CN113138007B - Body weight and step counting detection method and subminiature body weight data intelligent processing board - Google Patents

Body weight and step counting detection method and subminiature body weight data intelligent processing board Download PDF

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CN113138007B
CN113138007B CN201910868051.9A CN201910868051A CN113138007B CN 113138007 B CN113138007 B CN 113138007B CN 201910868051 A CN201910868051 A CN 201910868051A CN 113138007 B CN113138007 B CN 113138007B
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value
pressure sensing
time
weight
plantar pressure
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CN113138007A (en
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阳建华
何燕
赵玉仁
杨亚妮
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Sichuan Yingtali Technology Co ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01G—WEIGHING
    • G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
    • G01G19/44—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C22/00—Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers, using pedometers
    • G01C22/006—Pedometers
    • G—PHYSICS
    • G08—SIGNALLING
    • G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04J—MULTIPLEX COMMUNICATION
    • H04J3/00—Time-division multiplex systems
    • H04J3/02—Details
    • H04J3/06—Synchronising arrangements
    • H04J3/0635—Clock or time synchronisation in a network
    • H04J3/0638—Clock or time synchronisation among nodes; Internode synchronisation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L61/00—Network arrangements, protocols or services for addressing or naming
    • H04L61/30—Managing network names, e.g. use of aliases or nicknames
    • H04L61/3015—Name registration, generation or assignment
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/10—Flow control between communication endpoints
    • H04W28/14—Flow control between communication endpoints using intermediate storage
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W56/00—Synchronisation arrangements
    • H04W56/001—Synchronization between nodes
    • H04W56/0015—Synchronization between nodes one node acting as a reference for the others

Abstract

The invention discloses a weight and step counting detection method and a subminiature weight data intelligent processing board, wherein the method comprises the following steps: continuously responding to the plantar pressure sensing value, analyzing the change characteristic of the value, and finishing step counting according to the change condition of the value; obtaining sole pressure sensing values of a period of time, preprocessing and caching single sole pressure sensing values through a preset value processing rule, identifying the sole pressure sensing values in the period of time by a time sequence, then judging the stability of the time sequence values, and calculating a human body weight value according to a stability judgment result. The subminiature weight data intelligent processing PCB board is provided with units such as a central control unit, a memory, a foot pressure sensing unit and the like which are connected, wherein the central control unit is provided with programs such as a weight value recognition algorithm, a step counting detection algorithm, product user code formation, calendar automatic calibration and the like in a programming mode.

Description

Weight and step counting detection method and subminiature weight data intelligent processing board
Technical Field
The invention relates to the technical field of wearable weight data intelligent processing, in particular to a weight and step counting detection method and a subminiature weight data intelligent processing board capable of obtaining high-precision and reliable human body weight data and walking step data in real time.
Background
The weight is taken as important data of health measurement, more and more people pay attention to the weight, various weighing scales are countless on the market at present, and related patents are related to weight shoes, but most of weight shoes only stay on weight data measurement, basically belong to static weighing data, accuracy and errors of actual weight data are not researched, functions are single, data obtained by using a dynamic wearable pressure sensing device are not researched for actual step counting, and intelligent processing of the obtained dynamic weight data is not provided. The existing step counting method using a portable mobile phone mostly adopts a built-in motion program of the mobile phone for detection, the data correction error is large, the error is larger than the real motion step number, and the actual step number is not reflected in many cases. Some existing step counting devices and step counting methods based on image processing also have the defects of low precision, large volume and high cost. In addition, the existing body weight detector is static and active, is used in many public places, and does not perform personalized health data management such as body weight even if the body weight is dynamically detected.
Disclosure of Invention
In order to solve the defects of the prior art, the invention provides a weight and step counting detection method and a subminiature weight data intelligent processing board capable of being placed in a mass wearable device, which solves the problem that the real weight cannot be determined in real time by dynamic plantar pressure sensing data during walking, solves the problem that the real step counting data is not carried out by using variable weighing data, and solves the problem that the data recording of mass personalized real-time automatic weight data storage and management and healthy step counting is not carried out.
