CN114010170A - Intelligent monitoring reminding method and device based on identification display - Google Patents
Intelligent monitoring reminding method and device based on identification display Download PDFInfo
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- CN114010170A CN114010170A CN202111594110.1A CN202111594110A CN114010170A CN 114010170 A CN114010170 A CN 114010170A CN 202111594110 A CN202111594110 A CN 202111594110A CN 114010170 A CN114010170 A CN 114010170A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/6803—Head-worn items, e.g. helmets, masks, headphones or goggles
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/681—Wristwatch-type devices
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/12—Healthy persons not otherwise provided for, e.g. subjects of a marketing survey
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14542—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
Abstract
The application discloses an intelligent monitoring reminding method and device based on identification display, and the method comprises the following steps: obtaining the sound frequency and the accumulated sound production duration of a user in a preset time period through an intelligent sound amplification device; carrying out feature fusion on the sounding frequency and the accumulated occurrence duration to obtain a sounding strength value; obtaining a health value of the user according to intelligent wearing; inputting the sounding strength value and the health value into a fatigue degree evaluation model to obtain output information of the fatigue degree evaluation model, wherein the output information comprises first fatigue degree information of a user; and acquiring first reminding information according to the first fatigue degree information, and reminding a user of fatigue degree adjustment. The technical problem that in the prior art, a teacher feels tired due to professional particularity, and cannot adjust in time to cause sub-health is solved. Through intelligent real-time assessment teacher user's physical fatigue degree, and then in time remind the user to carry out the health adjustment to ensure the healthy technological effect of user.
Description
Technical Field
The application relates to the field of computer application, in particular to an intelligent monitoring reminding method and device based on identification display.
Background
The teacher occupation integrates mental labor and physical labor, and the physical health of the arduous gardeners is troubled by diseases due to the particularity of the occupation in heavy and arduous teaching. According to related survey data, the seven-ingredient teacher in sub-health state and high-intensity work causes not little stress on the physiology and psychology of the teacher, so that the teacher suffers from occupational diseases. The teacher works with three characteristics: speaking time is more, standing time is more, and bending over a table time is more, and what follows with it is all kinds of teacher's occupational diseases. In the actual life work, teachers often cannot find out physical abnormality in time, so that the bodies are over-tired, various chronic diseases occur, and the physical health degree and the life quality are seriously affected. The method is used for researching how to monitor various body index parameters of a teacher user in real time by means of a computer technology so as to evaluate the real-time change condition of the body of the teacher, and once the evaluation result is abnormal, the teacher is reminded to have a rest and adjust in time, so that the method has important significance for avoiding various professional diseases of the teacher and ensuring the body health of the teacher.
In the process of implementing the technical solution in the embodiment of the present application, the inventor of the present application finds that the above-mentioned technology has at least the following technical problems:
the technical problem that a teacher is tired due to professional particularity of the teacher and cannot adjust in time to cause sub-health exists in the prior art.
Disclosure of Invention
The application aims to provide an intelligent monitoring reminding method and device based on identification display, and the method and device are used for solving the technical problem that in the prior art, teachers are tired due to occupational speciality of the teachers, and further sub-health is caused due to failure of timely adjustment.
In view of the foregoing problems, the embodiments of the present application provide an intelligent monitoring and reminding method and apparatus based on identification display.
In a first aspect, the present application provides an intelligent monitoring and reminding method based on identification display, where the method is implemented by an intelligent monitoring and reminding device based on identification display, where the method includes: obtaining the sound frequency and the accumulated sound production duration of a user in a preset time period through the intelligent sound amplification device; carrying out feature fusion on the sounding frequency and the accumulated occurrence duration to obtain a sounding intensity value; obtaining a health value of the user according to the smart wearing; inputting the sounding strength value and the health value into a fatigue degree evaluation model to obtain output information of the fatigue degree evaluation model, wherein the output information comprises first fatigue degree information of the user; and acquiring first reminding information according to the first fatigue degree information, and reminding the user to adjust the fatigue degree through the first reminding information.
On the other hand, the present application further provides an intelligent monitoring and reminding device based on identification display, which is used for executing the intelligent monitoring and reminding method based on identification display according to the first aspect, wherein the device includes: a first obtaining unit: the first obtaining unit is used for obtaining the sound production frequency and the accumulated sound production duration of the user in a preset time period through the intelligent sound amplification device; a second obtaining unit: the second obtaining unit is used for carrying out feature fusion on the sounding frequency and the accumulated occurrence time length to obtain a sounding intensity value; a third obtaining unit: the third obtaining unit is used for obtaining the health value of the user according to intelligent wearing; a fourth obtaining unit: the fourth obtaining unit is configured to input the vocalization strength value and the health value into a fatigue degree evaluation model, and obtain output information of the fatigue degree evaluation model, where the output information includes first fatigue degree information of the user; a first execution unit: the first execution unit is used for obtaining first reminding information according to the first fatigue degree information and reminding the user of fatigue degree adjustment through the first reminding information.
