CN115420406A - Bad sitting posture and sedentary recognition system based on array type film pressure sensor - Google Patents
Bad sitting posture and sedentary recognition system based on array type film pressure sensor Download PDFInfo
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- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L1/00—Measuring force or stress, in general
- G01L1/18—Measuring force or stress, in general using properties of piezo-resistive materials, i.e. materials of which the ohmic resistance varies according to changes in magnitude or direction of force applied to the material
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Abstract
The invention discloses a bad sitting posture and long sitting posture identification system based on an array type film pressure sensor, which relates to the technical field of sitting posture identification and comprises an array type film pressure sensor, a piezoelectric conversion acquisition module, a low-power Bluetooth method for distinguishing current user entity and a sitting posture acquisition and processing flow; the bad sitting posture and sedentary recognition system based on the array type film pressure sensor can be embedded into a flexible support of a seat by using the flexible array type film pressure sensor, and is comfortable in experience and simple in application; the acquisition module acquires pressure data by using the in-phase proportion operational amplifier circuit, is easy to realize, avoids energy consumption and cost of using a negative power supply, and can control acquisition precision by adjusting a resistor and a reference voltage; when the whole array is enlarged, the measurement of the array in larger scale can be realized by only increasing the number of the CD4066 and the integrated operational amplifier.
Description
Technical Field
The invention relates to the technical field of sitting posture identification, in particular to an identification system for bad sitting posture and long sitting based on an array type film pressure sensor.
Background
Prolonged sitting and poor sitting posture are the important causes of physiological diseases of cervical vertebra, lumbar vertebra, etc. Therefore, simple and easy sitting posture identification and bad sitting posture reminding intelligent devices become important research contents in the modern life and health field. Data collected from national health and nutrition surveys in 2003-2004 indicate that sitting office and school staff can sit for an average of up to 7.7 hours a day, and white-collar people can sit for up to ten hours a day. Under the current working and living style, office workers and students are typical sedentary people, and most people cannot keep good sitting postures and are used to humpback, bending waist and lifting legs. When people bend over a table or study, and face a computer with a head lowered, the cervical vertebra is in a bent position for a long time, so that not only can the cervical vertebra deform and the lumbar vertebra strain be caused, but also the neck and the waist muscles are in a non-coordinated stress state for a long time, and the cervical and lumbar diseases are very easy to be induced. Therefore, the market is urgently needed to develop and produce an intelligent system capable of monitoring the sitting posture and the long-time sitting time of the user in real time and reminding the user.
Chinese patent CN108898805A discloses a sitting posture reminding device and system, wherein the sitting posture reminding device comprises a sitting posture collecting module, a microprocessor, an alarm module, a supporting component and a clamping part; chinese patent CN113384266A discloses an intelligent sitting posture monitoring and analyzing system and method, and provides a set of method for simply analyzing a sitting posture to incline left and right by using a regional pressure ratio and uploading data to a server platform to realize reminding. The invention patent does not relate to the technology of adjusting the reminding time according to the user behavior, does not relate to the technical content of how to distinguish the sitting person entity, does not make innovation on the piezoelectric conversion acquisition module, and does not solve the problem of negative power supply.
Therefore, to the not enough of prior art, consider simultaneously intelligent system's ease for use, aesthetic property (do not additionally occupy too much chair space), robustness, accuracy, while wireless nature and low-power consumption, can reduce system module to the demand of hardware architecture effectively, this intelligent system can reach simultaneously and alleviate user's burden, avoid repetition, meaningless warning, and when making the system hardware module volume of installing in the seat reduced, further improve intelligent system real-time detection's accuracy and efficiency, therefore we propose a bad position of sitting and sedentary identification system based on array film pressure sensor.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a bad sitting posture and sedentary sitting recognition system based on an array type film pressure sensor, which solves the problems in the background technology.
In order to achieve the purpose, the invention is realized by the following technical scheme: a bad sitting posture and long sitting posture identification system based on an array type thin film pressure sensor comprises the array type thin film pressure sensor, a piezoelectric conversion acquisition module, a low-power consumption Bluetooth method for distinguishing a current user entity and a sitting posture acquisition and processing flow;
the array type film pressure sensor consists of a click module, a pressure-voltage conversion circuit and an on-chip single chip microcomputer.