The invention is one of the important parts of the technology of patent application No. 201810949013.1. The technical scheme adopted by the invention for realizing the technical effects is as follows:
the invention provides a weight and step counting detection method and a subminiature weight data intelligent processing board capable of being placed in a mass wearable device. The subminiature weight data intelligent processing board comprises a PCB board, and a central control unit, a storage unit, an analog-to-digital conversion unit and a plantar pressure sensing unit (comprising an amplifier) which are connected with each other and arranged on the PCB board, wherein the plantar pressure sensing unit is connected with the central control unit through the analog-to-digital conversion unit, and the placement modes of the plantar pressure sensing unit are plate type and separated plate type. The plate type, namely the sole pressure sensing unit is integrated on the PCB, and the plate type is separated, namely the sole pressure sensing unit is not arranged on the PCB and is connected with the PCB through a wire. The central control unit is programmed with weight value recognition algorithm, step counting detection algorithm, product user code formation, calendar automatic calibration and other programs.
The weight and step counting detection method comprises a step S1 and a step S2, wherein a weight value identification algorithm program is shown in the step S1, and a step counting detection algorithm program is shown in the step S2.
S1, obtaining a sole pressure sensing numerical value of a period of time by computing hardware, preprocessing and storing a single sole pressure sensing numerical value through a preset numerical rule, identifying the sole pressure sensing numerical value in the period of time by using a time sequence numerical value, judging the stability of the time sequence numerical value, and computing a human body weight value according to a stability judgment result.
And S2, synchronously with the step S1, continuously sensing the change of the plantar pressure sensing numerical value to obtain a numerical value of the pressure change state, analyzing and finishing step counting according to the change condition of the numerical value.
The step S1 specifically includes the following steps:
s101, presetting plantar pressure acquisition time T, and acquiring a plantar pressure sensing value range: low value (DL) 1 ) And high value (DH) 1 )；
S102, judging a plantar pressure sensing value D n Whether the value is within a preset value acquisition range, namely: DL 1 ≤D n ≤DH 1 When the value is in the preset range, the plantar pressure sensing value D is acquired and stored n Until the acquisition time T is finished, acquiring n sole pressure sensing values;
s103, presetting a stability judgment entropy Q range, wherein the setting range of the entropy Q is as follows: -5. Ltoreq. Q.ltoreq.5; and (3) carrying out stability identification processing on the time series numerical values acquired and stored in the time T, namely: q. q.s n-1 ＝D n -D n-1 ，(n>1)；
Judging q n-1 Whether it is in the range of entropy Q, if it is, K is used n And identifying the two adjacent groups of numerical values, and sequentially judging the numerical values of the whole time sequence.
S104, counting the number N of two adjacent numerical values in an entropy range, judging the corresponding relation between N and time sequence numerical values, and defining the stability of the time sequence; the relationship is as follows: if K is n N is equal to N-1, i.e. N = N-1, defining the time series as stable sequence, otherwise as unstable sequence;
s105, when the plantar pressure time sequence numerical values collected in the collection time T are a stable numerical value sequence, calculating the average value of the time sequence numerical values as the weight value W of the human body in the time period T T The formula is as follows:
Figure BDA0002201919470000031
and S106, repeating the five steps S101-S105.
The step S2 specifically includes the following steps:
s201, arranging a sole pressure sensing unit at a position, below a calcaneus of a foot of a human body, in a shoe;
s202, presetting a low value (DL), a high value (DH) and a minimum step time T p Pressure regression value D q Defining a pressure regression value D q At the body weight value W T Corresponding pressure sensing value D T Range of (1), D q The range is as follows: d T -5≤D q ≤D T +5；
S203, acquiring a pressure sensing unit numerical value D n Judgment of D n Whether it is within the acquisition range, i.e.: DL is less than or equal to D n DH, when D n In the collecting range, collecting the sub-plantar pressure sensing value, otherwise, not collecting the sub-plantar pressure sensing value;
s204, calculating D n And the pressure regression value D q And the difference value is recorded as S, namely: s = D n -D q If S is<0, marking the sub-plantar pressure sensing value as a reduction type; if S>0, marking the sub-plantar pressure sensing value as growth type; if S =0, marking the plantar pressure sensing value as a regression type;
s205, judging the relation between the times N of the regression type plantar pressure sensing numerical values and the decision value M, namely whether the times of S =0 is equal to the decision value M or not, defining the decision value M =3, and if the times N is equal to the decision value M, recording the three plantar pressure sensing numerical values as N respectively 1 、N 2 、N 3 And the corresponding time is TN 1 、TN 2 、TN 3 Calculating TN 1 And TN 3 The difference between the two times is recorded as D, namely D = TN 1 -TN 3 When D is larger than the system preset minimum step length time T p Then, counting steps for one time; if the number of times N is not equal to the decision value M, go to step S206;
s206, repeating the five steps S201-S205.
