CN110025318A - A kind of tumble real-time detecting system and method based on acceleration transducer - Google Patents

A kind of tumble real-time detecting system and method based on acceleration transducer Download PDF

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CN110025318A
CN110025318A CN201810027142.5A CN201810027142A CN110025318A CN 110025318 A CN110025318 A CN 110025318A CN 201810027142 A CN201810027142 A CN 201810027142A CN 110025318 A CN110025318 A CN 110025318A
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data
tumble
module
acceleration
acceleration transducer
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陈晨
朱建良
张国庆
王雯琦
柏靖基
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Nanjing University of Science and Technology
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Nanjing University of Science and Technology
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1116Determining posture transitions
    • A61B5/1117Fall detection
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802Sensor mounted on worn items
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813Specially adapted to be attached to a specific body part
    • A61B5/6823Trunk, e.g., chest, back, abdomen, hip
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2503/00Evaluating a particular growth phase or type of persons or animals
    • A61B2503/08Elderly

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  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The invention discloses a kind of tumble real-time detecting system and method based on acceleration transducer.The system includes acceleration transducer, wireless transmitter, wireless receiver, data processing module, power module, warning module, system reset module and PC machine, and data processing module includes data pre-processing unit and tumble model.Method are as follows: the system is worn on the waist i.e. position of hipbone upper end of human body, acceleration transducer acquires the acceleration of three axis during human motion, and it is transferred to data processing module, data are pre-processed by data pre-processing unit, then tumble model is substituted into, judge whether to be in during tumble, starts warning module if falling, system is resetted by reseting module;Treated data and final testing result are emitted by wireless transmitter and are received by wireless receiver, are finally transmitted to PC machine and carry out data monitoring.The present invention is able to achieve the real-time detection to tumble, ensures the health and safety of institute's Monitoring Population.

Description

A kind of tumble real-time detecting system and method based on acceleration transducer
Technical field
The present invention relates to control system technical field, especially a kind of tumble real-time detection system based on acceleration transducer System and method.
Background technique
Increasingly developed with China's economy, aging trend is got worse, and correlation study is studies have shown that the year two thousand thirty sky Specific gravity shared by nest old man family will be up to 90%, and empty nesting will be presented in the Old Age Homes in China at that time, and simultaneously, the elderly Tumble incidence is high, due to senile osteoporosis and is easy to fracture, the consequence fallen is serious.At present fall at The 4th on the reason of causing injures and deaths for China list, at 65 years old and be then the 1st in the crowd of the above age bracket.With the age Growth, Falls in Old People is easy to cause many diseases, gently then causes to scratch or even fracture, heavy then cause to go into a coma and the cerebrovascular It is unexpected etc., it is also possible to cause paralysis even dead under more serious situation.The elderly can generate pavid psychology after tumble, this The feared state of mind substantially reduces the mobility that will lead to the elderly, and then its scope of activities is caused to reduce, and influences the elderly's Quality of life.
After Falls in Old People very big negative effect can be caused in physiology and psychological levels.Tested person is detected in real time Member is falling, and issues warning signal, and convenient for a series of execution of subsequent safeguard procedures, effectively can reduce and prevent It falls and the elderly's bring is injured.The algorithm of fall detection common pattern identification at present, but algorithm for pattern recognition is related to The calculating of higher dimensional space causes calculation amount very big, so the requirement to hardware is very high, real-time is bad.
Summary of the invention
The purpose of the present invention is to provide a kind of real-times, and good, the easy reliably tumble based on acceleration transducer is real-time Detection system and method,
The technical solution for realizing the aim of the invention is as follows: a kind of tumble real-time detection system based on acceleration transducer System, including acceleration transducer, wireless transmitter, wireless receiver, data processing module, power module, warning module, system Reseting module and PC machine, data processing module include data pre-processing unit and tumble model;Acceleration transducer accesses data The data output end of processing module, data processing module is connect with wireless transmitter, and the output end and PC machine of wireless receiver connect It connects, warning module is connect with data processing module;
The system is worn on the waist i.e. position of hipbone upper end of human body, is powered by electric power source pair of module whole system, Acceleration transducer acquires the acceleration of tri- axis of X, Y, Z during human motion, and data are transferred to data processing by SPI Module pre-processes data by the data pre-processing unit in data processing module, then substitutes into tumble model, and judgement is It is no to be in during tumble, start warning module if falling, system is resetted by reseting module;Entire real-time During detection, treated data and final testing result are emitted by wireless transmitter and are connect by wireless receiver It receives, is finally transmitted to PC machine and carries out data monitoring.