In a third aspect, an embodiment of the present application further provides an intelligent monitoring and reminding device based on identification display, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of the method according to the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
1. obtaining the sound frequency and the accumulated sound production duration of a user in a preset time period through the intelligent sound amplification device; carrying out feature fusion on the sounding frequency and the accumulated occurrence duration to obtain a sounding intensity value; obtaining a health value of the user according to the smart wearing; inputting the sounding strength value and the health value into a fatigue degree evaluation model to obtain output information of the fatigue degree evaluation model, wherein the output information comprises first fatigue degree information of the user; and acquiring first reminding information according to the first fatigue degree information, and reminding the user to adjust the fatigue degree through the first reminding information. Reach based on intelligent public address set real-time supervision teacher user's vocal frequency size and vocal time length, and then the analysis obtains teacher user's vocal intensity value, combines the healthy value that teacher user was intelligent dressed and is monitored on one's body, and the tired degree of intelligent evaluation teacher user's present health to send corresponding adjustment and remind. Through intelligent real-time assessment teacher user's health fatigue degree, and then in time remind the corresponding teacher user to carry out the health adjustment to ensure that teacher user is healthy, reached the technological effect that improves teacher user health intelligent regulation degree.
2. Through public address decibel estimation model is based on current actual lecture sound intensity of teacher, actual conditions such as the classroom area of locating, and the intellectuality obtains first public address decibel, thereby does intelligent public address set public address provides the data reference, avoids the public address excessively to cause the student uncomfortable, avoids influencing the normal teaching in next door classroom simultaneously, has reached and has formulated public address scheme based on actual conditions individuality, guarantees the public address effect, and then ensures the technical effect of teacher's quality of giving lessons.
3. Real-time body temperature, heart rate and oxyhemoglobin saturation index weights are obtained through calculation by an entropy method, and then a user health value is obtained through calculation, so that the technical effects of judging the body health degree of a user based on actual body data of the user and ensuring objective and effective evaluation results are achieved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
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 described below, it is obvious that the drawings in the following description are only exemplary, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic flowchart of an intelligent monitoring and reminding method based on identification display according to an embodiment of the present application;
fig. 2 is a schematic flow chart illustrating a process of controlling the intelligent sound amplifying device to amplify sound according to the first sound amplifying decibel according to the first control instruction in the intelligent monitoring reminding method based on the identification display according to the embodiment of the present application;
fig. 3 is a schematic flow chart illustrating sound amplification according to the first sound amplification decibel in the intelligent monitoring reminding method based on identification display according to the embodiment of the present application;
fig. 4 is a schematic flow chart illustrating the process of obtaining the health value in an intelligent monitoring and reminding method based on identification display according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an intelligent monitoring and reminding device based on identification display according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals:
a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a first executing unit 15, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 305.
Detailed Description
The embodiment of the application provides an intelligent monitoring reminding method and device based on identification display, and solves the technical problem that in the prior art, teachers are tired due to professional specialties of the teachers, and further sub-health is caused due to the fact that the teachers cannot adjust the teachers in time. Reach based on intelligent public address set real-time supervision teacher user's vocal frequency size and vocal time length, and then the analysis obtains teacher user's vocal intensity value, combines the healthy value that teacher user was intelligent dressed and is monitored on one's body, and the tired degree of intelligent evaluation teacher user's present health to send corresponding adjustment and remind. Through intelligent real-time assessment teacher user's health fatigue degree, and then in time remind the corresponding teacher user to carry out the health adjustment to ensure that teacher user is healthy, reached the technological effect that improves teacher user health intelligent regulation degree.
In the following, the technical solutions in the embodiments of the present application will be clearly and completely described with reference to the accompanying drawings, and it is to be understood that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application. It should be further noted that, for the convenience of description, only some but not all of the elements relevant to the present application are shown in the drawings.
Summary of the application
The teacher occupation integrates mental labor and physical labor, and the physical health of the arduous gardeners is troubled by diseases due to the particularity of the occupation in heavy and arduous teaching. According to related survey data, the seven-ingredient teacher in sub-health state and high-intensity work causes not little stress on the physiology and psychology of the teacher, so that the teacher suffers from occupational diseases. The teacher works with three characteristics: speaking time is more, standing time is more, and bending over a table time is more, and what follows with it is all kinds of teacher's occupational diseases. In the actual life work, teachers often cannot find out physical abnormality in time, so that the bodies are over-tired, various chronic diseases occur, and the physical health degree and the life quality are seriously affected. The method is used for researching how to monitor various body index parameters of a teacher user in real time by means of a computer technology so as to evaluate the real-time change condition of the body of the teacher, and once the evaluation result is abnormal, the teacher is reminded to have a rest and adjust in time, so that the method has important significance for avoiding various professional diseases of the teacher and ensuring the body health of the teacher.