And forming a product user code:
in order to make each user product have unique identification code, the system can make independent data management and operation for user according to identification code, for example weight and step number information. And meanwhile, secondary operations such as identity information expansion and reutilization can be performed. The solution provides a set of product user code forming scheme for solving the problem of unique identification of user identity. The product user code consists of a product inner code and an outer code.
The inner code is composed of static code and dynamic code. The static code includes long-term fixed information parameters:
(1) System firmware Version number, system _ Version.
(2) Fix the ASCII code number, the code number is: 010110010101010001001100.
the dynamic code is a unique code which is allocated to a user by a system, namely the user code, and is coded by a 32-bit numerical value, and the numerical value of the code is from 0 to 2 32 Each coded value corresponds to a user.
System_Version 010110010101010001001100 User coding
The upper diagram is the inner code forming composition in the product. The outer code is embodied on the outer mark of the product and is formed through a relation algorithm with the inner code.
Calendar auto-calibration:
the problem that RTC (real time clock) resources of a central control unit are out of work due to power failure caused by wearable reasons is solved, so that clock counting is delayed, and the year, month and time synchronization function is influenced. In order to obtain high-precision year, month and time parameters, a software solution is designed for calibrating the time parameters. Therefore, the system can collect, store and count steps of the human body weight value according to the high-precision time parameters.
The scheme depends on a platform:
(1) Mobile phone terminal application program
(2) Bluetooth communication protocol
(3) Bluetooth communication module
The scheme is specifically described as follows:
when the central control unit is powered on, the central control unit sends a time verification request to the mobile phone end application program through the Bluetooth communication module, when the mobile phone end application program receives the request, the mobile phone end time parameter is obtained, the parameter information is used as a response reply and sent to the central control unit, after the central control unit receives a new time parameter, the RTC (real time clock) resource is updated according to the time parameter, and the time calibration process is completed.
See block diagram below:
Figure BDA0002201919470000051
the time alignment flow chart is as follows:
Figure BDA0002201919470000061
the invention has the beneficial effects that: the weight and step counting detection method disclosed by the invention can obtain data obtained by physical measurement by responding the plantar pressure sensing value in real time, and can obtain high-precision and reliable human body weight data by combining a rigorously designed weight value identification algorithm and a step counting detection algorithm, wherein the step counting value reflects the real step number. The microminiature weight data intelligent processing board obtains human sole behavior data through the sole pressure sensing unit, and utilizes the central control unit to carry out data acquisition and analysis, utilizes the weight value recognition algorithm and the analysis of meter step detection algorithm to obtain the high-precision weight value of human body, realizes the meter step function according to the sole pressure change condition simultaneously, and data precision is high, and the processing board is small, can use in masses wearing shoes or need perception pressure data and the occasion of analysis in a flexible way.
Meanwhile, in order to realize real-time and identity management of weight data and step-counting data long date, a product user code and a calendar clock automatic calibration program are additionally arranged in the system, so that authenticity and accuracy of system management are ensured, and subsequent networking query management is facilitated.
Drawings
FIG. 1 is a flow chart of weight detection according to the present invention;
FIG. 2 is a flow chart of step counting detection according to the present invention;
FIG. 3 is a diagram of the position of plantar pressure sensing units (off-board) of the intelligent processing board of the invention corresponding to the feet;
FIG. 4 is a hardware block diagram of the intelligent processing board of the present invention;
FIG. 5 is a schematic diagram illustrating the variation characteristics of the pressure sensing values when the step-counting detection algorithm processes step-counting data according to the present invention;
fig. 6 is a circuit connection block diagram of the intelligent processing board of the present invention.