Further, the acceleration transducer is ADXL345 acceleration transducer, and the Z axis of acceleration transducer Perpendicular to ground.
Further, the main control chip of the data processing module be LPC1114, auxiliary circuit include reset circuit, Power module, oscillating circuit and JTAG debugging circuit module.
Further, the power module uses power supply of the chargeable 5V lithium battery as whole system.
Further, the wireless transmitter and wireless receiver use the modulation demodulation system of GFSK to carry out data biography It is defeated.
Further, the wireless receiver uses USB interface wireless data transfer module.
A kind of tumble real-time detection method based on acceleration transducer, comprising the following steps:
Step 1, by the tumble real-time detecting system based on acceleration transducer, it is worn on the waist i.e. hipbone upper end of human body Position, acceleration transducer acquires the acceleration of tri- axis of X, Y, Z during human motion, and data is transferred to by SPI Data processing module;
Step 2, the data pre-processing unit in data processing module pre-processes data, then substitutes into tumble mould Type judges whether to be in during tumble, starts warning module if falling, is resetted by reseting module to system;
Step 3, during entire real-time detection, treated data and final testing result are by wireless hair Emitter emits and is received by wireless receiver, is finally transmitted to PC machine and carries out data monitoring.
Further, the data pre-processing unit in data processing module described in step 2 pre-processes data, so Tumble model is substituted into afterwards, judges whether to be in during tumble, specific as follows:
It is firstly introduced into a total acceleration A0As characteristic quantity:
Wherein ax、ay、azThe respectively acceleration of tri- axis of X, Y, Z of acceleration transducer acquisition;
Secondly, by continuously acquire 5~10 total acceleration A0It averages to obtain V0
Finally, establishing tumble model according to following three criterions:
1) resultant acceleration threshold criterion
Threshold value A is set1=2g, as resultant acceleration A0Greater than A1When enter judgement 2), otherwise continue to acquire data, g attaches most importance to Power acceleration;
2) slope criterion
Select S1Threshold value of=the 25g/s as slope, when detect resultant acceleration slope data S be greater than S1When, into 3) Judgement, otherwise continue acquire data;
3) average acceleration criterion
Select V3=3.9g is as average value judgment basis, as the data V by average value processing0Greater than V3When, then finally sentence Break to fall.
Compared with prior art, the present invention its remarkable advantage is: (1) being developed based on embedded, having can cut Property, hard real-time, stiff stability, weak interactivity the characteristics of, it is easy to operate it is simple, friendly figure GUI and graphical interfaces are provided With provide powerful network function be various mobile computing device spare interfaces, and have better hardware adaptive mechanism, have compared with Long life cycle;(2) 3-axis acceleration sensor ADXL345 is used, has precision high, low in energy consumption, adjustable sampling is fast The mode of rate and measurement, can measure dynamic acceleration under movement or even vibration environment, and portability, real-time are good;(3) fall The method that reverse mould type uses threshold decision, can effectively realize and rapidly judge tumble, and accuracy is high, and can fall It detects to fall during, is conducive to instant take safeguard procedures;(4) chargeable 5V lithium battery, energy-saving ring are used It protects, it is easy to carry, be conducive to sustainable development;Compact and layout is simple, easy to carry, sexual valence is high;(5) it may be implemented pair The detection of the elderly's motion state records the daily routines situation of the elderly and sounds an alarm in time when unsafe condition occurs, So as to the execution of follow-up, is conducive to the health and safety for ensureing the elderly, improves the quality of life of the elderly.