The technical problem that a teacher is tired due to professional particularity of the teacher and cannot adjust in time to cause sub-health exists in the prior art.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the application provides an intelligent monitoring and reminding method based on identification display, which is applied to an intelligent monitoring and reminding device based on identification display, wherein the method comprises the following steps: obtaining the sound frequency and the accumulated sound production duration of a user in a preset time period through the intelligent sound amplification device; carrying out feature fusion on the sounding frequency and the accumulated occurrence duration to obtain a sounding intensity value; obtaining a health value of the user according to the smart wearing; inputting the sounding strength value and the health value into a fatigue degree evaluation model to obtain output information of the fatigue degree evaluation model, wherein the output information comprises first fatigue degree information of the user; and acquiring first reminding information according to the first fatigue degree information, and reminding the user to adjust the fatigue degree through the first reminding information.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
Referring to fig. 1, an embodiment of the present application provides an intelligent monitoring and reminding method based on identification display, where the method is applied to an intelligent sound amplification device, the intelligent sound amplification device is in communication connection with an intelligent wearable device, and the method specifically includes the following steps:
step S100: obtaining the sound frequency and the accumulated sound production duration of a user in a preset time period through the intelligent sound amplification device;
specifically, the intelligent monitoring reminding method based on the identification display is applied to the intelligent sound amplifying device, the method is applied to the intelligent sound amplifying device based on the identification display, the sound frequency and the sound time of the teacher user can be monitored in real time based on the intelligent sound amplifying device, the sound intensity value of the teacher user is obtained through analysis, the health value monitored by intelligent wearing of the teacher user is combined, the fatigue degree of the current body of the teacher user is intelligently evaluated, and therefore corresponding adjustment reminding is sent. The user refers to any teacher user who carries out fatigue adjustment reminding through the intelligent monitoring reminding device based on identification display; the intelligent sound amplifying device is used for amplifying the sound emitted by the teacher user according to a certain proportion, so that the sound propagation range of the teacher user is enlarged, and students in remote positions can be ensured to clearly listen to the content of the lectures of the teacher.
And monitoring and recording the sound frequency and the accumulated sound production duration of the user in a preset time period through the intelligent sound amplification device. The preset time period refers to a time period of the sounding condition of the user to be monitored, which is preset by the intelligent monitoring and reminding device based on the identification display and integrates the teaching time of the teacher and other information. The sound frequency is the number of times a sound object (sound source) vibrates per second, and is in hertz (Hz). For example, after a tuning fork with a frequency of 512 hz rings, the number of vibrations per second is 512. In addition, the sound frequency is not affected by the change in sound intensity. Through intelligence public address set has reached the intellectuality and has carried out real-time supervision's to teacher user's vocal condition technical effect.
Step S200: carrying out feature fusion on the sounding frequency and the accumulated occurrence duration to obtain a sounding intensity value;
specifically, the teacher user sounding frequency and the accumulated sounding duration intelligently monitored by the intelligent sound amplifying device are subjected to characteristic analysis respectively, and then the sounding frequency and the accumulated sounding duration are subjected to characteristic fusion, so that intensity data corresponding to the sounding of the teacher user, namely the sounding intensity value, are obtained. The feature fusion is to extract different feature vectors from the same mode to perform optimal combination, and the feature fusion has serial and parallel modes. Redundancy is removed from the sound frequency and the accumulated occurrence time, and the sound intensity value obtained after integration provides data basis for subsequently evaluating the fatigue degree of the teacher user, so that the technical effect of simplifying subsequent evaluation processing is achieved.
Step S300: obtaining a health value of the user according to the smart wearing;
particularly, intelligence is dressed and is done the intelligent electronic equipment that the user wore on one's body, including relevant electronic equipment such as intelligent bracelet, smart glasses for each index parameter of real-time supervision user's health. For example, the smart bracelet can monitor the heart rate change of a teacher user in real time, and display and record the heart rate change in real time by connecting terminal equipment such as a mobile phone; the intelligent glasses can monitor the conditions of black eyes, red blood silk and the like of the teacher user in real time. Through real-time supervision is dressed to intelligence, realized the target to teacher user each item health index data real-time supervision to intelligent monitoring user health degree's technological effect has been reached.
Step S400: inputting the sounding strength value and the health value into a fatigue degree evaluation model to obtain output information of the fatigue degree evaluation model, wherein the output information comprises first fatigue degree information of the user;
specifically, the first fatigue information corresponding to the teacher user can be intelligently obtained by inputting the sounding strength value after feature fusion and the user health value monitored by intelligent wearing into the fatigue evaluation model. The fatigue degree evaluation model is a neural network model and has the characteristics of the neural network model. The neural network model is a neural network model in machine learning, reflects many basic characteristics of human brain functions, is a deep feedforward neural network with the characteristics of local connection, weight sharing and the like, and is a highly complex nonlinear dynamic learning system. The fatigue degree evaluation model established based on the neural network model can output accurate first fatigue degree information, so that the method has strong analysis and calculation capacity and achieves the accurate and efficient technical effect. By carrying out data training on the fatigue degree evaluation model, the fatigue degree evaluation model can process input data more accurately, and further the output first fatigue degree information is more accurate, so that the technical effects of accurately obtaining data information and improving the intellectualization of evaluation results are achieved.