Optionally, the method for distinguishing the current user entity by using bluetooth low energy includes the following steps:
s1: the system can be bound with low-power consumption Bluetooth equipment (such as a mobile phone and a bracelet) set by a user;
s2: when the system recognizes that a person sits on the seat, the system triggers the low-power Bluetooth to scan Bluetooth signals and tries to match the bound low-power Bluetooth devices, and if the signal intensity is greater than a set threshold value, long connection is established;
s3: in the whole sitting process, the system sends a heartbeat according to a cycle of once every 60 seconds, and if the Bluetooth signal is stable in a certain interval, a user entity in sitting is preliminarily judged according to binding data;
s4: and according to the preliminarily judged user entity, taking out historical sitting data of the user entity, analyzing key indexes such as pressure contour, estimated weight and the like, comparing the information with the currently measured information, and if the information accords with the currently measured information, determining that the currently sitting user is the marked user entity.
Optionally, the sitting posture collecting and processing flow includes the following steps:
step 1: the method comprises the steps that a microcontroller (an on-chip single chip microcomputer mentioned in an acquisition module) controls a logic multiplexer to rapidly scan the point positions of an array type thin film pressure sensor in a row-column mode to obtain multiple frames of 32-by-32 point position pressure data;
step 2: the microcontroller simply and averagely filters each point of continuous multi-frame data;
and step 3: the microcontroller transmits the primarily filtered sitting posture identification data to the upper computer by using the SPI or the serial port in a self-defined protocol format;
and 4, step 4: the upper computer (the upper computer is the most main control module, is equivalent to a main controller and controls the operation logic of the whole device) receives the sitting posture data from the microcontroller by taking 20 seconds as a period, and identifies the current sitting posture or outputs the sitting state of no person on the seat by using a sitting posture analysis algorithm;
and 5: the upper computer records the sitting posture state of the user recognized in a certain time period, and calculates the time length for the user to keep a certain sitting posture and the total sitting time length of the user according to the sitting posture state;
step 6: the upper computer distinguishes the user entity sitting at present by using a low-power Bluetooth technology;
and 7: the upper computer analyzes whether the user keeps the poor sitting posture for too long time or sits for too long time by using a behavior analysis algorithm on the data;
and 8: if the user actively takes a rest, the reminding threshold value of the system is changed, and repeated rest in a short time is avoided;
and step 9: when the time of sitting for a long time or the time of keeping bad sitting posture reaches a threshold value, the upper computer reminds the user to stand up for rest or change the sitting posture by triggering modes such as linear motor vibration, voice reminding and the like, and pushes a notice to the cloud platform by using the Wi-Fi communication assembly.
Optionally, the point selection module starts a/D conversion after the point to be measured is connected to the acquisition circuit and is stable, records five conversion values for the point to be measured in one acquisition, and performs mean filtering on the point to be measured (averaging the five acquisition results), and stores the filtering result as the current measurement value in the several groups and performs the following calculation:
wherein D is O For outputting data after normalization, D i Is the filtered raw data.
Optionally, after the click module finishes one-time acquisition, the click module sends data to the upper computer, and if the acquisition is not finished, the current state is returned; the on-chip single chip microcomputer is communicated with the upper computer by using a self-defined communication protocol, so that the communication quality, the stability and the expansibility are improved; the communication format is as follows: 1. the content is not less than one frame header of a special symbol; 2. the content is a sensor data matrix data packet of 32 point locations of a certain row; 3. the content is the frame end which is different from the frame head and is not less than one special symbol.
Optionally, the on-chip microcomputer uses GD32F103RCT6 to control the point selection module (also a part of the acquisition module), and acquires each point of the sensor (the analog-to-digital data of the pressure-voltage conversion circuit is acquired as digital information, i.e., ADC, that can be recognized by the microcomputer) and communicates with the upper computer.
The invention provides an identification system for bad sitting posture and long sitting based on an array type film pressure sensor, which has the following beneficial effects:
1. according to the bad sitting posture and long-time sitting recognition system based on the array type film pressure sensors, the flexible array type film pressure sensors are used and can be embedded into the flexible supports of the seat, the experience is comfortable, and the application is simple; the acquisition module acquires pressure data by using the in-phase proportion operational amplifier circuit, is easy to realize, avoids energy consumption and cost of using a negative power supply, and can control acquisition precision by adjusting a resistor and a reference voltage; when the whole array is enlarged, the measurement of the array with larger scale can be realized only by increasing the number of the CD4066 and the integrated operational amplifier.