Detailed Description
For a further understanding of the invention, reference is made to the following description taken in conjunction with the accompanying drawings and specific examples, in which:
in the description of the present invention, it should be noted that the terms "vertical", "upper", "lower", "horizontal", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Furthermore, "first," "second," "third," and "fourth" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be further noted that, unless otherwise specifically stated or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may be, for example, fixedly connected, detachably connected, integrally connected, mechanically connected, electrically connected, directly connected, connected through an intermediate medium, or connected through the insides of two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
The embodiment of the invention provides a weight and step counting detection method and a subminiature weight data intelligent processing board capable of being placed in a wearable device. As shown in fig. 4 and 6, the subminiature weight data intelligent processing board includes a PCB board, and a central control unit, a storage unit, an analog-to-digital conversion unit and a plantar pressure sensing unit connected to the PCB board, wherein the plantar pressure sensing unit is connected to the central control unit through the analog-to-digital conversion unit. The placement modes of the plantar pressure sensing units are divided into a plate type and a separated plate type, the plantar pressure sensing units are arranged and integrated on a PCB (printed Circuit Board), the separated plate type means that the plantar pressure sensing units are not arranged on the PCB and are connected with the PCB in a wired mode, and a weight value recognition algorithm program, a step counting detection algorithm program, an automatic control and storage and other non-core management programs are written in the central control unit.
The weight and step counting detection method comprises a step S1 and a step S2, wherein a weight value identification algorithm program is shown in the following step S1, and a step counting detection algorithm program is shown in the following step S2.
S1, obtaining plantar pressure sensing numerical values of a period of time, preprocessing and storing a single plantar pressure sensing numerical value through a preset numerical value rule, identifying the plantar pressure sensing numerical value in the period of time through a time sequence, judging the stability of the time sequence numerical value, and calculating a human body weight value according to a stability judgment result;
and S2, synchronously with the step S1, continuously receiving the change of the plantar pressure sensing numerical value to obtain the numerical value of the plantar pressure change state, analyzing the numerical value change characteristic, and finishing step counting according to the numerical value change characteristic.
Further, in a preferred embodiment of the present invention, step S1 specifically includes the following steps:
s101, presetting plantar pressure acquisition time T, and acquiring a plantar pressure sensing value range: low value (DL) 1 ) And high value (DH) 1 )；
S102, judging a plantar pressure sensing value D n Whether the value is within a preset value acquisition range, namely: DL 1 ≤D n ≤DH 1 When the value is in the preset range, the plantar pressure sensing value D is acquired and stored n Until the acquisition time T is finished, acquiring n sole pressure sensing values;
s103, presetting a stability judgment entropy Q range, wherein the setting range of the entropy Q is as follows: -5. Ltoreq. Q.ltoreq.5; and (3) carrying out stability identification on the time sequence numerical values acquired and stored in the time T, namely: q. q.s n -1＝D n -D n-1 ，(n>1)；
Judging q n -1 is within the range of entropy Q, if so, K is used n Identifying the two adjacent groups of numerical values, and sequentially judging the numerical values of the whole time sequence;
s104, counting the number N of two adjacent numerical values in an entropy range, judging the corresponding relation between N and the time sequence numerical value, and defining the stability of the time sequence, wherein the relation is as follows: if K is n N is equal to N-1, i.e. N = N-1, defining the time series as stable sequence, otherwise as unstable sequence;
s105, when the plantar pressure time sequence numerical values collected in the collection time T are a stable numerical value sequence, calculating the average value of the time sequence numerical values as the weight value W of the human body in the time period T T . The formula is as follows:
Figure BDA0002201919470000101
and S106, repeating the five steps S101-S105.
When the microminiature weight data intelligent processing board is used for weight detection, the hardware system on the board runs the weight identification algorithm program. As shown in fig. 1, the program system first initializes the on-board computing hardware, and periodically receives the plantar pressure sensing values of the plantar pressure sensing unit, that is, the central control unit obtains the values within the preset plantar pressure sensing data acquisition time T to perform preprocessing, that is, the contents described in step S102 of the above weight recognition and detection method. When the value is not detected to be within the preset value range, the plantar pressure sensing value continues to be periodically received, when the value is identified to be within the preset value range, the value is cached, and then the cached time series numerical characteristics are analyzed, namely, the content in step S103 of the weight detection method is executed. When the buffered time series values are stable, the calculation of the weight value is started, i.e. the contents of step S104 and step S105 of the weight recognition and detection method described above are executed. When the buffered time series values are not stable, the process returns to S102 to continue to receive the plantar pressure sensing values periodically.