Detailed description of the invention
Fig. 1 is the hardware block diagram of the tumble real-time detecting system the present invention is based on acceleration transducer.
Fig. 2 is micro controller module hardware block diagram in the present invention.
Fig. 3 is 3-axis acceleration sensor module hardware structural block diagram in the present invention.
Fig. 4 is serial ports sending and receiving data process figure in the present invention, wherein (a) is to send data flowchart, it is (b) reception data Flow chart.
Fig. 5 is SPI communication agreement timing diagram in the present invention.
Fig. 6 is the schematic diagram of tumble model in the present invention.
Fig. 7 is software overview flow chart of the invention.
Specific embodiment
The present invention is based on the tumble real-time detecting systems of acceleration transducer, including acceleration transducer 1, wireless transmitter 2, wireless receiver 3, data processing module 4, power module 5, warning module 6, system reset module 7 and PC machine 8, data processing Module 4 includes data pre-processing unit and tumble model;Acceleration transducer 1 accesses data processing module 4, data processing module 4 data output end is connect with wireless transmitter 2, and the output end of wireless receiver 3 is connect with PC machine 8, warning module 6 and data Processing module 4 connects;
The system is worn on the waist i.e. position of hipbone upper end of human body, is powered by power module 6 to whole system, Acceleration transducer 1 acquires the acceleration of tri- axis of X, Y, Z during human motion, and data are transferred at data by SPI Module 4 is managed, data are pre-processed by the data pre-processing unit in data processing module 4, tumble model is then substituted into, sentences It is disconnected whether to be in during tumble, start warning module 6 if falling, system is resetted by reseting module 7;Whole During a real-time detection, treated data and final testing result are emitted by wireless transmitter 2 and by wireless Receiver 3 receives, and is finally transmitted to PC machine 8 and carries out data monitoring.
Further, the acceleration transducer 1 is ADXL345 acceleration transducer, and the Z axis of acceleration transducer Perpendicular to ground.
Further, the main control chip of the data processing module 4 be LPC1114, auxiliary circuit include reset circuit, Power module, oscillating circuit and JTAG debugging circuit module.
Further, power supply of the power module 5 using chargeable 5V lithium battery as whole system.
Further, the wireless transmitter 2 and wireless receiver 3 use the modulation demodulation system of GFSK to carry out data Transmission.
Further, the wireless receiver 3 uses USB interface wireless data transfer module.
A kind of tumble real-time detection method based on acceleration transducer, comprising the following steps:
Step 1, by the tumble real-time detecting system based on acceleration transducer, it is worn on the waist i.e. hipbone upper end of human body Position, acceleration transducer 1 acquires the acceleration of tri- axis of X, Y, Z during human motion, and data is transferred to by SPI Data processing module 4;
Step 2, the data pre-processing unit in data processing module 4 pre-processes data, then substitutes into tumble mould Type judges whether to be in during tumble, starts warning module 6 if falling, is answered by reseting module 7 system Position;
Step 3, during entire real-time detection, treated data and final testing result are by wireless hair Emitter 2 emits and is received by wireless receiver 3, is finally transmitted to PC machine 8 and carries out data monitoring.
Further, the data pre-processing unit in data processing module 4 described in step 2 pre-processes data, Then tumble model is substituted into, judges whether to be in during tumble, specific as follows:
It is firstly introduced into a total acceleration A0As characteristic quantity:
Wherein ax、ay、azThe respectively acceleration of tri- axis of X, Y, Z of acceleration transducer acquisition;
Secondly, by continuously acquire 5~10 total acceleration A0It averages to obtain V0
Finally, establishing tumble model according to following three criterions:
1) resultant acceleration threshold criterion
Threshold value A is set1=2g, as resultant acceleration A0Greater than A1When enter judgement 2), otherwise continue to acquire data, g attaches most importance to Power acceleration;
2) slope criterion
Select S1Threshold value of=the 25g/s as slope, when detect resultant acceleration slope data S be greater than S1When, into 3) Judgement, otherwise continue acquire data;
3) average acceleration criterion
Select V3=3.9g is as average value judgment basis, as the data V by average value processing0Greater than V3When, then finally sentence Break to fall.