2. According to the bad sitting posture and long sitting recognition system based on the array type film pressure sensor, the user who sits at present is distinguished by using the Bluetooth with low power consumption and combining with the user characteristics, the situation that data is wrongly counted when other people use the system is avoided, the sitting posture and the sitting time of the user can be monitored in real time, the user is only reminded to have a rest or correct the sitting posture in real time by combining with a user behavior analysis algorithm, and repeated reminding is avoided; the system is helpful for users to develop a habit of having a rest in due time and prevent cervical vertebra and lumbar vertebra diseases caused by poor sitting posture.
Drawings
FIG. 1 is a diagram of the scanning procedure of the single-chip microcomputer control pointing module on the sensor;
FIG. 2 is a diagram of a method for distinguishing current user entities using Bluetooth Low energy in accordance with the present invention;
FIG. 3 is a flow chart of the sitting posture collection and processing of the present invention;
FIG. 4 is a complete circuit diagram of the piezoelectric transducing acquisition module of the present invention;
FIG. 5 is an equivalent circuit diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1 to 3, the present invention provides a technical solution: a bad sitting posture and long sitting posture identification system based on an array type film pressure sensor comprises the array type film pressure sensor, a piezoelectric conversion acquisition module, a low-power Bluetooth method for distinguishing a current user entity and a sitting posture acquisition and processing flow;
the piezoelectric conversion acquisition module consists of a click module, a pressure-voltage conversion circuit and an on-chip singlechip.
The array type film pressure sensor is formed by arranging and combining single pressure sensing unit coatings 1 into 32 x 32, the film pressure sensor is connected with the piezoelectric conversion acquisition module through an FPC (flexible printed circuit), and the master control upper computer is connected with the piezoelectric conversion acquisition module through an SPI (serial peripheral interface) bus.
The sensor is installed above the chair supporting board and below the soft supporting object (cushion) of the chair. The sensor is used for sensing pressure information of each point and converting the pressure information into an electric signal. Meanwhile, according to the relationship between the pressure applied to a single point position of the sensor and the resistance value, when the single point position sensor is applied with pressure, the resistance is reduced along with the increase of the pressure, the piezoresistive property of the sensor is expressed as that the resistance and the pressure form a power function relationship, and the following expression can be obtained:
the relationship is obtained within the pressure action range of 0-5 KG, wherein F is the pressure applied to a single point location and has the unit of KG, and R is the resistance value of the single point location and has the unit of K omega.
The piezoelectric conversion acquisition module is divided into three main parts, namely a click module, a pressure-voltage conversion circuit and an on-chip singlechip. The piezoelectric conversion acquisition module is integrated into a PCB board and is arranged below a chair supporting board, the module is used for detecting, recording and sending pressure values of all points of the sensor, and the complete circuit diagram design of the module is shown in figure 4.
The core of the point selection module is that a digital logic circuit is used for controlling each point position of the film pressure sensor to be accessed into the acquisition circuit in a time-sharing way, and the core of the point position time-sharing access of each point position is the control of row and column gating (so-called row and column gating means that the sensor is a 32 x 32 matrix, each point position is a piezoresistor, and the multi-point position acquisition problem is transferred to the way that a certain row or column is selected at one time according to a row and column mode, so that the certain row or column is accessed into the conversion circuit, and pressure data is converted into digital information, wherein the row and column gating is controlled by using the following method:
1. the two-out-of-the-road selector adopts CD4053, eighteen two-out-of-the-road selectors are arranged in the acquisition system, thirty-two-bit inputs of sixteen roads are respectively connected to the x-th row parallel line end (x =1,2, \8230; 32) of the distributed sensor, the output is connected to the input end of the acquisition circuit, and the x-th row of the sensor is connected to the acquisition circuit; the input of one path is respectively connected with the anode of the power supply and the ground of the power supply, and the output is connected with the enabling end of the multi-path selector and is used for controlling the enabling state of all the two-way or one-way selectors; one input is grounded.
2. The sixteen-out-of-one multi-path selector adopts CD4067, two paths of the sixteen-out-of-one selectors are arranged in the acquisition system, the inputs of the sixteen-out-of-one selectors are respectively connected to the y-th column parallel line end (y =1,2, \ 8230; \ 8230; 32) of the distributed sensor, the outputs of the sixteen-out-of-one selectors are connected to the power ground, and the y-th column of the distributed sensor is connected to the ground.