Step S500: and acquiring first reminding information according to the first fatigue degree information, and reminding the user to adjust the fatigue degree through the first reminding information.
Specifically, first reminding information is automatically obtained through the first fatigue information obtained after the fatigue evaluation model is intelligently evaluated, and the user is reminded of fatigue adjustment through the first reminding information. Based on intelligent public address set real-time supervision teacher user's vocal frequency size and vocal time length, and then the analysis obtains teacher user's vocal intensity value, combines the healthy value of monitoring of intelligent wearing on one's body of teacher user, and the tired degree of intelligent evaluation teacher user's current health to send the adjustment that corresponds and remind. Through intelligent real-time assessment teacher user's health fatigue degree, and then in time remind the corresponding teacher user to carry out the health adjustment to ensure that teacher user is healthy, reached the technological effect that improves teacher user health intelligent regulation degree.
Further, as shown in fig. 2, the embodiment of the present application further includes step S600:
step S610: obtaining the voice decibel size of a user;
step S620: obtaining classroom area information;
step S630: inputting the classroom area information and the voice decibel size of the user into a public address decibel estimation model to obtain a first public address decibel;
step S640: obtaining a first control instruction;
step S650: and controlling the intelligent sound amplifying device to amplify the sound according to the first sound amplifying decibel according to the first control instruction.
Specifically, the sound intensity of the teacher user in a certain time period during class speaking is acquired through intelligent wearing equipment on the teacher user, and then the average value of the time intensity in the time period is taken, so that the voice decibel is obtained. The decibel is a measurement unit for measuring the quantitative ratio of two same units, and is mainly used for measuring the sound intensity. And further calculating the length and width data of the classroom where the corresponding teacher user lectures, and further calculating to obtain the classroom area information. And inputting the classroom area information and the voice decibel of the user into a public address decibel estimation model, and intelligently analyzing the public address decibel estimation model to obtain parameter information for sound amplification based on the current actual lecture sound intensity and the classroom area of a corresponding teacher, namely obtaining the first public address decibel. The intelligent sound amplifying device comprises an intelligent sound amplifying device, a sound amplifying decibel estimation model, an intelligent monitoring reminding device and a sound amplifying decibel display device, wherein the sound amplifying decibel estimation model is embedded into the intelligent sound amplifying device, and when the sound amplifying decibel estimation model outputs a first sound amplifying decibel, the intelligent monitoring reminding device based on identification display automatically sends a first control instruction for controlling the intelligent sound amplifying device to amplify the sound according to the first sound amplifying decibel.
Furthermore, the public address decibel estimation model is a neural network model and has the characteristics of the neural network model. The neural network model is a neural network model in machine learning, reflects many basic characteristics of human brain functions, is a deep feedforward neural network with the characteristics of local connection, weight sharing and the like, and is a highly complex nonlinear dynamic learning system. The sound amplification decibel estimation model established based on the neural network model can output the first sound amplification decibel accurately. In addition, the public address decibel estimation model can continuously carry out self-training learning according to training data, each group of data in the multiple groups of training data comprises classroom area information, the voice decibel size of the user and identification information for identifying a first public address decibel, the public address decibel estimation model continuously carries out self-correction, and when the output information of the public address decibel estimation model reaches a preset accuracy rate/convergence state, the supervised learning process is finished. Through carrying out data training on the sound amplification decibel estimation model, the sound amplification decibel estimation model is more accurate in processing input data, the output first sound amplification decibel is more accurate, data information is accurately obtained, and the intelligent technical effect of an assessment result is improved.
Through public address decibel estimation model is based on current actual lecture sound intensity of teacher, actual conditions such as the classroom area of locating, and the intellectuality obtains first public address decibel, thereby does intelligent public address set public address provides the data reference, avoids the public address excessively to cause the student uncomfortable, avoids influencing the normal teaching in next door classroom simultaneously, has reached and has formulated public address scheme based on actual conditions individuality, guarantees the public address effect, and then ensures the technical effect of teacher's quality of giving lessons.
Further, as shown in fig. 3, step S650 in this embodiment of the present application further includes:
step S651: acquiring parameter information of the intelligent sound amplifying device;
step S652: obtaining a rated sound amplifying decibel threshold value of the intelligent sound amplifying device according to the parameter information of the intelligent sound amplifying device;
step S653: judging whether the first sound amplification decibel is within the rated sound amplification decibel threshold value or not;
step S654: and if the first sound amplifying decibel is within the rated sound amplifying decibel threshold value, sound amplifying is carried out according to the first sound amplifying decibel.