With reference to the accompanying drawing and specific embodiment is further elaborated with the present invention.
Embodiment 1
The present embodiment is that the collected human body movement data of acceleration transducer ADXL345 institute is transferred to microcontroller Several threshold values are obtained by data processing later, are compared with tumble model, to realize the quick reality to Falls in Old People When detection, if it is detected that falling, buzzer sounds an alarm indication and falls, and is answered after the completion of whole flow process by reset system Position starts the data acquisition of a new round and judges work.
1. the Falls in Old People real-time detecting system Design of Hardware Architecture based on acceleration transducer ADXL345
Old people's air defense falls the real-time hardware design structure of falling detection system block diagram as shown in Figure 1, being made of following module: Acceleration transducer 1, wireless transmitter 2, wireless receiver 3, data processing module 4, power module 5, warning module 6, system Reseting module 7 and PC machine 8, data processing module 4 include data pre-processing unit and tumble model;Acceleration transducer 1 accesses The data output end of data processing module 4, data processing module 4 is connect with wireless transmitter 2, the output end of wireless receiver 3 It is connect with PC machine 8, warning module 6 is connect with data processing module 4.
Development platform of the microcontroller based on ARM technology and KEIL in acceleration transducer 1, by being based on MEMS (MEMS) 3-axis acceleration sensor of technology carries out the acquisition of 3-axis acceleration data, and collected data are led to by SPI Letter agreement is transferred to the main control chip LPC1114 of data processing module 4, carries out the processing of data simultaneously by main control chip LPC1114 Treated data are compared and are judged with the tumble model in Fig. 6, judging result is exported in a manner of alarm;It falls And after early warning, the reset to whole system is realized by reseting module, restarts to work normally.It is built by wireless transceiver module The vertical communication with PC machine, by whole process data and alarm record be transferred to PC machine, realize to the elderly's motion state Detection and data storage.
2. acceleration transducer
3-axis acceleration sensor is ADXL345.ADXL345 is the ADI company three axis accelerometer released in 2008, it Using MEMS technology, has the function of SPI and IIC numeral output.The hardware circuit of 3-axis acceleration sensor as shown in Figure 2 Figure, is powered by 3.3V power supply, is initialized by program to 3-axis acceleration device module, passes through past corresponding register Write instruction configures it.Its measurement range is ± 16g, and interrupt signal is that high level is effective, and normal mode is measurement Mode.ADXL345 can measure 3-axis acceleration and angle corresponding to 3-D walls and floor X, Y, Z axis (three weeks vertical two-by-two) Information, but since ADXL345 angle collected is static angular information, it is not suitable for dynamical system, and ADXL345 can transported Dynamic acceleration is measured under dynamic or even vibration environment, so the acceleration information using three axis acquires data as effective, And it is inputted 3-axis acceleration information collected as the data of microcontroller.
3. data processing module
Data processing module 4 following components as shown in figure 3, be made of: main control chip LPC1114, reset circuit, vibration Swing circuit and JTAG debugging circuit.Power module 5 is the power supply of data processing module 4.
1) main control chip
Main control chip uses LPC1114, and the kernel of LPC1100 series A RM is Cortex-M0, be with high-performance, Easy to use and low-power consumption feature 32-bit microprocessor.LPC1100 is the solution of 32 most cheap 8-digit microcontrollers, it Cost performance and ease for use it is more outstanding compared to existing 8/16 microcontroller, and can significantly shorten 8/ The length of the code of 16 applications.LPC1100 family chip can not only carry out the control on basis, can also realize complicated fortune It calculates, the efficient running of the chip efficiently reduces the energy consumption of system.The frequency of LPC1100 chip is 50MHz, the chip The electric current for only needing to be less than 10mA can work.
