CN116610221B - Intelligent keyboard capable of monitoring physiological indexes of user and computer system - Google Patents
Intelligent keyboard capable of monitoring physiological indexes of user and computer system Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 26
- 238000012545 processing Methods 0.000 claims abstract description 47
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- 238000004364 calculation method Methods 0.000 claims description 15
- 230000036391 respiratory frequency Effects 0.000 claims description 13
- 230000036387 respiratory rate Effects 0.000 claims description 9
- 230000035565 breathing frequency Effects 0.000 claims description 7
- 230000003044 adaptive effect Effects 0.000 claims description 3
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- 238000007405 data analysis Methods 0.000 description 4
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Classifications
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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
-
- 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
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
- A61B5/6897—Computer input devices, e.g. mice or keyboards
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/02—Input arrangements using manually operated switches, e.g. using keyboards or dials
- G06F3/0202—Constructional details or processes of manufacture of the input device
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2203/00—Indexing scheme relating to G06F3/00 - G06F3/048
- G06F2203/01—Indexing scheme relating to G06F3/01
- G06F2203/011—Emotion or mood input determined on the basis of sensed human body parameters such as pulse, heart rate or beat, temperature of skin, facial expressions, iris, voice pitch, brain activity patterns
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention relates to the technical field of keyboards, and particularly discloses an intelligent keyboard and a computer system capable of monitoring physiological indexes of a user, wherein a millimeter wave sensor in the keyboard is used for detecting distance data with a human body; the keyboard controller is used for processing the distance data according to a preset data processing strategy to obtain the physiological index of the human body; the data processing strategy comprises the following steps: acquiring distance data of a preset first duration; calculating a distance average value according to the distance data; calculating first data according to the distance data and the distance average value; processing the first data to obtain respiratory waves and heart rate waves of the user; and obtaining the physiological index of the human body according to the maximum value interval in the respiratory wave and the heart rate wave. The invention realizes the monitoring of the physiological index of the user, adopts passive measurement, does not influence the working efficiency of the user, performs filtering operation in the specific data processing process, further ensures the accuracy of the monitoring result and improves the use feeling of the user.
Description
Technical Field
The invention relates to the technical field of intelligent keyboards, in particular to an intelligent keyboard capable of monitoring physiological indexes of users and a computer system.
Background
The computer is commonly called as a computer, is a modern electronic computing machine for high-speed computation, can perform numerical computation, can perform logic computation, and has a memory function. The intelligent electronic device is modern intelligent electronic equipment which can automatically and rapidly process mass data according to program operation. A keyboard is a device for inputting instructions and data for operating a computer device, and also refers to a set of function keys (e.g., typewriter, computer keyboard) arranged by the system to operate a machine or device. The keyboard is the most commonly used and main input device, and english letters, numbers, punctuation marks and the like can be input into a computer through the keyboard, so that commands, input data and the like can be sent to the computer. There are also keyboards with various shortcuts. Over time, independent products with various shortcut functions are sold separately in the market, and special driving and setting software is provided, so that personalized operation can be realized on a compatible machine.
Along with most of the work of modern people can be completed quickly and effectively by using a computer, therefore, besides the smart phone and the tablet personal computer, the computer keyboard is an electronic device which is used by the modern people at most in one day, and the working pressure of the modern people is generally large, so the computer keyboard with the physiological parameter detection function is generated, so that people can detect personal physiological parameters at any time under the condition of using the computer keyboard, and daily measurement and management of the personal physiological parameters are achieved. But all adopt contact measurement's mode in the current product, need people to initiatively detect, this can produce the influence to people's work efficiency, and secondly, still some products have combined the camera, and this also can cause personal privacy to reveal, and the security is low.
Based on the above background, a need exists for a new solution to the above problems.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides an intelligent keyboard and a computer system capable of monitoring physiological indexes of users.
