CN104729659A - Natural motion weight measuring system - Google Patents
Natural motion weight measuring system Download PDFInfo
- Publication number
- CN104729659A CN104729659A CN201510162202.0A CN201510162202A CN104729659A CN 104729659 A CN104729659 A CN 104729659A CN 201510162202 A CN201510162202 A CN 201510162202A CN 104729659 A CN104729659 A CN 104729659A
- Authority
- CN
- China
- Prior art keywords
- body weight
- measuring system
- weight measuring
- proper motion
- mcu
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Force Measurement Appropriate To Specific Purposes (AREA)
Abstract
The invention provides a natural motion weight measuring system. The system is designed for measuring the weight and the passing speed of all persons passing through a measuring area on the premise of the unawareness of the measured persons in the field of life measurement. As one or more sets of piezoelectric sensors are fixed into one to more floors respectively, when people pass by unintentionally, an electrical signal converted from a pressure signal is transmitted to a single-chip microprocessor through signal amplification and AD conversion, zero-order to second-order derivative feature points and the frequency feature of feature wave forms are extracted, then the weight is obtained by means of calculated related feature value-weight functions, when more than two measuring floors are distributed adjacently, steps and time intervals can be accurate so that the accurate passing speed can be obtained, and if only one floor is distributed, the steps are estimated through collected feature values to obtain an estimated value of the speed. A certain identity identification function can be achieved through feature recording and analyzing. The result is transmitted to a mobile device designated by a user through Bluetooth wireless transmission. The system is mainly used in the aspects of weight monitoring, health management, identity identifying and the like.
Description
Technical field:
Life is measured
Background technology:
Piezoelectricity conversion, signal amplification filtering, A/D conversion, MCU, bluetooth, mathematical statistics, regretional analysis etc.
Summary of the invention:
Measure all body weight and the Negotiation speed of passing by measured zone person under being intended to the unware prerequisite of measured, and carry out identification to a certain extent.Solution: fix one respectively to array piezoelectric sensor in one to several piece floor, when measured walk unintentionally out-of-date, momentum is by the pressure signal of the shape of a saddle or cat ear shape that cause feature, this signal is converted into electric signal and passes through signal amplifier, pass toward single-chip microcomputer (MCU) process after A/D converter, zero to the second derivative unique point of this shape of a saddle ripple and spectrum signature extract by MCU, then by eigenwert-body weight related function, (this function is calculated at laboratory stage by mathematical statistics and regretional analysis, and should continue perfect in practical application) solve body weight, can accurately stride and the time interval thus obtain accurate Negotiation speed when there being more than two pieces to measure plate adjacent distributions, if only have one piece by the eigenwert estimation stride by having gathered, thus obtain the estimated value of speed.Also certain identity recognition function can be realized to feature record analysis.All results and the mobile device needing the data retained to be specified to user by Bluetooth wireless transmission.Special instruction: measuring accuracy and A/D sampling rate are closely related, device sampling rate is by cost impact (more accurate more expensive).MCU aspect should adjust flexibly according to class of subscriber (family expenses, work with, medical, military), and most of MCU all can realize native system, and low cost low-power consumption A/D and MCU selected by the model machine made, but experimental machine is made up of high-speed a/d and MCU.
Accompanying drawing illustrates:
Fig. 1 is system chart
Fig. 2 mentions the shape of a saddle or the cat ear shape signature waveform (this figure system waveform sectional drawing) that I organizes the walking momentum generation of research above
Fig. 3 is the sensor integration schematic layout pattern (a group) of floor tile bottom surface
Fig. 4 is the HX711A/D chip structure figure that model machine adopts
Fig. 5 is pressure transducer connection layout
Fig. 6 is by being adopted the pin figure of ATMEGA328
Embodiment:
One is fixed respectively to array piezoelectric sensor in one to several piece floor, floor surface and surrounding ground are as good as, be in same plane seamless combination, when measured walk unintentionally out-of-date by its information such as momentum and pressure change calculations body weight, stride, speed, walking custom, gravity centre distribution over the ground.
Claims (10)
1. proper motion body weight measuring system measures all body weight and the Negotiation speed of passing by measured zone person under being intended to the unware prerequisite of measured, and carries out identification to a certain extent.Solution: fix one respectively to array piezoelectric sensor in one to several piece floor, when measured walk unintentionally out-of-date, momentum is by the pressure signal of the shape of a saddle or cat ear shape that cause feature, this signal is converted into electric signal and passes through signal amplifier, pass toward single-chip microcomputer (MCU) process after A/D converter, zero to the second derivative unique point of this shape of a saddle ripple and spectrum signature extract by MCU, then by eigenwert-body weight related function, (this function is calculated at laboratory stage by mathematical statistics and regretional analysis, and should continue perfect in practical application) solve body weight, can accurately stride and the time interval thus obtain accurate Negotiation speed when there being more than two pieces to measure plate adjacent distributions, if only have one piece by the eigenwert estimation stride by having gathered, thus obtain the estimated value of speed.Also certain identity recognition function can be realized to feature record analysis.All results and the mobile device needing the data retained to be specified to user by Bluetooth wireless transmission.Special instruction: measuring accuracy and A/D sampling rate are closely related, device sampling rate is by cost impact (more accurate more expensive).MCU aspect should adjust flexibly according to class of subscriber (family expenses, work with, medical, military), and most of MCU all can realize native system, and low cost low-power consumption A/D and MCU selected by the model machine made, but experimental machine is made up of high-speed a/d and MCU.