Further, in a preferred embodiment of the present invention, the step S2 specifically includes the following steps:
s201, arranging a sole pressure sensing unit at a position, below a calcaneus of a foot of a human body, in a shoe;
s202, presetting a low value (DL), a high value (DH) and a minimum step time T p Pressure regression value D q Defining the pressure regression value Dq at the body weight value W T Corresponding plantar pressure sensing value D T In the present example, D q The range is as follows: d T -5≤D q ≤D T +5；
S203, obtaining a plantar pressure sensing value D n Judgment of D n Whether it is within the acquisition range, i.e.: DL is less than or equal to D n DH, when D n Within the acquisition range, thenCollecting the sub-plantar pressure sensing value, otherwise, not collecting the sub-plantar pressure sensing value;
s204, calculating D n And the pressure regression value D q And the difference value is recorded as S, namely: s = D n -D q If S is<0, marking the sub-plantar pressure sensing value as a reduction type; if S>0, marking the sub-plantar pressure sensing value as growth type; if S =0, marking the value of the sub-plantar pressure sensing as a regression type;
s205, determining whether the relation between the number N of times that the regression type plantar pressure sensing unit appears and the decision value M, that is, the number of times that S =0 is equal to the decision value M, in the embodiment of the present invention, the decision value M =3 is defined. The plantar pressure sensing units are placed according to a mode shown in a figure 3, when a person walks, the change characteristics of plantar pressure sensing numerical values are analyzed, namely the plantar pressure numerical values are alternately changed according to a mode shown in a figure 5, and when the person walks for one step, the plantar pressure numerical values are equal to a pressure regression value Dq for 3 times.
If the times N are equal to the decision value M, the numerical values of the plantar pressure sensing units are recorded three times and are respectively N 1 、N 2 、N 3 And the corresponding time is TN 1 、TN 2 、TN 3 Calculating TN 1 And TN 3 The difference between the two times is recorded as D, namely D = TN 1 -TN 3 When D is larger than the system preset minimum step length time T p Then, counting steps for one time; if the number of times N is not equal to the decision value M, step S206 is executed.
S206, repeating the five steps S201-S205.
The step counting detection algorithm program runs as follows: the central control unit executes the algorithm and logic processing command and caches the step counting related data of the system. The intelligent processing board can be installed in a wearable foot pressure transmission device in a shoe for step counting. As shown in fig. 3, the plantar pressure sensing unit is located at the heel position "001" (off-plate type); for the plate type, the plantar pressure sensing unit is integrated on the intelligent body weight data processing plate.
When the microminiature weight data intelligent processing board of the invention is used for manometer step detection, as shown in fig. 2, the meter is initializedHardware is calculated. Periodically responding to the sole pressure sensing unit value D n Namely, the central control unit periodically obtains the sensing value D of the plantar pressure sensing unit n . When the value D is n When the foot sole pressure is in the detection range, namely the content of the weight step counting detection method in the step S203, the central control unit sends the foot sole pressure sensing value D n And performing difference operation with the pressure regression value. When the value D is n And if the pressure is not in the preset value range, returning to continue to periodically respond to the plantar pressure sensing value. At the value D n When the pressure is in the detection range, the sole pressure sensing value D is detected n And after carrying out difference operation on the pressure regression value, calculating the times N of the plantar pressure sensing value and the pressure regression value which are equal, and judging whether the times N are equal to the decision value M or not. In an embodiment of the present invention, the decision value M is set to 3. And when the number N is not equal to the decision value M, returning to continue to periodically respond to the numerical value of the plantar pressure sensing unit. When the number N is equal to the decision value M, judging whether the time interval is larger than the shortest time interval between two steps, counting steps if the time interval is larger than the shortest time interval between two steps, and returning to continue to periodically respond to the plantar pressure sensing numerical value; otherwise, the process also returns to continue the periodic plantar pressure sensing numerical response, i.e., the content described in step S205 of the step counting detection method.
The method can synchronously complete the weight detection and the step counting detection, and the detection data is based on the high precision of the pressure sensing data and the scientificity of the algorithm, so that the high-precision human body weight data and the real walking step number are obtained.