The invention comprises an intelligent keyboard capable of monitoring physiological indexes of a user, which comprises a keyboard main body and a millimeter wave sensor arranged on the keyboard main body, wherein the millimeter wave sensor is electrically connected with a keyboard controller in the keyboard main body; wherein,
the millimeter wave sensor is used for detecting distance data between the millimeter wave sensor and a human body; the keyboard controller is used for processing the distance data according to a preset data processing strategy to obtain the physiological index of the human body;
the data processing strategy comprises the following steps:
acquiring distance data of a preset first duration;
calculating a distance average value according to the distance data;
calculating first data according to the distance data and the distance average value, wherein the first data isThe method comprises the steps of carrying out a first treatment on the surface of the S is the first data, dat is the distance data, mean (dat) is the distance average;
processing the first data according to a preset filtering processing strategy to obtain respiratory waves and heart rate waves of a user;
obtaining physiological indexes of a human body according to the maximum value interval in the respiratory wave and the heart rate wave;
the filtering strategy comprises the following steps:
filtering the first data through a preset adaptive filter to obtain a first respiratory frequency FH;
calculating a second respiratory rate FL through the first respiratory rate FH and a preset first coefficient;
performing low-pass filtering on the first data through the second respiratory frequency FL to obtain the respiratory wave;
and calculating the difference value between the first data and the respiratory wave to obtain the heart rate wave.
Further, calculating the second respiratory rate FL according to the first respiratory rate FH and a preset first coefficient includes:
and calculating the product of the first coefficient and the first respiratory frequency FH, and rounding the set bit number to obtain the second respiratory frequency FL.
Further, before the first data is processed according to the preset filtering processing strategy, the method further includes:
generating an energy spectrogram according to the first data;
and deleting the energy spectrum of which the energy value is positioned outside a preset energy interval in the energy spectrum graph, and generating new first data according to the residual energy spectrum.
Further, generating an energy spectrum graph according to the first data, including:
simplifying the first data into second data through linear interpolation;
pass window functionProcessing said second data and converting all trigonometric functions therein into a sinusoidal function +.>Obtaining third data; wherein x is the number of data contained in the second data, < >>；
Calculating the numerical value of the third data through a preset data calculation strategy;
and generating an energy spectrogram according to the third data.
Further, the data calculation policy includes:
to build up an array of sine functions for a scale；And->；
Establishing cosine function array with/M as one division；
By passing throughCalculating a value of the third data; wherein (1)>，/>Is the angle corresponding to the value in the sine function array AL, and +.>；Is the angle corresponding to the value in the cosine function array DL, and +.>；/>. Further, before the first data is processed according to the preset filtering processing strategy, the method further includes:
calculating the difference between adjacent maximum values and minimum values in the first data;
and deleting the wave crest-wave trough section data of which the difference between the adjacent maximum value and the adjacent minimum value is outside the preset difference value interval, and generating new first data according to the residual data.
Further, the data processing policy further includes:
judging whether the distance data has the condition that the distance is unchanged or not;
if yes, generating state information that the user is not at the post.
Further, the keyboard comprises a fingerprint module which is embedded on keys in the keyboard main body, and the fingerprint module is electrically connected with the keyboard controller;
the fingerprint module is used for acquiring fingerprint information of a human body;
the keyboard controller is used for pre-storing computer user information, matching the fingerprint information with the computer user information, and logging in a computer system after the matching is passed;
the keyboard controller is also used for classifying and storing the physiological indexes according to the computer user information and counting the working time of the user according to the state information that the user is not in the post.
Further, the millimeter wave sensor is mounted on a side of the keyboard body near a side of the human body.
Further, the fingerprint module is mounted on the F key and/or the J key.
The invention also comprises a computer system, wherein the computer system comprises a computer, a keyboard and a mouse, and the keyboard and the mouse are all in communication connection with the computer; the keyboard is the keyboard.
The intelligent keyboard and the computer system capable of monitoring the physiological indexes of the user comprise a keyboard main body and a millimeter wave sensor arranged on the keyboard main body, wherein the millimeter wave sensor is electrically connected with a keyboard controller in the keyboard main body; the millimeter wave sensor is used for detecting distance data between the millimeter wave sensor and a human body; the keyboard controller is used for processing the distance data according to a preset data processing strategy to obtain the physiological index of the human body; the data processing strategy comprises the following steps: acquiring distance data of a preset first duration; calculating a distance average value according to the distance data; calculating first data according to the distance data and the distance average value, wherein the first data isThe method comprises the steps of carrying out a first treatment on the surface of the Processing the first data according to a preset filtering processing strategy to obtain respiratory waves and heart rate waves of a user; and obtaining the physiological index of the human body according to the maximum value interval in the respiratory wave and the heart rate wave. The invention realizes the monitoring of the physiological index of the user, adopts passive measurement, does not influence the working efficiency of the user, performs filtering operation in the specific data processing process, further ensures the accuracy of the monitoring result and improves the use feeling of the user.
