3, the sum of both is greater than the sum of the reliability of the second state and the third state by 0.6>0.4, and 0.6 is equal to or greater than the preset threshold, it is determined that the state information of the target user is angry. For the second example, when the reliability coefficients of the first state information and the fourth state information are 0.2 and 0.2, the reliability coefficient of the second state information is 0.2, and the reliability coefficient of the third state information is 0.4, at this time, a + b =0.4< c + d =0.6, in order to prevent misjudgment, a next step of judgment is required, that is, a maximum one of the reliability coefficients c and d, Max = Max (d, c), is selected, whether a + b + Max > = R is true is judged, and if true, the user state is a state sum of the reliability value a and the reliability value Max corresponding to the reliability value a; max =0.4, a + b + Max =0.8> = R the status of the user is angry and full;
4. the user's state may be determined to be the corresponding sum of states with confidence coefficient value a and confidence coefficient value c. As an example, assuming that the first state information and the fourth state decided by the face recognition device are qi states, the coefficient of reliability of the first state is 0.3, the coefficient of reliability of the fourth state information is 0.3, the second state information and the third state information are fatigue states, the coefficient of reliability of the second state information is 0.2, and the coefficient of reliability of the third state information is 0.2, it may be decided that the state of the user is angry and fatigued.
5. Judging whether the sum of the coefficients corresponding to the two different pieces of state information is greater than or equal to a preset threshold value, namely whether a + b > = R is true, if true, turning to step 6, otherwise, turning to step 8;
6. keeping two state information with reliability coefficients of a and b, judging whether the second state information is consistent with the third state information, if so, c = d, and then confirming that the state information of the user is the state sum with the reliability coefficient value of a, the reliability coefficient value of b and the reliability coefficient value of c; as an example: assuming that the first state information determined by the face recognition device is angry, assuming that the pressure sensor determines that the user information is tired, assuming that the third state information is tired, assuming that the fourth state information is water shortage information, and the reliability coefficient values are (a =0.2, b =0.4, c =0.2, d = 0.2), respectively, it may be determined according to step 6 that the final state information of the user is angry and in a tired state and water shortage state. If not, turning to step 7;
7. and in order to prevent misjudgment, the next judgment is needed, namely the maximum one of the credibility coefficient values c and d is selected, then the state of the user is the state sum of the credibility value a, the credibility value b and the credibility value Max. As an example, assuming that the first state information determined by the face recognition device is angry, assuming that the pressure sensor determines that the user information is tired, assuming that the third state information is a mental full state, the fourth state information is water shortage information, and the reliability coefficient values are (a =0.2, b =0.4, c =0.1, d = 0.3), respectively, then Max = Max (c, d) =0.3 according to step 7, it may be determined that the final state information of the user is: the user is in a full state and the mood is angry, and the state of supplementing water is needed.
8. Selecting the maximum one of the reliability coefficient values a and b as Max1, Max1= Max (a, b); judging whether the second state information is consistent with the third state information, if so, c = d, and the state of the user is a state sum with a reliability value of c and a reliability value of Max 1; as an example, assuming that the first state information determined by the facial recognition device is vagus nerve, assuming that the pressure sensor determines that the user information is tired, assuming that the third state information is tired, assuming that the fourth state information is vital information, and the confidence coefficient values are (a =0.1, b =0.3, c =0.3, d = 0.3), a + b =0.4< R =0.6, respectively, then Max1= Max (a, b) =0.3 according to step 8, it may be determined that the final state information of the user is: the user is in a tired state and the mood is angry. Otherwise, turning to the step 9;
9. and selecting the maximum one of the credibility coefficient values as c and d as Max2 and Max2= Max (c, d), judging Max2+ Max1> = R, wherein the state of the user is the corresponding state sum of the credibility value as Max2 and the credibility value as Max 1. As an example, assuming that the first state information decided by the face recognition device is vague, assuming that the pressure sensor decides that the user information is tired, assuming that the third state information is a mental full state, the fourth state information is pneumatic information, and the reliability coefficient values are (a =0.1, b =0.3, c =0.2, d = 0.4), respectively, then Max1= Max (a, b) =0.3, Max2= Max (c, d) =0.4 according to step 9, it may decide that the final state information of the user is: the user is in a state of mental fullness and the mood is in a state of pneumatosis.
And step S56, reminding the user to change the current working state according to the state information. In particular, with reference to FIG. 7,
the method comprises the following steps:
step S561, when it is determined that the target user state is angry, generating a first control instruction to control the associated mobile device to play the mood-relieving music. As an example, when it is determined that the user is angry, the smart phone system may be connected to the smart phone through the smart bracelet, and the mobile phone of the user is controlled to play a preset first music for relaxing mood, so as to remind the user of relaxing the mood, or push a joke through the mobile phone.
Step S562, when the target user is determined to be in a fatigue state, generating a second control instruction, controlling the display module to display a 'reminding rest', or controlling the associated bracelet to send out a first vibration prompt to remind the user to pay attention to rest; as an example, after determining that the user is tired, the user is reminded to stand for a rest or leave to walk by sending out a fixed vibration number through the bracelet, and a specific reminding manner is not limited.