2) power module
Power module uses the chip of model SPX3819M5-3.3, which has low noise, low cost, efficiency The advantage that high, static electric current is small, circuit is simple.The power module uses the power supply of 5V as input, is then converted to 3.3V Output voltage give main control chip power supply.
3) reset circuit
The chip that reset circuit uses is CAT811TBI.LPC1114 chipReset pin low level is effective, Need to guarantee that reset pin keeps a period of time low level when system electrification, CAT811TBI can satisfy this demand.This Outside,Pin is the input pin of hand-reset, and the pin low level effectively (triggering reset signal), the signal of reset needs Keep andLow level time consistency, simultaneouslyAfter pin restores high level, need to continue for 140ms.
4) oscillating circuit
As shown in Figure 3, XTALIN and XTALOUT pin connected be data processing module oscillating circuit, be System oscillating circuit connects external 12M crystal oscillator.After system reset, main control chip takes the lead in using internal RC oscillator, which is to pass through Software exchange, this characteristic can allow the boot loader of system not influenced by external crystal oscillator, run on given frequency it Under.The clock of different peripheral and memory by the distribution of system clock, the timer of SPI0/1, SysTick and UART Clock dividers can obtain suitable peripheral clock.
5) JTAG debugging circuit
J-Link is SEGGER company for the JTAG emulator for supporting emulation ARM core chip to be released.Cooperate IAR The Integrated Development Environment of EWAR, WINARM, KEIL, ADS, RealView etc. support ARM7/ARM9/ARM11, Cortex M0/ The emulation of the core chips such as M1/M3/M4, Cortex A4/A8/A9 may be implemented with KEIL translation and compiling environment used in the present invention Seamless connection, it is easy to connect, easy to operate and easy to learn.If J1 is the connection jaws of J-Link converter in Fig. 3, J- is used Link converter can will compile errorless program and download in chip in KEIL runs.
5. data communication module
The communication of data is RS232 interface and SPI interface with interface in the present invention.
1) serial ports sending and receiving data process figure
In the present invention, using UART interface as the output channel of data, software flow pattern is as shown in Figure 4.Complete After arriving at the acquisition and timing of data, pass through UART serial ports output data groups.The initial work of UART includes will I/O pin function is set as UART serial ports, and baud rate and operating mode is arranged.UART serial ports is queue structure when transmitting data (can be used as buffer area), when judge queue for it is empty or full when, UART serial ports informs that main control chip sends or connects using interrupt mode Harvest data.
2) SPI communication agreement timing diagram
The standard four-wire system SPI hardware interface of LPC1114 used by system can be connected with most of microcontrollers, and It is convenient to operate, and development efficiency is high.Such as the timing diagram that Fig. 5 is SPI communication.Determined with CPOL the clock signal of SCK it is idle when The level of time, CPOL=0, level is low level when idle;When CPOL=1, level is high level when idle.It is determined with CPHA The time of sampling, CPHA=0 are sampled on first clock edge of each period;CPHA=1, at each period second Clock edge is sampled.
6. tumble model
Since human body is flexible structure, in the daily physical activity including falling, each joint and position are all Have the opposite variation of position, thus the test point of tumble model need to be arranged to human body daily routines reflection it is the most steady it Place.In the normal motion of human motion, waist (the most upper edge of hipbone) position is can be in the stable state of comparison , posture changes acutely if falling, so measurement basic point is put in the position, is illustrated in fig. 6 shown below, is human 3d model Figure, using the top (i.e. origin is in the position of waistband) of hipbone, is about the z axis yaw, is to bow around X-axis in the detection of this system It faces upward, and is roll around Y-axis.Test point be arranged in waist location, can be relatively stable obtain test data, be conducive to subsequent Data processing.