Drawings
For a clearer description of embodiments of the invention or of solutions in the prior art, the drawings which are used in the description of the embodiments or of the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained from them without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram (I) of a smart keyboard capable of monitoring physiological indexes of a user according to an embodiment of the present invention;
FIG. 2 is a diagram showing a structure of a smart keyboard for monitoring physiological indexes of a user according to an embodiment of the present invention;
FIG. 3 is a flowchart of a functional implementation step of a smart keyboard capable of monitoring physiological indexes of a user according to an embodiment of the present invention;
FIG. 4 is a flowchart of a functional implementation step of a smart keyboard capable of monitoring physiological indexes of a user according to an embodiment of the present invention;
FIG. 5 is a diagram showing the structural components of a smart keyboard for monitoring physiological indexes of a user according to an embodiment of the present invention;
FIG. 6 is a block diagram of a computer system according to an embodiment of the present invention;
FIG. 7 is a diagram of data analysis according to an embodiment of the present invention;
FIG. 8 is a diagram of data analysis according to an embodiment of the present invention (II);
FIG. 9 is a data analysis chart (III) of an embodiment of the present invention;
FIG. 10 is a data analysis chart (IV) of an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to fall within the scope of the invention.
As shown in fig. 1 and 2, the intelligent keyboard capable of monitoring physiological indexes of a user comprises a keyboard main body 10 and a millimeter wave sensor 20 arranged on the keyboard main body 10, wherein the millimeter wave sensor 20 is electrically connected with a keyboard controller 30 in the keyboard main body 10; wherein the millimeter wave sensor 20 is used for detecting distance data with a human body; the keyboard controller 30 is configured to process the distance data according to a preset data processing policy, so as to obtain a physiological index of the human body.
The millimeter wave sensor 20 of the present invention can emit detection waves, and in order to achieve more accurate detection, a TOF sensor can be added for measurement and calculation. The millimeter wave sensor 20 may be an ultrasonic millimeter sensor or a radio sensor, for example, a sensor with an operating frequency of 175 kHz, according to the relationship of sound wave velocity, wavelength, and frequency: wave velocity v=wavelength λ×frequency f, and can be obtainedAccording to wave diffraction, 2mm ultrasonic waves can easily penetrate through clothes (the diameter of clothes fiber is far smaller than the value), and the ultrasonic waves are reflected by a human body, so that the distance between the human body and the keyboard can be obtained.
The millimeter wave sensor 20 of the embodiment of the present invention is mounted on the side of the keyboard main body 10 near the human body side. Specifically, the middle position of the positions of the two thumbs when the user uses the keyboard is, so that the interference of monitoring results during typing of the hands of the user is avoided as much as possible, and the detection accuracy is influenced.
In the embodiment of the present invention, as shown in fig. 3, the data processing policy includes the following steps:
step S101: distance data of a preset first duration are obtained.
Since the fluctuation of the thoracic cavity during the respiration of the human body causes the change of the distance between the millimeter wave sensor 20 and the human body, the detection data obtained by the millimeter wave sensor 20 will also exhibit a waveform change of a certain frequency along with the respiration of the human body. In order to accurately measure the heart rate of the user, the sampling frequency of the millimeter wave sensor 20 of the embodiment of the present invention is set to 100Hz.
The preset first duration of the embodiment may be set according to specific situations, for example, physical conditions of the user, gender of the user, obesity of the user, and the like. As an example, the present embodiment sets the first time to 30 seconds, and this step acquires distance data for 30 seconds in succession, and in view of the foregoing example setting the sampling frequency to 100Hz, 3000 pieces of distance data for 30 seconds are obtained, which is recorded as。
Step S102: a distance average is calculated from the distance data.