Specifically, the corresponding parameter information, such as relevant data of an intelligent sound amplifying device manufacturer, a model, a rated sound amplifying decibel and the like, is determined through the intelligent sound amplifying device. And then determining a rated sound amplification decibel threshold value of the intelligent sound amplification device based on the parameter information. And further, judging whether the first sound amplifying decibel obtained by the intelligent analysis of the sound amplifying decibel estimation model is within a rated sound amplifying decibel threshold value of the intelligent sound amplifying device. The rated sound amplification decibel threshold value refers to a sound amplification decibel value range of the corresponding intelligent sound amplification device. And if the first sound amplifying decibel is within the rated sound amplifying decibel threshold value, sound amplifying is carried out according to the first sound amplifying decibel. Through obtaining the rated public address decibel threshold value that corresponds intelligent public address set, only when first public address decibel is in within the rated public address decibel threshold value, the device just can carry out public address adjustment to ensure intelligent public address set's normal use, guarantee final public address quality simultaneously.
Further, step S653 in this embodiment of the present application further includes:
step S6531: if the first sound amplifying decibel exceeds the rated sound amplifying decibel threshold value, judging whether the health value of the user is in a preset range;
step S6532: and if the health value is not within the preset range, second reminding information is obtained, and the user is reminded of fatigue adjustment through the second reminding information.
Specifically, whether the first sound amplification decibel obtained through intelligent analysis of the sound amplification decibel estimation model is within a rated sound amplification decibel threshold value of the intelligent sound amplification device is judged, and when the first sound amplification decibel exceeds the rated sound amplification decibel threshold value, namely the first sound amplification decibel is lower than the rated sound amplification decibel threshold value and higher than the rated sound amplification decibel threshold value, the sound abnormality of a current teacher user is explained. The intelligent monitoring reminding device based on the identification display automatically judges and judges the health value of the user, and when the health value is not within a preset range, the second reminding information is obtained. Wherein, the preset range refers to a corresponding sound intensity range when the physical health value of the teacher user is in a normal range. Based on the second reminding information, the intelligent monitoring reminding device based on the identification display automatically reminds the user to adjust the fatigue degree. By carrying out the corresponding health degree check when the user has abnormal sound, the user is reminded to have a rest or adjust immediately once the user has abnormal health degree, so that excessive overdraft of the body is avoided, and various chronic diseases are further developed.
Further, step S500 in the embodiment of the present application further includes:
step S510: obtaining a predetermined grade division standard;
step S520: grading the first fatigue degree information according to the preset grading standard to obtain a first grading result;
step S530: and obtaining first reminding information according to the first grading result.
Specifically, the predetermined grading standard is determined by the intelligent monitoring and reminding device based on the identification display through comprehensive analysis of the fatigue health results of the user and the like. For example, the first fatigue level is 20% fatigue, the second fatigue level is 40% fatigue, the third fatigue level is 60% fatigue, the fourth fatigue level is 80% fatigue, and the fifth fatigue level is 100% fatigue. And grading the first fatigue degree information according to the preset grading standard so as to obtain a first fatigue degree grading result, namely the first grading result. And finally, reminding the user in different levels according to the first grading result, namely the first reminding information. For example, when the fatigue degree of the user is a first fatigue grade, the intelligent monitoring reminding device based on the identification display sends out message reminding, when the fatigue degree of the user is a second fatigue grade, the intelligent monitoring reminding device based on the identification display sends out music reminding, when the fatigue degree of the user is a third fatigue grade, the intelligent monitoring reminding device based on the identification display sends out music strong reminding, when the fatigue degree of the user is a fourth fatigue grade, the intelligent monitoring reminding device based on the identification display sends out strong reminding, and stops working after ten minutes, and the like. Through the reminding at different levels, the user can correspondingly carry out different responses, thereby achieving the technical effects of graded reminding and leaving time plan adjustment for the user.
Further, as shown in fig. 4, step S300 in this embodiment of the present application further includes:
step S310: obtaining real-time body temperature information, heart rate information and blood oxygen saturation information of the user according to the intelligent wearing;
step S320: and carrying out entropy weighted calculation on the real-time body temperature information, the heart rate information and the blood oxygen saturation information to obtain the health value.
Specifically, through each item of intelligent wearing equipment that teacher user wore with, index such as body temperature, heart rate, oxyhemoglobin saturation to teacher user carries out real-time supervision to obtain real-time body temperature information, heart rate information and oxyhemoglobin saturation information. Further, entropy weighted calculation is carried out on the real-time body temperature information, the heart rate information and the blood oxygen saturation information, and the health value of the corresponding teacher user is obtained. The entropy method is a mathematical method for judging the dispersion degree of a certain index. The greater the degree of dispersion, the greater the influence of the index on the comprehensive evaluation, so the degree of dispersion of the index can be judged by the entropy value. And uploading the real-time body temperature information, the heart rate information and the oxyhemoglobin saturation information which are monitored in real time by intelligent wearing through SPSS software, so that the weights of the three indexes of the body temperature, the heart rate and the oxyhemoglobin saturation are obtained through entropy analysis. Further, normalization processing is carried out on the real-time body temperature information, the heart rate information and the blood oxygen saturation degree information, and the health value is obtained through calculation by combining the normalization processing result with the weight of each index.