The pressure-voltage conversion circuit module converts the point resistance value of the access circuit into a voltage value, and the core of the circuit is that an operational amplifier is used for forming an in-phase proportion. After each point in the 32 × 32 sensor is selected by the point selection module, the point is connected to a pressure-voltage conversion acquisition circuit to form an equivalent circuit diagram as shown in fig. 5, and the calculation method is as the following points 1,2 and 3.
It is characterized in that:
1. the operational amplifier in the acquisition module used TLC2274. The chip is a double-path low-noise track-to-track operational amplifier designed and produced by TI company, and can meet the requirement of resistance-voltage conversion of the design.
2. In a single acquisition unit, V _ref For reference voltage, sig _ in is the x-th parallel line end connected to the inverting input end of the operational amplifier through the point selection module, that is, a point to be detected (a point to be detected, namely, a certain point on the thin film pressure sensor) is connected between Sig _ in and the ground, V _ OUT is output voltage of the operational amplifier, and R _ F is feedback resistance of the in-phase proportional operational circuit.
3. Analysis using in-phase proportional arithmetic circuitThe method comprises the steps that Rx is used for representing the ground resistance accessed by a Sig _ in end, and the analytical expression is
According to the expression, under the condition that the reference voltage is kept unchanged, the output voltage is proportional to the value of the reference voltage
The resistance value of a single point location is in inverse proportion to the pressure value of the point location, the output voltage is in direct proportion to the pressure value of the single point location, and the output voltage has good linearity, so that the accuracy requirement of a follow-up system is met.
Meanwhile, when the pressure of a single point is the same, the reference voltage is increased or the feedback resistance is increased, the output voltage can be increased, and the sensitivity of the acquisition system is further improved. However, the increase of the reference voltage can lead to the increase of the static output voltage of the system, so that the measuring range is shortened, and the problem can be solved by increasing the feedback resistance. Tested at V _ref When 0.8V is taken, R F A better measuring effect can be obtained by taking 200K.
The beneficial effect who adopts above-mentioned scheme is:
1. use sixteen way CD4067, realize sixteen points and insert the acquisition circuit simultaneously, can cooperate the DMA and the ADC scanning mode of singlechip, realize the collection process automation, save MCU computational resource, promote system operating efficiency.
2. The in-phase proportion operational amplifier circuit is used for collecting pressure data, the circuit design is easy to realize, and the energy consumption and the cost of using a negative power supply are avoided (even if the in-phase proportion operational amplifier circuit is used, the negative power supply can be omitted, extra loss is not needed, and extra electronic elements are not needed for conversion.
3. The SGM2202-ADJ adjustable voltage regulator is used to provide a reference voltage for the non-inverting terminal of the operational amplifier. The SGM2202 is a high voltage, high precision and high PSRR linear regulator. It is capable of providing an output current of 150 mA. The working input voltage is up to 36V. For the adjustable output version, an external resistor may be used to adjust the output voltage from 0.8V to 13.2V. The SGM2202 tunable version thus meets the requirements for a high stability 0.8V reference voltage source in the design.
The on-chip single chip microcomputer is used for controlling the point selection module (also part of the acquisition module) by adopting GD32F103RCT6, acquiring each point position of the sensor (acquiring analog-to-digital data (ADC) which is digital information capable of being identified by the single chip microcomputer) and communicating with an upper computer. The single-chip microcomputer controls the pointing module to scan the sensor in the following mode:
step 1: at the beginning of each scan, only the first one-out-of-sixteen selector is enabled, and the control column strobe is 0000, at which time the first column of the distributed sensor is connected to ground. The gating of the control row is 0, and at the moment, the even row is accessed into the acquisition circuit.
Step 2: the acquisition circuit outputs a voltage value related to the access resistance of the distributed sensor, and the voltage value is acquired by an ADC (analog to digital converter) interface of the single chip microcomputer.
And 3, step 3: and (4) controlling the row gating to be 1, accessing the odd rows into the acquisition circuit at the moment, and repeating the step (3).
And 4, step 4: and (4) controlling the column gating to add one on the original basis, judging whether the first sixteen columns are scanned completely, and if not, repeating the steps 2 and 3.