The distance average value is obtained by dividing the sum of the distance data by the number of the distance data, and can be expressed as:
is the distance average.
Step S103: calculating first data according to the distance data and the distance average value, wherein the first data isThe method comprises the steps of carrying out a first treatment on the surface of the S is the first data.
A waveform diagram as shown in fig. 7 may be generated from the first data.
If the respiration value is directly extracted from the first data, only about the respiration value can be obtained, because the respiration and heart rate variation of the human body are not completely periodical, and some abrupt changes occur, the first data needs to be filtered and then the physiological index is extracted, so the method further comprises the following steps.
Step S104: and processing the first data according to a preset filtering processing strategy to obtain respiratory waves and heart rate waves of the user.
Specifically, the filtering processing strategy in the embodiment of the invention comprises the following steps:
step S1041: and filtering the first data through a preset adaptive filter to obtain a first respiratory frequency FH.
In order to ensure more accurate physiological index information of the user, the first data is required to be subjected to frequency division processing, and because the breathing frequency and the heart rate of different users are different and crossed, the breathing frequency is generally 0.1-Hz Hz, and the heart rate frequency is 0.5-Hz Hz, the self-adaptive filtering is more suitable. The method comprises the following steps: the first data is filtered through pre-stored low-pass frequency devices of 0.2Hz, 0.3 Hz, 0.4 Hz, … …, 1.4 Hz and 1.5 Hz to obtain new first data, an energy spectrogram is generated according to the new first data, as shown in fig. 8, and the first respiratory frequency FH is determined according to the frequency of occurrence of the total extremely high peak of the energy spectrogram.
Step S1042: the second breathing frequency FL is calculated by the first breathing frequency FH and a preset first coefficient.
Assuming that the first respiratory rate FH is 0.2667 obtained by the above steps, the second respiratory rate FL is calculated from the first coefficient set by the person. Specifically, the product of the first coefficient and the first respiratory frequency FH is calculated, and the set number of bits is rounded to obtain the second respiratory frequency FL. Assuming that the first coefficient takes a value of 1.5, thenHere, the numerator of the calculation is multiplied by 10, and the denominator is 10, so that the fl=0.4 is obtained by the calculation in order to round the set number of bits at the time of the calculation.
Step S1043: and carrying out low-pass filtering on the first data through the second respiratory frequency FL to obtain respiratory waves.
As shown in fig. 9, a waveform diagram of the respiratory wave is shown.
Step S1044: and calculating the difference value between the first data and the respiratory wave to obtain the heart rate wave.
Heart rate waves are calculated by sr=s-Sh, where S is first data, sh is respiratory wave, and here the first data S is new first data obtained by the foregoing steps.
As shown in fig. 10, a waveform of heart rate wave is shown.
According to the embodiment of the invention, the respiratory wave or the respiratory value of the user is obtained first, and then the heart rate wave or the heart rate value of the user is obtained, because the change of the distance data caused by human respiration is far greater than the change of the distance data caused by heartbeat, the respiratory value with more obvious change is estimated first, and then the heart rate value is processed.
After the respiratory wave and the heart rate wave are obtained through the foregoing steps, step S105 is performed.
Step S105: and obtaining the physiological index of the human body according to the maximum value interval in the respiratory wave and the heart rate wave.
As shown in fig. 9, it is assumed that two maxima in the respiratory waveThe abscissa of (2) is 4.54 and 26.71, respectively, and there are 5 periodic waves before, and the respiration data of the user is calculated according to the two values as. As shown in fig. 10, assuming that the abscissa of two maximum values in the heart rate wave is 1.06 and 29.27, respectively, which were 30 periodic waves before, the heart rate data of the user is calculated from these two values as +.>。
Specifically, in another embodiment of the present invention, in step S104 of the foregoing embodiment: before the first data is processed according to the preset filtering processing strategy, the method further comprises the following steps:
an energy spectrum graph is generated from the first data.
And deleting the energy spectrum with the energy value outside the preset energy interval in the energy spectrum diagram, and generating new first data according to the residual energy spectrum.