The user health value is obtained through calculation, the user health degree is judged based on the user body actual data, and the objective and effective technical effect of the evaluation result is ensured.
Further, step S200 in the embodiment of the present application further includes:
step S210: and respectively training the sound frequency and the accumulated occurrence time through a first classifier and a second classifier, and then performing feature fusion to obtain a sound intensity value, wherein the first classifier is different from the second classifier.
Specifically, the first classifier is used for intelligently training the sound production frequency of the teacher user, the second classifier is used for intelligently training the accumulated occurrence time of the teacher user, and then the training results of the first classifier and the second classifier are subjected to feature fusion, so that the sound production intensity value is obtained. Wherein the first classifier is different from the second classifier. Redundancy is removed from the sound frequency and the accumulated occurrence time, and the sound intensity value obtained after integration provides data basis for subsequently evaluating the fatigue degree of the teacher user, so that the technical effect of simplifying subsequent evaluation processing is achieved.
To sum up, the intelligent monitoring reminding method based on the identification display provided by the embodiment of the application has the following technical effects:
1. obtaining the sound frequency and the accumulated sound production duration of a user in a preset time period through the intelligent sound amplification device; carrying out feature fusion on the sounding frequency and the accumulated occurrence duration to obtain a sounding intensity value; obtaining a health value of the user according to the smart wearing; inputting the sounding strength value and the health value into a fatigue degree evaluation model to obtain output information of the fatigue degree evaluation model, wherein the output information comprises first fatigue degree information of the user; and acquiring first reminding information according to the first fatigue degree information, and reminding the user to adjust the fatigue degree through the first reminding information. Reach based on intelligent public address set real-time supervision teacher user's vocal frequency size and vocal time length, and then the analysis obtains teacher user's vocal intensity value, combines the healthy value that teacher user was intelligent dressed and is monitored on one's body, and the tired degree of intelligent evaluation teacher user's present health to send corresponding adjustment and remind. Through intelligent real-time assessment teacher user's health fatigue degree, and then in time remind the corresponding teacher user to carry out the health adjustment to ensure that teacher user is healthy, reached the technological effect that improves teacher user health intelligent regulation degree.
2. Through public address decibel estimation model is based on current actual lecture sound intensity of teacher, actual conditions such as the classroom area of locating, and the intellectuality obtains first public address decibel, thereby does intelligent public address set public address provides the data reference, avoids the public address excessively to cause the student uncomfortable, avoids influencing the normal teaching in next door classroom simultaneously, has reached and has formulated public address scheme based on actual conditions individuality, guarantees the public address effect, and then ensures the technical effect of teacher's quality of giving lessons.
3. Real-time body temperature, heart rate and oxyhemoglobin saturation index weights are obtained through calculation by an entropy method, and then a user health value is obtained through calculation, so that the technical effects of judging the body health degree of a user based on actual body data of the user and ensuring objective and effective evaluation results are achieved.
Example two
Based on the same inventive concept as the intelligent monitoring and reminding method based on the identification display in the foregoing embodiment, the present invention further provides an intelligent monitoring and reminding device based on the identification display, please refer to fig. 5, the system includes:
a first obtaining unit 11, where the first obtaining unit 11 is configured to obtain, by using an intelligent loudspeaker device, a sound frequency and an accumulated sound emitting time of a user within a predetermined time period;
the second obtaining unit 12, where the second obtaining unit 12 is configured to perform feature fusion on the sound frequency and the accumulated occurrence duration to obtain a sound intensity value;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain a health value of the user according to smart wearing;
a fourth obtaining unit 14, where the fourth obtaining unit 14 is configured to input the utterance strength value and the health value into a fatigue evaluation model, and obtain output information of the fatigue evaluation model, where the output information includes first fatigue information of the user;
and the first execution unit 15 is configured to obtain first reminding information according to the first fatigue degree information, and remind the user of fatigue degree adjustment through the first reminding information.
Further, the system further comprises:
a fifth obtaining unit, configured to obtain a voice decibel size of a user;
a sixth obtaining unit configured to obtain classroom area information;
a seventh obtaining unit, configured to input the classroom area information and the user's voice decibel size into a public address decibel estimation model, and obtain a first public address decibel;
an eighth obtaining unit configured to obtain a first control instruction;
and the second execution unit is used for controlling the intelligent sound amplifying device to amplify the sound according to the first sound amplifying decibel according to the first control instruction.
Further, the system further comprises:
a ninth obtaining unit, configured to obtain parameter information of the smart microphone device;
a tenth obtaining unit, configured to obtain a rated decibel threshold of the smart microphone device according to the parameter information of the smart microphone device;
the first judging unit is used for judging whether the first sound amplification decibel is within the rated sound amplification decibel threshold value or not;
and the third execution unit is used for amplifying according to the first sound amplification decibel if the first sound amplification decibel is within the rated sound amplification decibel threshold value.