And 5: after the scanning of the first sixteen columns is completed, only a selector for sixteen selecting the second way is enabled, the control column gate is 0000, and at this time, the seventeenth column of the distributed sensor is connected to the ground. The gating of the control row is 0, and at the moment, the even row is accessed into the acquisition circuit.
Step 6: and (5) repeating the steps 3-5. And when the last sixteen rows of scanning are finished, the acquisition of the complete data of the sensor is finished once.
The point selection module starts A/D conversion after the point to be measured is connected to the acquisition circuit and is stable, five conversion values are recorded on the point to be measured in one acquisition, mean value filtering is carried out on the point to be measured (five acquisition results are averaged), the filtering result is taken as the current measurement value and is stored in a plurality of groups, and the following calculation is carried out:
wherein D is O For outputting data after normalization，D i Is the filtered raw data.
After the point selection module finishes one-time acquisition, sending data to the upper computer, and if the acquisition is not finished, returning to the current state; the on-chip single chip microcomputer and the upper computer communicate by using a self-defined communication protocol, so that the communication quality, stability and expansibility are improved; the communication format is as follows: 1. the content is not less than one frame header of a special symbol; 2. the content is a sensor data matrix data packet of 32 point locations of a certain row; 3. the content is the frame end which is different from the frame head and is not less than one special symbol.
The method for distinguishing the current user entity by the low-power Bluetooth comprises the following steps:
s1: the system can be bound with low-power consumption Bluetooth equipment (such as a mobile phone and a bracelet) set by a user;
s2: when the system recognizes that a person sits on the seat, the system triggers the low-power Bluetooth to scan Bluetooth signals and tries to match the bound low-power Bluetooth devices, and if the signal intensity is greater than a set threshold value, long connection is established;
s3: in the whole sitting process, the system sends a heartbeat according to a cycle of once every 60 seconds, and if the Bluetooth signal is stable in a certain interval, a user entity in sitting is preliminarily judged according to binding data;
s4: and taking out historical sitting data of the user entity according to the preliminarily judged user entity, analyzing key indexes such as pressure contour, estimated weight and the like, comparing the key indexes with the currently measured information, and if the key indexes are consistent with the currently measured information, determining that the currently sitting user is the marked user entity.
The sitting posture collection and processing flow comprises the following steps:
step 1: the method comprises the steps that a microcontroller (an on-chip single chip microcomputer mentioned in an acquisition module) controls a logic multiplexer to rapidly scan the point positions of an array type thin film pressure sensor in a row-column mode to obtain multiple frames of 32-by-32 point position pressure data;
step 2: the microcontroller simply and averagely filters each point of continuous multi-frame data;
and step 3: the microcontroller transmits the primarily filtered sitting posture identification data to the upper computer in the form of the self-defined protocol of claim 10 by using the SPI or the serial port;
and 4, step 4: the upper computer (the upper computer is the most main control module, is equivalent to a main controller and controls the operation logic of the whole device) receives the sitting posture data from the microcontroller by taking 20 seconds as a period, and identifies the current sitting posture or outputs the sitting state of no person on the seat by using a sitting posture analysis algorithm;
and 5: the upper computer records the sitting posture state recognized by the user in a certain time period, and calculates the time length for keeping the user in the certain sitting posture and the total sitting time length of the user according to the sitting posture state;
and 6: the upper computer distinguishes the user entity sitting at present by using a low-power Bluetooth technology;
and 7: the upper computer analyzes whether the user keeps the poor sitting posture for too long time or sits for too long time by using a behavior analysis algorithm on the data;
and 8: if the user actively takes a rest, the reminding threshold value of the system is changed, and repeated rest in a short time is avoided;
and step 9: when the time of sitting for a long time or the time of keeping bad sitting posture reaches a threshold value, the upper computer reminds the user to stand up for rest or change the sitting posture by triggering modes such as linear motor vibration, voice reminding and the like, and pushes a notice to the cloud platform by using the Wi-Fi communication assembly.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (6)
1. The utility model provides a bad position of sitting and sedentary identification system based on array film pressure sensor which characterized in that: the method comprises an array type thin film pressure sensor, a piezoelectric conversion acquisition module, a low-power consumption Bluetooth method for distinguishing a current user entity and a sitting posture acquisition and processing flow;
the array type film pressure sensor consists of a click module, a pressure-voltage conversion circuit and an on-chip single chip microcomputer.