2. proper motion body weight measuring system according to claim 1, is characterized by: can not examine measured, not damaged, do not stop current action situation under measure.
3. proper motion body weight measuring system according to claim 1, is characterized by: the differential coefficient characteristic sum spectrum sigtral response of the shape of a saddle that the momentum that during by moving to people, foot produces over the ground is formed or cat ear shape signature waveform (hereinafter referred to as waveform) obtains body weight, velocity information the identification carried out to a certain degree.
4. proper motion body weight measuring system according to claim 1, is characterized by: solve body weight by the Principle of Statistics such as mathematical statistics and regretional analysis--waveform character value and speed--waveform character value function relation.
5. proper motion body weight measuring system according to claim 1, is characterized by: use piezoelectric sensor to carry out original signal collection.
6. proper motion body weight measuring system according to claim 1, is characterized by: amplify the original signal of piezoelectric sensor collection, to simulate and digital filtering, A/D conversion, single-chip microcomputer (MCU) Treatment Analysis data, Bluetooth wireless transmission, mobile device accept display result.
7. proper motion body weight measuring system according to claim 1, is characterized by: Substitute For Partial ground, or is arranged on floor, floor tile.Among ground or under.
8. proper motion body weight measuring system according to claim 1, is characterized by: work in 24 hours is also power autonomous, and can use at any time, anyone can use, and does not affect institute's all normal activities in installation region, for all somatometries in region but not particular individual.
9. proper motion body weight measuring system according to claim 1, is characterized by: need measured to pass by measured zone.
10. proper motion body weight measuring system according to claim 1, is characterized by: do not affect the function of institute installation region, structural intergrity and reliability after installation.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510162202.0A CN104729659A (en) | 2015-04-08 | 2015-04-08 | Natural motion weight measuring system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510162202.0A CN104729659A (en) | 2015-04-08 | 2015-04-08 | Natural motion weight measuring system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN104729659A true CN104729659A (en) | 2015-06-24 |
Family
ID=53453766
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510162202.0A Pending CN104729659A (en) | 2015-04-08 | 2015-04-08 | Natural motion weight measuring system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104729659A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107368768A (en) * | 2016-05-11 | 2017-11-21 | 欧姆龙健康医疗事业株式会社 | Suitable for the user identification method and scale of scale |
CN108267209A (en) * | 2017-01-04 | 2018-07-10 | 吉林省吴太感康药业有限公司 | A kind of floor tile |
-
2015
- 2015-04-08 CN CN201510162202.0A patent/CN104729659A/en active Pending
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107368768A (en) * | 2016-05-11 | 2017-11-21 | 欧姆龙健康医疗事业株式会社 | Suitable for the user identification method and scale of scale |
CN108267209A (en) * | 2017-01-04 | 2018-07-10 | 吉林省吴太感康药业有限公司 | A kind of floor tile |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Gao et al. | Evaluation of accelerometer based multi-sensor versus single-sensor activity recognition systems | |
CN106166071B (en) | A kind of acquisition method and equipment of gait parameter | |
CN108452480B (en) | Running machine and running posture detection method and device on running machine | |
Cheng et al. | Active capacitive sensing: Exploring a new wearable sensing modality for activity recognition | |
CN108392211B (en) | Fatigue detection method based on multi-information fusion | |
CN103829929B (en) | A kind of portable body load physiology and biomechanics monitoring device | |
CN101596107B (en) | Method for realizing detection of heart rate by mobile terminal and mobile terminal thereof | |
CN105125216A (en) | Gait detection system based on sole pressure | |
CN103654798B (en) | Method and device for monitoring and recording emotion | |
CN103006187A (en) | Non-contact vital sign data monitoring system and non-contact vital sign data monitoring method | |
Majumder et al. | A multi-sensor approach for fall risk prediction and prevention in elderly | |
CN105243285A (en) | Big data health forecast system | |
CN109464134B (en) | Pulse monitoring device and system | |
KR20120098538A (en) | Apparatus for tremor measure of fingers | |
Iervolino et al. | A wearable device for sport performance analysis and monitoring | |
CN104729659A (en) | Natural motion weight measuring system | |
CN107519618A (en) | A kind of foot rehabilitation training equipment | |
CN106821378A (en) | A kind of portable muscular fatigue degree testing equipment based on electronics epidermis | |
CN112263254A (en) | Human body energy consumption prediction system based on surface electromyogram signal sensor and prediction method thereof | |
CN203274756U (en) | Wireless step counting device | |
CN208492094U (en) | Wearable lower limb signal acquiring system for lower limb rehabilitation assessment | |
Prawiro et al. | A heart rate detection method for low power exercise intensity monitoring device | |
CN113017616B (en) | Wireless wearable gait signal monitoring system with analysis function | |
KR101817274B1 (en) | Apparatus for multi-sensor based wearable energy expenditure measurement device and method thereof | |
CN205658890U (en) | Intelligence wearing formula physique management system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20150624 |
|
WD01 | Invention patent application deemed withdrawn after publication |