The foregoing embodiments are all implemented by data processing performed without human body interference, but in reality, besides body movement caused by breathing and heart rate, irregular actions also cause a large amount of interference values, and users must make more or less irregular movements in the working process, so that interference items need to be removed before further processing of data, for example, the embodiment deletes an energy spectrum with energy values outside a preset energy interval in an energy spectrum diagram. For example, since the respiratory rate is usually 0.1 to Hz Hz, the energy spectrum outside the range of values is deleted, and this is because the distance data is affected by the excessive human motion.
If the single chip microcomputer is adopted to realize the steps, a simple algorithm can be considered to optimize the calculation speed, so that the steps of the embodiment of the invention are as follows: generating an energy spectrogram according to the first data, specifically comprising:
and simplifying the first data into second data through linear interpolation.
In combination with the foregoingFirst data of the embodimentIn total, 3000 data are obtained, the first data can be reduced by linear interpolation, for example, 256 data are reduced, and the second data are expressed asThis corresponds to a sampling frequency of 8.53Hz, and the accuracy for respiratory monitoring is completely sufficient, and the calculation speed can be optimized. If the second data is directly generated into the energy spectrogram, spectrum leakage occurs, so the following steps are needed to be continuously performed.
Pass window functionProcessing the second data and converting all trigonometric functions therein into a sinusoidal function +.>Third data are obtained. Wherein x is the number of data contained in the second data, ">。
This step requires first adding a window function to the second data SpTo do so, the embodiment of the present invention is not limited to a specific value of the window function, and as an example, if the second data includes 256 pieces of data in total, the window function may be set as:
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and then, a butterfly algorithm can be adopted, so that the calculated amount is reduced.
In the calculation process, the sine and cosine trigonometric functions are converted into sine functionsAnd the value is->。
And calculating the numerical value of the third data through a preset data calculation strategy, and finally generating an energy spectrogram according to the third data.
The data calculation strategy of the embodiment of the invention can be as follows: and pre-storing a corresponding relation table of angles and sine function values in the singlechip, and calculating data of the third data through the query list. Or alternatively, the first and second heat exchangers may be,
the data calculation policy of the present embodiment includes:
to be used forEstablishing a sine function array for one division>；And->。
By way of example, the present embodiment takes N as 360, thenCorresponding to the obtained sine function array +.>The array is composed of sine function values corresponding to angles.
To be used forEstablishing a cosine function array for a division>。
By way of example, assuming the value of M of the present embodiment is 256, then the cosine function arrayThe array is composed of cosine function values corresponding to angles.
By passing throughAnd calculating the value of the third data.
Wherein,，/>is the angle corresponding to the value in the sine function array AL, and +.>；/>Is the angle corresponding to the value in the cosine function array DL, and +.>The method comprises the steps of carrying out a first treatment on the surface of the I.e. < ->Is closest to->Is not greater than +.>. Due toAnd->Has small value, so->Is about equal to>The specific value of the third data can be finally calculated by the above relation.
The sine function array AL and the cosine function array DL can be preset and stored, and the corresponding values can be directly queried in the list during calculation. Specifically, in step S104 of the foregoing embodiment, the embodiment of the present invention: before the first data is processed according to the preset filtering processing strategy, the method further comprises the following steps:
in the first data, a difference between adjacent maximum values and minimum values is calculated.
And deleting the wave crest-wave trough section data of which the difference between the adjacent maximum value and the adjacent minimum value is outside the preset difference value interval, and generating new first data according to the residual data.
Through this embodiment, the data with the excessively large difference between the maximum value and the minimum value can be deleted, and the preset difference interval can be correspondingly set according to the user condition, for example, the value is set to be 30mm, and when the difference between the adjacent maximum value and the adjacent minimum value is greater than 30mm, the fact that the human body is excessively large in action is indicated, so that the detected distance data is affected. The segment of data is removed, and because the embodiment of the invention adopts non-interval sampling and the sampled data is enough, the loss of partial data does not have larger influence.
Specifically, the data processing policy of the embodiment of the present invention further includes:
judging whether the distance data has the condition that the distance is unchanged;
if yes, generating state information that the user is not at the post.