2. The system of claim 1, wherein the array-type thin film pressure sensor is used for recognizing bad sitting posture and long sitting posture, and the system comprises: the method for distinguishing the current user entity by the low-power Bluetooth comprises the following steps:
s1: the system can be bound with low-power consumption Bluetooth equipment (such as a mobile phone and a bracelet) set by a user;
s2: when the system identifies that a person sits on the seat, the Bluetooth low energy device is triggered to scan Bluetooth signals, bound Bluetooth low energy devices are tried to be matched, and if the signal intensity is larger than a set threshold value, long connection is constructed;
s3: in the whole sitting process, the system sends a heartbeat according to a cycle of once every 60 seconds, and if the Bluetooth signal is stable in a certain interval, the user entity sitting is preliminarily judged according to the binding data;
s4: and according to the preliminarily judged user entity, taking out historical sitting data of the user entity, analyzing key indexes such as pressure contour, estimated weight and the like, comparing the information with the currently measured information, and if the information accords with the currently measured information, determining that the currently sitting user is the marked user entity.
3. The system of claim 1, wherein the array-type thin film pressure sensor is used for recognizing bad sitting posture and long sitting posture, and the system comprises: the sitting posture collection and processing flow comprises the following steps:
step 1: the logic multiplexer is controlled by a microcontroller (an on-chip singlechip mentioned in an acquisition module) to rapidly scan the point positions of the array type film pressure sensor in a row-column manner to obtain multi-frame 32 x 32 point position pressure data;
and 2, step: the microcontroller simply and averagely filters each point of continuous multi-frame data;
and step 3: the microcontroller transmits the primarily filtered sitting posture identification data to the upper computer by using the SPI or the serial port in a self-defined protocol format;
and 4, step 4: the upper computer (the upper computer is the most main control module, is equivalent to a main controller and controls the operation logic of the whole device) receives the sitting posture data from the microcontroller by taking 20 seconds as a period, and identifies the current sitting posture or outputs the sitting state of no person on the seat by using a sitting posture analysis algorithm;
and 5: the upper computer records the sitting posture state recognized by the user in a certain time period, and calculates the time length for keeping the user in the certain sitting posture and the total sitting time length of the user according to the sitting posture state;
step 6: the upper computer distinguishes the user entity sitting at present by using a low-power Bluetooth technology;
and 7: the upper computer analyzes whether the user keeps the poor sitting posture for too long time or sits for too long time by using a behavior analysis algorithm according to the data;
and 8: if the user takes a rest actively, the reminding threshold value of the system is changed, so that repeated rest in a short time is avoided;
and step 9: when the time of sitting for a long time or the time of keeping bad sitting posture reaches a threshold value, the upper computer reminds the user to stand up for rest or change the sitting posture by triggering modes such as linear motor vibration, voice reminding and the like, and pushes a notice to the cloud platform by using the Wi-Fi communication assembly.
4. The system of claim 1, wherein the array-type thin film pressure sensor comprises: the point selection module starts A/D conversion after the point to be measured is connected to the acquisition circuit and is stable, five conversion values are recorded on the point to be measured in one acquisition, mean value filtering is carried out on the point to be measured (five acquisition results are averaged), the filtering result is taken as the current measurement value and is stored in a plurality of groups, and the following calculation is carried out:
wherein D is o For outputting data after normalization, D i Is the filtered raw data.
5. The system of claim 1, wherein the array-type thin film pressure sensor is used for recognizing bad sitting posture and long sitting posture, and the system comprises: the click module sends data to the upper computer after completing one-time acquisition, and returns to the current state if the acquisition is not completed; the on-chip single chip microcomputer and the upper computer communicate by using a self-defined communication protocol, so that the communication quality, stability and expansibility are improved; the communication format is as follows: 1. the content is not less than one frame header of a special symbol; 2. the content is a sensor data matrix data packet of 32 point locations of a certain row; 3. the content is the frame end which is different from the frame head and is not less than one special symbol.
6. The system of claim 1, wherein the array-type thin film pressure sensor comprises: the on-chip single chip microcomputer is used for controlling the point selection module (also part of the acquisition module) by adopting GD32F103RCT6, acquiring each point position of the sensor (acquiring analog-to-digital data (ADC) which is digital information capable of being identified by the single chip microcomputer) and communicating with an upper computer.
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