And step S563, when the target user state information is determined to be in the water shortage state, generating a third control instruction, controlling the associated bracelet to send out a second vibration prompt, and reminding the user of supplementing water in time. As an example, when it is determined that the user is in a water shortage state, the user is reminded to replenish water, and if the user is in strenuous exercise, the user can judge whether to replenish water or drink sports drinks according to the data monitored by the biosensor, so as to provide better health advice for the user, and the specific reminding mode is not limited.
The table mat has various intelligent characteristics, and provides comprehensive reminding and protection for the healthy work of users:
the method has the following safety functions: identifying the user category (preset user/non-preset user) through the face identification device, and then acquiring user state information through the face identification device;
secondly, the temperature sensing control function is provided: monitoring the temperature of a user office area and a computer area through a temperature sensor; when the temperature is higher than a preset threshold value, controlling the heat dissipation module to work; when the temperature is too low, controlling the heating module to work;
the third step is that the timing function is provided: the office duration of the user can be monitored through the infrared sensor, and the rest (such as noon break on desk) duration of the user can be monitored through the pressure sensor;
fourthly, the health reminding function is achieved: providing reasonable health work suggestions for the user according to a health reminding method through user state information acquired by face recognition equipment, a pressure sensor and an infrared sensor and by combining user intelligent bracelet data;
possess schedule record function: the user can edit/modify the schedule information at the mobile terminal, the wireless communication part is connected with the table mat, and the processing part processes the schedule information;
sixthly, the alarm function is realized: when the pressure sensor monitors the abnormal pressure on the surface of the table mat, sending alarm information; when the monitored user is non-preset user information, sending alarm prompt information to the user;
the device has the following data display functions: schedule data reminding display, health suggestion reminding display, office log report display and the like;
the eighty percent (eight) has an energy-saving function: when the face recognition device and the infrared sensing device cannot monitor the user for a long time, the power supply module is switched to a sleep state, and energy consumption is reduced.
In the embodiments of the present application, it should be understood that the disclosed system, apparatus, method and intelligent device may be implemented in other ways. The above-described embodiments are merely illustrative, and for example, the modules may be divided into different ways when actually implemented, and for example, the shown or discussed coupling or communication connection may be indirectly coupled or communicated through some communication interfaces, devices or units, and may be in an electrical, mechanical or other form.

Claims (2)

1. A health reminding method based on an intelligent office and study table mat is characterized in that a face recognition device is used for acquiring first state information of a face of a user; acquiring second state information of the user through the pressure sensor; acquiring third state information of the user through an infrared sensor; acquiring fourth state information of the user through the physical sign monitoring equipment; determining the working state information of the user according to the first state information, the second state information, the third state information and the fourth state information, and then sending a health office reminding suggestion to the user according to the state information;
wherein carry out the step that wisdom health was reminded according to four state information that acquire includes:
s1, judging whether the first state information, the second state information, the third state information and the fourth state information are the same state information, if so, turning to the step S2, otherwise, turning to the step S3;
s2, determining the final state information of the user according to the four state information, and turning to S4;
s3, determining reliability coefficients a, c, d, b of the first state information, the second state information, the third state information, and the fourth state information, respectively, and having a + b + c + d =1, and determining final state information according to the reliability coefficients;
s4, reminding the user to change the current working state according to the final state information;
wherein the step S3 of determining the final status information according to the confidence coefficient includes:
s31, judging whether the first state information and the fourth state information are the same, if so, determining that a reliability coefficient a = b, and turning to the step S32, otherwise, turning to the step S35;
s32, judging whether the second state information is the same as the third state information, if not, turning to the step S33; otherwise, turning to step S34 if the reliability coefficient c = d is available;
s33, setting a reliability coefficient threshold value R, judging whether the sum of reliability coefficients corresponding to the same two pieces of state information is larger than the sum of reliability coefficients of the other two states, selecting the highest value of the other two reliability coefficients as Max, and determining the state information of the target user only when the sum of the two same reliability coefficients and the Max is larger than or equal to a preset threshold value;
s34, determining the state of the user as the corresponding sum of the reliability coefficient a and the reliability coefficient c;
s35, judging whether the sum of the reliability coefficients corresponding to the two different state information is greater than or equal to a preset threshold value, if so, turning to the step S36, otherwise, turning to the step S38;
s36, two pieces of state information with the reliability coefficients a and b are reserved, whether the second state information is consistent with the third state information or not is judged, if yes, c = d is obtained, and the state information of the user is confirmed to be the sum of the reliability coefficients a, b and c; if not, go to step S37;
s37, selecting the largest one of the reliability coefficients c and d as Max, wherein the state of the user is the state sum corresponding to the reliability coefficient a, the reliability coefficient b and the reliability coefficient Max;
s38, selecting the maximum one of the reliability coefficients a and b as Max1, and Max1= Max (a, b); judging whether the second state information is consistent with the third state information, if so, c = d, and the state of the user is the state sum corresponding to the reliability coefficient c and the reliability coefficient Max 1; otherwise go to step S39;
s39, the largest one of the reliability coefficients c and d is selected and recorded as Max2, Max2= Max (c, d), Max2+ Max1> = R is judged, and the state of the user is the corresponding state sum of the reliability coefficient Max1 and the reliability coefficient Max 2.
2. The health alert method of claim 1, wherein the vital signs monitoring device is disposed in a smart bracelet.
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