Since human life is in conscious or unconscious state, when the distance data within a continuous period of time is found to have no change or a very small change value, the keyboard controller 30 in the embodiment of the invention processes the distance data, for example, the change in the distance data for 60 seconds is less than 0.1mm or the distance data is always greater than 40cm, the user is not on duty, and at this time, the state information of the user not on duty is generated, and a program can be set to temporarily stop the detection of the millimeter wave sensor 20, and the operation is continued after the set time. Or the distance data of millimeter wave sensor 20 is analyzed continuously to judge the time length of the user 'on duty' and 'off duty' so as to further know the working condition of the staff.
Specifically, the present invention further includes an embodiment, based on the above embodiment, a fingerprint module 40 embedded on a key in the keyboard body 10, as shown in fig. 5, where the fingerprint module 40 is electrically connected to the keyboard controller 30; the fingerprint module 40 is used for acquiring fingerprint information of a human body; the keyboard controller 30 is used for pre-storing computer user information, matching the fingerprint information with the computer user information, and logging in the computer system after the matching is passed; the keyboard controller 30 is further used for classifying and storing the physiological indexes according to the computer user information, and counting the working time of the user according to the state information that the user is not in the post.
The fingerprint module 40 of the embodiment of the invention can be used for verifying the identity of a user and establishing association with a computer user, for example, when the computer is in a sleep or restarting state and can enter a computer management interface only by inputting a startup password, the user only needs to place a finger at the position of the fingerprint module 40, after the keyboard controller 30 successfully matches fingerprint information with computer user information, the computer management interface can be directly started without inputting a password by the user, so that quick operation is realized, and in addition, the management of checking card and attendance can be combined, and the card-checking on duty and the off duty can be realized through fingerprint identification. Secondly, the keyboard controller 30 according to the embodiment of the present invention stores the physiological indexes of the corresponding user according to the computer user information, so as to facilitate further analysis and statistics. The keyboard controller 30 of the present embodiment can also count the working time of the user according to the status information that the user is not in the post, and prompt the employee to complete the work with high efficiency.
In this embodiment, the fingerprint module 40 is embedded in the key of the keyboard body 10, which key is not specifically selected in this embodiment, and preferably, the fingerprint module 40 is installed on the F key and/or the J key, so as to conform to the comfort level of the ordinary person in a quiet state.
The keyboard provided by the embodiment of the invention monitors the physiological index of the user, so that the user is prompted under the condition of meeting the preset alarm, for example, the breathing frequency of the user exceeds 50% of the normal frequency, at the moment, the user is likely to have the condition of discomfort, the alarm is prompted, surrounding staff can find out in time conveniently, the time for taking the job is mastered, the detection and the alarm of the heart rate are similar, and the description is omitted.
The invention also includes a computer system, as shown in fig. 6, which includes a computer 1, a keyboard 2 and a mouse 3, wherein the keyboard 2 and the mouse 3 are all connected with the computer 1 in a communication way; the keyboard 2 is the keyboard of the above embodiment, and the specific structure and functions of the keyboard are not described herein, and can be directly understood in conjunction with the foregoing embodiment.
The intelligent keyboard and the computer system capable of monitoring the physiological indexes of the user comprise a keyboard main body and a millimeter wave sensor arranged on the keyboard main body, wherein the millimeter wave sensor is electrically connected with a keyboard controller in the keyboard main body; the millimeter wave sensor is used for detecting distance data between the millimeter wave sensor and a human body; the keyboard controller is used for processing the distance data according to a preset data processing strategy to obtain the physiological index of the human body; the data processing strategy comprises the following steps: acquiring distance data of a preset first duration; calculating a distance average value according to the distance data; calculating first data according to the distance data and the distance average value, wherein the first data is S=dat-mean (dat); processing the first data according to a preset filtering processing strategy to obtain respiratory waves and heart rate waves of a user; and obtaining the physiological index of the human body according to the maximum value interval in the respiratory wave and the heart rate wave. The invention realizes the monitoring of the physiological index of the user, adopts passive measurement, does not influence the working efficiency of the user, performs filtering operation in the specific data processing process, further ensures the accuracy of the monitoring result and improves the use feeling of the user.
The invention has been further described with reference to specific embodiments, but it should be understood that the detailed description is not to be construed as limiting the spirit and scope of the invention, but rather as providing those skilled in the art with the benefit of this disclosure with the benefit of their various modifications to the described embodiments.