Further, the system further comprises:
a second judging unit, configured to judge whether the health value of the user is within a predetermined range if the first decibel of the loudspeaker exceeds the threshold of the rated decibel of the loudspeaker;
and the fourth execution unit is used for acquiring second reminding information if the health value is not in the preset range, and reminding the user to adjust the fatigue degree through the second reminding information.
Further, the system further comprises:
an eleventh obtaining unit configured to obtain a predetermined ranking criterion;
a twelfth obtaining unit, configured to perform ranking on the first fatigue degree information according to the predetermined ranking standard, and obtain a first ranking result;
a thirteenth obtaining unit, configured to obtain the first reminding information according to the first classification result.
Further, the system further comprises:
a fourteenth obtaining unit, configured to obtain real-time body temperature information, heart rate information, and blood oxygen saturation information of the user according to the smart wearing;
a fifteenth obtaining unit, configured to perform entropy weighted calculation on the real-time body temperature information, the heart rate information, and the blood oxygen saturation information, so as to obtain the health value.
Further, the system further comprises:
and a sixteenth obtaining unit, configured to perform feature fusion after the sound frequency and the accumulated occurrence duration are trained respectively through a first classifier and a second classifier, and obtain a sound intensity value, where the first classifier is different from the second classifier.
In the present description, each embodiment is described in a progressive manner, and the main point of description of each embodiment is that the embodiment is different from other embodiments, and the foregoing intelligent monitoring and reminding method based on identification display in the first embodiment of fig. 1 and the specific example are also applicable to the intelligent monitoring and reminding device based on identification display in this embodiment. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Exemplary electronic device
The electronic apparatus of the embodiment of the present application is described below with reference to fig. 6.
Fig. 6 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of the intelligent monitoring and reminding method based on the identification display in the foregoing embodiments, the present invention further provides an intelligent monitoring and reminding device based on the identification display, wherein a computer program is stored thereon, and when the program is executed by a processor, the steps of any one of the foregoing intelligent monitoring and reminding methods based on the identification display are implemented.
Where in fig. 6 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The application provides an intelligent monitoring and reminding method based on identification display, which is applied to an intelligent monitoring and reminding device based on identification display, wherein the method comprises the following steps: obtaining the sound frequency and the accumulated sound production duration of a user in a preset time period through the intelligent sound amplification device; carrying out feature fusion on the sounding frequency and the accumulated occurrence duration to obtain a sounding intensity value; obtaining a health value of the user according to the smart wearing; inputting the sounding strength value and the health value into a fatigue degree evaluation model to obtain output information of the fatigue degree evaluation model, wherein the output information comprises first fatigue degree information of the user; and acquiring first reminding information according to the first fatigue degree information, and reminding the user to adjust the fatigue degree through the first reminding information. The technical problem that in the prior art, a teacher feels tired due to professional particularity, and cannot adjust in time to cause sub-health is solved. Reach based on intelligent public address set real-time supervision teacher user's vocal frequency size and vocal time length, and then the analysis obtains teacher user's vocal intensity value, combines the healthy value that teacher user was intelligent dressed and is monitored on one's body, and the tired degree of intelligent evaluation teacher user's present health to send corresponding adjustment and remind. Through intelligent real-time assessment teacher user's health fatigue degree, and then in time remind the corresponding teacher user to carry out the health adjustment to ensure that teacher user is healthy, reached the technological effect that improves teacher user health intelligent regulation degree.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, the present application may take the form of an entirely software embodiment, an entirely hardware embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application is in the form of a computer program product that may be embodied on one or more computer-usable storage media having computer-usable program code embodied therewith. And such computer-usable storage media include, but are not limited to: 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 Memory, a Compact Disc Read-Only Memory (CD-ROM), and an optical Memory.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. An intelligent monitoring and reminding method based on identification display is applied to an intelligent sound amplification device, the intelligent sound amplification device is in communication connection with an intelligent wearing device, and the method comprises the following steps:
obtaining the sound frequency and the accumulated sound production duration of a user in a preset time period through the intelligent sound amplification device;
carrying out feature fusion on the sounding frequency and the accumulated occurrence duration to obtain a sounding intensity value;
obtaining a health value of the user according to the smart wearing;
inputting the sounding strength value and the health value into a fatigue degree evaluation model to obtain output information of the fatigue degree evaluation model, wherein the output information comprises first fatigue degree information of the user;
and acquiring first reminding information according to the first fatigue degree information, and reminding the user to adjust the fatigue degree through the first reminding information.
2. The method of claim 1, wherein the method further comprises:
obtaining the voice decibel size of a user;
obtaining classroom area information;
inputting the classroom area information and the voice decibel size of the user into a public address decibel estimation model to obtain a first public address decibel;
obtaining a first control instruction;
and controlling the intelligent sound amplifying device to amplify the sound according to the first sound amplifying decibel according to the first control instruction.