During daily walk, it is assumed that in the ideal case, that is, ignore human body and tilted as caused by body and core The factors such as the measurement error of piece itself, when three axis of 3-axis acceleration sensor are completely coincident with the total balance of the body model established When, human body X, Y-axis acceleration should be fluctuated near 0G, and the acceleration of Z axis should fluctuate near 1G.Due to the radian of human body And the reasons such as displacement caused by loosening when wearing, human body have certain deviation when wearing, this deviation can pass through note Then initial condition data when recording chip powers on (when just wearing) compensates data to eliminate, has no effect on number According to analysis and modeling.
7. Falls in Old People real-time detecting system software flow
3-axis acceleration sensor is initialized by calling initialization function ADXL345_Init () first, and Its output frequency (200Hz), resolution ratio (13) and range (± 16g) etc. are configured.System clock is set as 10ms, Every 10ms, serial ports output identification just adds one and three axis accelerometer acquires a data, because the output frequency of serial ports is 40Hz, so serial ports output identification resets and export the number that accelerometer this time acquires when serial ports output identification is greater than 5 According to.Then data substitution tumble model is judged, when meeting the model, that is, tumble alarm is carried out, in order in next step Protection;When be judged as do not meet model when, then repeated data sample the step for.
In conjunction with Fig. 7, the method that the tumble model uses threshold decision, by three summed up according to the experimental data Criterion composition, is threshold value, slope and the average value of resultant acceleration respectively.
In the present system, by acceleration transducer can directly it is collected be three axis acceleration information, in ideal feelings Under condition, i.e., using the top of hipbone (i.e. origin is in the position of waistband), it is about the z axis yaw, is pitching around X-axis, and is cross around Y-axis When rolling.Test chip is when fully horizontally wearing, X under human body stationary state, Y-axis acceleration should be in 0G, and the acceleration of Z axis is answered In 1G.When actual wear the case where 3-axis acceleration with ideal model under state when wearing there are certain error, but human body Total acceleration will not be affected by these factors, though wear state, total acceleration is in 1G, institute when static In addition to introduce a total acceleration A here0As characteristic quantity.
Secondly, by continuously acquire 5~10 total acceleration A0It averages to obtain V0
On this basis, tumble model includes following three criterions: resultant acceleration threshold criterion, slope criterion in this system With average acceleration criterion.
1) resultant acceleration threshold criterion
It is found by the analysis to experimental data, human body horizontal stationary stands up, sits down and lie down that these are more slow The movable resultant acceleration A of daily behavior0All in 2g hereinafter, and corresponding, resultant acceleration A when tumble0All in 2g or more, mostly Number tumble situation is generally in 2.5g or more, so passing through setting threshold value A1=2g judges to fall;As resultant acceleration A0Greater than A1When Judge into next step, otherwise continues to acquire data.
2) slope criterion
It is found by the analysis to experimental data, it, all can be in pole after resultant acceleration often reaches a minimum point when tumble There is the rising of certain amplitude in the short time (generally within 0.2s), so taking ascensional range and the ratio of time (i.e. tiltedly Rate S1) as the foundation for further discriminating between and judging.After largely testing and being compared analysis to experimental data, choosing Select S1Threshold value of=the 25g/s as slope, when detect resultant acceleration slope data S be greater than S1When, judge into next step, Otherwise continue to acquire data.
3) average acceleration criterion
It is found by the analysis to experimental data, the average value of the acceleration in daily routines certain time should be one A stationary value nearby fluctuates, but when falling, can be seen that resultant acceleration A according to its curve0Should have one it is obvious Rising or downward trend and to continue for some time interior fluctuation larger, so the place averaged two-by-two of data will be acquired Reason, draws corresponding data and curves after obtaining new data.By comparing and analyzing selection V3=3.9g judges as average value Foundation, as the data V by average value processing0Greater than V3When, then finally it is judged as and is falling.
After tumble model is finally judged to be in tumble process, warning module will issue early warning alarm more to indicate It falls, in order to the execution of subsequent safeguard measure.