Further, the subminiature weight data intelligent processing board provided by the embodiment of the invention further comprises a wireless transmission module, and the processing data stored in the memory or the buffered processing data are transmitted out through the wireless transmission module. The wireless transmission module can be a Bluetooth module, and can also be a wireless data transmission module with the power of more than 2.4G. In a preferred embodiment of the present invention, as shown in fig. 6, the central control unit, the wireless transmission module and the data storage are further connected to a power management module, and the power management module controls the power device by using a power management chip with model number AMS 1117. The relevant models of the central control unit, the wireless transmission module and the data memory are respectively shown in fig. 6, and are not described herein again.
The central control unit is used for executing arithmetic operation and logic processing commands, the storage unit is used for storing or temporarily storing data detected by the sole pressure sensing unit and data obtained by arithmetic processing of the central control unit, and the sole pressure sensing unit is used for periodically detecting sole pressure in real time. The intelligent processing board is arranged inside the shoe, and particularly, as shown in fig. 3, the sole pressure sensing unit is arranged at the position '001' of the heel or the relevant position (namely, in a board type).
The microminiature weight data intelligent processing board has the following characteristics:
(1) Ultra-small size: the length, width and height geometric dimension of the finished piece is controlled to be 50mm (L) 30mm (W) 5mm (H);
(2) Ultra-low power consumption: the running power consumption is controlled within 100mW, and the static power consumption is controlled within 0.8 mW;
(3) The calendar clock is automatically calibrated during daily wearing so as to ensure the real-time performance and the continuity of measured data;
(4) The wearing uniqueness of the user product coding information is ensured so as to ensure the automatic management of the network platform data;
(5) Continuously storing and recording the weight and the number of steps for a long time;
(6) Network control or other wireless control, bluetooth control functions.
When the intelligent processing board is applied to the intelligent pedometer shoes, the shoes are also internally provided with a power supply device connected with the detection board, specifically, the power supply device can be an active battery or a passive battery, and the structure of the power supply device does not form a component part in the technical scheme of the invention, is irrelevant to the technical integrity of the invention and is not described herein.
In conclusion, the subminiature weight data intelligent processing board disclosed by the invention can obtain the data obtained by physical measurement by responding to the plantar pressure sensing numerical value in real time, and can obtain the human body weight data with high precision by combining a rigorously designed weight identification algorithm and a step counting algorithm, and the obtained step counting numerical value reflects the number of steps taken by a person. The subminiature weight data intelligent processing plate obtains external human sole behavior data through the sole pressure sensing unit located at the heel of a human body, performs data acquisition and analysis by using the central control unit, obtains the weight value of the human body by using running algorithm analysis, realizes a step counting function according to the change condition of sole pressure, and has the advantages of high data precision, small size of the processing plate, low power consumption and flexible application in intelligent wearable shoes.
It should be noted that the subminiature intelligent weight data processing board of the present invention includes, but is not limited to, being used in a subminiature intelligent wearable weight detecting device according to another aspect of the present invention, that is, the subminiature intelligent weight data processing board of the present invention may also be applied to other intelligent devices with different structural forms, such as riding devices, fitness devices, and the like, specifically, such as bicycles, spinning bicycles, and the like, and accordingly, when being applied to such devices, it is used to detect the number of cycles of riding. The subminiature intelligent wearable body weight and step measuring detection plate disclosed by the embodiment of the invention is applied to intelligent shoes more conventionally, and also can be applied to other intelligent devices with different structural forms, such as riding devices, fitness devices and the like, specifically bicycles, spinning bicycles and the like, and accordingly, when the subminiature intelligent wearable body weight and step measuring detection plate is applied to the devices, the number of cycles of riding is detected. The specific embodiments of the present invention are not to be considered as limiting the invention. On the premise of using the same weight detection algorithm and step counting algorithm principle as the weight detection algorithm and step counting algorithm of the invention and similar structure function, the weight detection algorithm and step counting algorithm is applied to equipment in other fields and is also regarded as infringement.
The foregoing shows and describes the general principles, structures, and key features of the present invention and its advantages. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are merely illustrative of the principles of the invention, but that various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined by the appended claims and their equivalents.