Claims (7)
1. The intelligent keyboard capable of monitoring the physiological indexes of the user is characterized by comprising a keyboard main body and a millimeter wave sensor arranged on the keyboard main body, wherein the millimeter wave sensor is electrically connected with a keyboard controller in the keyboard main body; wherein,
the millimeter wave sensor is used for detecting distance data between the millimeter wave sensor and a human body; the keyboard controller is used for processing the distance data according to a preset data processing strategy to obtain the physiological index of the human body;
the data processing strategy comprises the following steps:
acquiring distance data of a preset first duration;
calculating a distance average value according to the distance data;
calculating first data according to the distance data and the distance average value, wherein the first data is S=dat-mean (dat); s is the first data, dat is the distance data, mean (dat) is the distance average;
processing the first data according to a preset filtering processing strategy to obtain respiratory waves and heart rate waves of a user;
obtaining physiological indexes of a human body according to the maximum value interval in the respiratory wave and the heart rate wave;
the filtering strategy comprises the following steps:
filtering the first data through a preset adaptive filter to obtain a first respiratory frequency FH;
calculating a second respiratory rate FL through the first respiratory rate FH and a preset first coefficient;
performing low-pass filtering on the first data through the second respiratory frequency FL to obtain the respiratory wave;
calculating the difference value between the first data and the respiratory wave to obtain the heart rate wave;
before the first data is processed according to the preset filtering processing strategy, the method further comprises the following steps:
generating an energy spectrogram according to the first data;
deleting energy spectrum with energy value outside the preset energy interval in the energy spectrum map, and generating new first data according to the residual energy spectrum;
wherein generating an energy spectrum from the first data comprises:
simplifying the first data into second data through linear interpolation;
through window function w= [ W1, W2, W3, … … Wx]Processing the second data and converting all trigonometric functions in the second data into sine functionsObtaining third data; wherein x is the number of data contained in the second data,；
calculating the numerical value of the third data through a preset data calculation strategy;
generating an energy spectrogram according to the third data;
the data calculation strategy comprises the following steps:
to be used forEstablishing a sine function array for one division>；N is more than or equal to x;
to be used forM establishes the cosine function array for one division>；
By passing throughCalculating a value of the third data; wherein (1)>，/>Is the angle corresponding to the value in the sine function array AL, and +.>；/>Is the angle corresponding to the value in the cosine function array DL, and +.>；/>。
2. The smart keyboard of claim 1, wherein calculating the second breathing frequency FL from the first breathing frequency FH and a predetermined first coefficient comprises:
and calculating the product of the first coefficient and the first respiratory frequency FH, and rounding the set bit number to obtain the second respiratory frequency FL.
3. The smart keyboard of claim 1, wherein prior to processing the first data according to a predetermined filtering strategy, further comprising:
calculating the difference between adjacent maximum values and minimum values in the first data;
and deleting the wave crest-wave trough section data of which the difference between the adjacent maximum value and the adjacent minimum value is outside the preset difference value interval, and generating new first data according to the residual data.
4. The smart keyboard for monitoring physiological indicators of a user of claim 1, wherein said data processing strategy further comprises:
judging whether the distance data has the condition that the distance is unchanged or not;
if yes, generating state information that the user is not at the post.
5. The intelligent keyboard capable of monitoring physiological indexes of a user according to claim 1, further comprising a fingerprint module embedded on keys in the keyboard main body, wherein the fingerprint module is electrically connected with the keyboard controller;
the fingerprint module is used for acquiring fingerprint information of a human body;
the keyboard controller is used for pre-storing computer user information, matching the fingerprint information with the computer user information, and logging in a computer system after the matching is passed;
the keyboard controller is also used for classifying and storing the physiological indexes according to the computer user information and counting the working time of the user according to the state information that the user is not in the post.
6. The intelligent keyboard for monitoring physiological indexes of a user according to claim 1, wherein the millimeter wave sensor is mounted on a side of the keyboard body close to a human body side.
7. A computer system, characterized in that the computer system comprises a computer, a keyboard and a mouse, wherein the keyboard and the mouse are all in communication connection with the computer; the keyboard is the keyboard of any one of claims 1 to 6.
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