Claims (8)

1. a kind of tumble real-time detecting system based on acceleration transducer, which is characterized in that including acceleration transducer (1), Wireless transmitter (2), wireless receiver (3), data processing module (4), power module (5), warning module (6), system reset Module (7) and PC machine (8), data processing module (4) include data pre-processing unit and tumble model;Acceleration transducer (1) It accesses data processing module (4), the data output end of data processing module (4) is connect with wireless transmitter (2), wireless receiver (3) output end is connect with PC machine (8), and warning module (6) is connect with data processing module (4);
The system is worn on the waist i.e. position of hipbone upper end of human body, is powered, is added to whole system by power module (6) Velocity sensor (1) acquires the acceleration of tri- axis of X, Y, Z during human motion, and data are transferred at data by SPI It manages module (4), data is pre-processed by the data pre-processing unit in data processing module (4), then substitute into tumble mould Type judges whether to be in during tumble, starts warning module (6) if falling, and is carried out by reseting module (7) to system It resets;During entire real-time detection, treated data and final testing result are sent out by wireless transmitter (2) It penetrates and is received by wireless receiver (3), be finally transmitted to PC machine (8) and carry out data monitoring.
2. the tumble real-time detecting system according to claim 1 based on acceleration transducer, which is characterized in that described Acceleration transducer (1) is ADXL345 acceleration transducer, and the Z axis of acceleration transducer is perpendicular to ground.
3. the tumble real-time detecting system according to claim 1 based on acceleration transducer, which is characterized in that described The main control chip of data processing module (4) be LPC1114, auxiliary circuit include reset circuit, power module, oscillating circuit and JTAG debugging circuit module.
4. the tumble real-time detecting system according to claim 1 based on acceleration transducer, which is characterized in that described Power supply of the power module (5) using chargeable 5V lithium battery as whole system.
5. the tumble real-time detecting system according to claim 1 based on acceleration transducer, which is characterized in that described Wireless transmitter (2) and wireless receiver (3) are carried out data transmission using the modulation demodulation system of GFSK.
6. the tumble real-time detecting system according to claim 1 based on acceleration transducer, which is characterized in that described Wireless receiver (3) uses USB interface wireless data transfer module.
7. a kind of tumble real-time detection method based on acceleration transducer, which comprises the following steps:
Step 1, by the tumble real-time detecting system based on acceleration transducer, it is worn on the waist i.e. position of hipbone upper end of human body It sets, acceleration transducer (1) acquires the acceleration of tri- axis of X, Y, Z during human motion, and data are transferred to number by SPI According to processing module (4);
Step 2, the data pre-processing unit in data processing module (4) pre-processes data, then substitutes into tumble model, Judge whether to be in during tumble, starts warning module (6) if falling, system is answered by reseting module (7) Position;
Step 3, during entire real-time detection, treated data and final testing result are by wireless transmitter (2) emit and received by wireless receiver (3), be finally transmitted to PC machine (8) and carry out data monitoring.
8. the tumble real-time detection method according to claim 7 based on acceleration transducer, which is characterized in that step 2 Described in data pre-processing unit in data processing module (4) data are pre-processed, then substitute into tumble model, judgement Whether it is in during tumble, specific as follows:
It is firstly introduced into a total acceleration A0As characteristic quantity:
Wherein ax、ay、azThe respectively acceleration of tri- axis of X, Y, Z of acceleration transducer acquisition;
Secondly, by continuously acquire 5~10 total acceleration A0It averages to obtain V0
Finally, establishing tumble model according to following three criterions:
1) resultant acceleration threshold criterion
Threshold value A is set1=2g, as resultant acceleration A0Greater than A1When enter judgement 2), otherwise continue to acquire data, g adds for gravity Speed;
2) slope criterion
Select S1Threshold value of=the 25g/s as slope, when detect resultant acceleration slope data S be greater than S1When, into sentencing 3) It is disconnected, on the contrary continue to acquire data;
3) average acceleration criterion
Select V3=3.9g is as average value judgment basis, as the data V by average value processing0Greater than V3When, then finally it is judged as It is falling.
CN201810027142.5A 2018-01-11 2018-01-11 A kind of tumble real-time detecting system and method based on acceleration transducer Pending CN110025318A (en)

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