Claims (4)

1. The weight and step counting detection method is characterized by comprising the following steps:
s1, obtaining a sole pressure sensing numerical value of a period of time by computing hardware, preprocessing and storing a single sole pressure sensing numerical value through a preset numerical value processing rule, identifying the sole pressure numerical value in the period of time by a time sequence, then judging the stability of the time sequence numerical value, and computing a human body weight value according to a stability judgment result;
s2, synchronously with the step S1, the computing hardware continuously responds to the change of the plantar pressure sensing numerical value, analyzes the numerical value change characteristic and completes the step counting function according to the numerical value change condition;
the step S2 specifically includes the following steps:
s201, arranging a sole pressure sensing unit at a position, below a calcaneus of a foot of a human body, in a shoe;
s202, presetting a low value DL and a high value DH, a minimum step length time Tp and a pressure regression value Dq, and defining the range of the pressure regression value Dq on a plantar pressure sensing value DT corresponding to a weight value WT, wherein the range of the Dq is as follows: dq is more than or equal to DT-5 and less than or equal to DT +5;
s203, obtaining a plantar pressure sensing value Dn, and judging whether Dn is in an acquisition range, namely: dn is more than or equal to DL and less than or equal to DH, when Dn is in the collection range, the plantar pressure sensing value is collected, otherwise, the value is not collected;
s204, calculating a difference value between Dn and the pressure regression value Dq, recording the difference value as S, namely: s = Dn-Dq, if S <0, then the plantar pressure sensing value is marked as reduced; if S is greater than 0, marking the plantar pressure sensing value as growth type; if S =0, marking the plantar pressure sensing value as a regression type;
s205, judging the relation between the number N of times of the regression type plantar pressure sensing numerical value and the decision value M, namely whether the number of times of S =0 is equal to the decision value M or not, defining the decision value M =3, if the number N is equal to the decision value M, recording the plantar pressure sensing numerical values for three times as N1, N2 and N3 respectively, recording corresponding moments as TN1, TN2 and TN3, calculating the time difference between TN1 and TN3, recording the difference value as D, namely D = TN1-TN3, and counting steps once when D is larger than the preset minimum step length time Tp of the system; if the number of times N is not equal to the decision value M, go to step S206;
s206, repeating the five steps S201-S205.
2. The method for detecting weight and step counting according to claim 1, wherein the step S1 specifically comprises the following steps: s101, presetting plantar pressure acquisition time T, and acquiring a plantar pressure sensing value range: low value DL1 and high value DH1;
s102, judging whether the plantar pressure sensing value Dn is within a preset value acquisition range, namely: dn is more than or equal to DL1 and less than or equal to DH1, when the numerical value is within the preset range, the plantar pressure sensing numerical value Dn is obtained and stored, and n plantar pressure sensing numerical values are obtained until the acquisition time T is finished;
s103, presetting a stability judgment entropy Q range, wherein the setting range of the entropy Q is as follows: -5. Ltoreq. Q.ltoreq.5; and (3) carrying out stability identification on the time sequence numerical values collected and stored in the time T, namely: qn-1= Dn-Dn-1, n > -1;
judging whether qn-1 is in the range of the entropy value Q, if so, identifying two adjacent groups of numerical values by using Kn, and sequentially finishing the judgment of the numerical values of the whole time sequence;
s104, counting the number N of the two adjacent numerical values in the entropy range, judging the corresponding relation between N and the time sequence numerical value, and defining the stability of the time sequence, wherein the relation is as follows: if the number N of the Kn is equal to N-1, namely N = N-1, defining the time sequence as a stable sequence, otherwise, defining the time sequence as an unstable sequence;
s105, when the plantar pressure time series numerical values collected in the collection time T are stable numerical value series, the average value of the time series numerical values is obtained to serve as the weight value WT of the human body in the time period T, and the formula is as follows:
Figure 368156DEST_PATH_IMAGE001
，0≤k≤n；
and S106, repeating the five steps S101-S105.
3. The microminiature weight data intelligent processing board is characterized by comprising a PCB circuit board, wherein a central control unit, a storage unit, an analog-digital conversion unit and a plantar pressure sensing unit which are connected are arranged on the PCB circuit board, a weight step counting detection algorithm program and a corresponding control management program are burnt in the central control unit, the weight step counting detection algorithm program operates the weight and step counting detection method according to any one of claims 1 to 2, and the length and width of a finished part of the microminiature weight data intelligent processing board are within the range of 50mm 30mm 5 mm.
4. The subminiature weight data intelligent processing board of claim 3, further comprising a wireless transmission module.
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