3. The method of claim 2, wherein the method further comprises:
acquiring parameter information of the intelligent sound amplifying device;
obtaining a rated sound amplifying decibel threshold value of the intelligent sound amplifying device according to the parameter information of the intelligent sound amplifying device;
judging whether the first sound amplification decibel is within the rated sound amplification decibel threshold value or not;
and if the first sound amplifying decibel is within the rated sound amplifying decibel threshold value, sound amplifying is carried out according to the first sound amplifying decibel.
4. The method of claim 3, wherein the determining whether the first decibel of amplification is within the threshold decibel of nominal decibel of amplification further comprises:
if the first sound amplifying decibel exceeds the rated sound amplifying decibel threshold value, judging whether the health value of the user is in a preset range;
and if the health value is not within the preset range, second reminding information is obtained, and the user is reminded of fatigue adjustment through the second reminding information.
5. The method of claim 1, wherein the obtaining first reminding information according to the first fatigue degree information, and reminding the user of fatigue degree adjustment through the first reminding information comprises:
obtaining a predetermined grade division standard;
grading the first fatigue degree information according to the preset grading standard to obtain a first grading result;
and obtaining first reminding information according to the first grading result.
6. The method of claim 1, wherein the obtaining the health value of the user from the smart wear comprises:
obtaining real-time body temperature information, heart rate information and blood oxygen saturation information of the user according to the intelligent wearing;
and carrying out entropy weighted calculation on the real-time body temperature information, the heart rate information and the blood oxygen saturation information to obtain the health value.
7. The method of claim 1, wherein said feature fusing said voicing frequency and said cumulative duration of occurrence to obtain a voicing intensity value comprises:
and respectively training the sound frequency and the accumulated occurrence time through a first classifier and a second classifier, and then performing feature fusion to obtain a sound intensity value, wherein the first classifier is different from the second classifier.
8. The utility model provides an intelligent monitoring reminding device based on sign shows which characterized in that, the device includes:
a first obtaining unit: the first obtaining unit is used for obtaining the sound production frequency and the accumulated sound production duration of the user in a preset time period through the intelligent sound amplification device;
a second obtaining unit: the second obtaining unit is used for carrying out feature fusion on the sounding frequency and the accumulated occurrence time length to obtain a sounding intensity value;
a third obtaining unit: the third obtaining unit is used for obtaining the health value of the user according to intelligent wearing;
a fourth obtaining unit: the fourth obtaining unit is configured to input the vocalization strength value and the health value into a fatigue degree evaluation model, and obtain output information of the fatigue degree evaluation model, where the output information includes first fatigue degree information of the user;
a first execution unit: the first execution unit is used for obtaining first reminding information according to the first fatigue degree information and reminding the user of fatigue degree adjustment through the first reminding information.
9. An intelligent monitoring and reminding device based on identification display, comprising a memory, a processor and a computer program which is stored on the memory and can be run on the processor, wherein the processor executes the program to realize the steps of the method of any one of claims 1 to 7.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040243401A1 (en) * | 1998-10-05 | 2004-12-02 | Director General Of Ship Research Institute Ministry Of Transport, Hiroyuki Adachi | Apparatus for detecting fatigue and doze by voice, and recording medium |
| RU2317773C1 (en) * | 2006-07-31 | 2008-02-27 | Негосударственное некоммерческое образовательное учреждение "Институт управления" | Method for detecting the fatigue in teachers and professors |
| US20200205747A1 (en) * | 2018-12-26 | 2020-07-02 | Flashback Technologies, Inc. | Device-Based Maneuver and Activity State-Based Physiologic Status Monitoring |
| CN113660566A (en) * | 2021-08-20 | 2021-11-16 | 尚志国 | Voice teaching-aid sound amplification system with functions of waking up and refreshing and method thereof |
| CN113780150A (en) * | 2021-09-07 | 2021-12-10 | 广西电网有限责任公司贺州供电局 | Fatigue detection method and system based on multi-dimensional body state perception |
-
2021
- 2021-12-24 CN CN202111594110.1A patent/CN114010170B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040243401A1 (en) * | 1998-10-05 | 2004-12-02 | Director General Of Ship Research Institute Ministry Of Transport, Hiroyuki Adachi | Apparatus for detecting fatigue and doze by voice, and recording medium |
| RU2317773C1 (en) * | 2006-07-31 | 2008-02-27 | Негосударственное некоммерческое образовательное учреждение "Институт управления" | Method for detecting the fatigue in teachers and professors |
| US20200205747A1 (en) * | 2018-12-26 | 2020-07-02 | Flashback Technologies, Inc. | Device-Based Maneuver and Activity State-Based Physiologic Status Monitoring |
| CN113660566A (en) * | 2021-08-20 | 2021-11-16 | 尚志国 | Voice teaching-aid sound amplification system with functions of waking up and refreshing and method thereof |
| CN113780150A (en) * | 2021-09-07 | 2021-12-10 | 广西电网有限责任公司贺州供电局 | Fatigue detection method and system based on multi-dimensional body state perception |
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