CN108095692A - A kind of smart identity identifies Human fat balance - Google Patents
A kind of smart identity identifies Human fat balance Download PDFInfo
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- CN108095692A CN108095692A CN201711382507.8A CN201711382507A CN108095692A CN 108095692 A CN108095692 A CN 108095692A CN 201711382507 A CN201711382507 A CN 201711382507A CN 108095692 A CN108095692 A CN 108095692A
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- user
- foot
- impetus
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- shape
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/1036—Measuring load distribution, e.g. podologic studies
- A61B5/1038—Measuring plantar pressure during gait
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4869—Determining body composition
- A61B5/4872—Body fat
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements 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
- A61B5/6813—Specially adapted to be attached to a specific body part
- A61B5/6829—Foot or ankle
Abstract
The invention discloses a kind of smart identities to identify Human fat balance, including：Foot shape acquisition module, for gathering the shape of user's foot；Impetus acquisition module steps down in each impetus distribution and each impetus pressure value on scale for gathering user's foot；Bodily fat measurement module, for detecting the body fat of user；Data transmission module for being transferred to service terminal with the body fat of each impetus distribution, each impetus pressure value and the user that step down in the shape of user's foot, user's foot on scale, and is identified and is matched by service terminal.The present invention is capable of the identity information of the automatic identification user of various dimensions, and identification result accuracy rate is high, and identification process can be carried out synchronously with bodily fat measurement process, have it is simple to operate, it is time-consuming short, it is at low cost the advantages of.
Description
Technical field
The present invention relates to bodily fat measurement technical field more particularly to a kind of smart identity identification Human fat balances.
Background technology
With the development of the times, people increasingly pay close attention to personal health problem, and Determination of Total Body Fat decides whether people is fertile
It is fat, it is an important factor for influencing health.In the related art, generally use bioelectrical impedance analysis measurement body fat contains
Amount, bioelectrical impedance analysis are substantially to discharge weak current by electrode and induce current into vivo and measure impedance to calculate human body
Fat content.Such as Human fat balance, in use, the mistake of body fat weighing can be completed in the foot electrode zone of scale for people light requirement feet station
Journey；But existing low and middle-end Human fat balance mostly can only tie measurement after DATA REASONING is carried out due to cost limitation etc.
Fruit carries out manual user classification, exists and is unable to automatic identification user identity or the low success rate of problem of automatic identification, this to use
Family cannot get a series of complete personal fat content delta datas, leverage the integrality of healthy data and accurate
Property, reduce the satisfaction that people use product.
In recent years, with increase of the people to Human fat balance use demand, Human fat balance is in identification performance also continuous
It is perfect, some research staff design enables Human fat balance automatically accurately to know by functions such as speech recognition, recognitions of face
Other user identity is simultaneously together in series the data of corresponding user, but due to being related to the excessively high problem of cost, a big chunk is consumed
Person keeps outside of the door；User identity is more also identified by such as foot line and the long size of foot, as notification number is
The patent document of CN204948118U discloses a kind of " Human fat balance ", including：Wireless communication module, for the mobile end with user
End communicates, with the selection information for obtaining the attribute information of user and body fat whether being selected to detect, wherein, the attribute information
Identity information including user；Foot line identification module, for identifying the foot line of user on the Human fat balance；Body fat detects mould
Block, for detecting the body fat of user on the Human fat balance；The Human fat balance is capable of unlatching or the pass of intelligent control body fat detection function
It closes, but gathers foot line to identify user identity, it is long low with recognition accuracy to there is identification difficulty, recognition time under long-time service
Situation.
For another example the patent document of Publication No. CN107101706A discloses " a kind of user identification method and device and tool
Have the health scale of user identification function ", the method mainly includes selection step, for selecting in following recognition methods at least
One kind, until identifying particular user：Weight method of identification, time of measuring method of identification, upper scale duration method of identification, use habit identification
Method, left-right balance degree method of identification, impedance method of identification and communication identification method.It designs and has according to above-mentioned user identification method
There is the health scale of user identification function, can realize that user identifies by multiple features, so that user's recognition success rate higher,
But comparison method is complicated, takes longer.
Identification situation based on existing Human fat balance, it is a set of good with bodily fat measurement mechanism conformability that urgent need is designed, and knows
Other accuracy rate is high, and identification takes few automatic identification mechanism of Human fat balance.
The content of the invention
It being capable of automatic identification use the technical problem to be solved by the present invention is in view of the above shortcomings of the prior art, provide one kind
Family identity counts convenient for data filing, and recognition accuracy is high and identification process takes short, at low cost smart identity identification body fat
Scale.
To achieve these goals, the technical solution adopted by the present invention is：
A kind of smart identity identifies Human fat balance, including：
Foot shape acquisition module, for gathering the shape of user's foot；
Impetus acquisition module steps down in each impetus distribution and each impetus on scale for gathering user's foot
Pressure value；
Bodily fat measurement module, for detecting the body fat of user；
Data transmission module, for the shape of user's foot, user's foot are stepped down in each impetus distribution on scale,
Each impetus pressure value and the body fat of user are transferred to service terminal, and are identified and are matched by service terminal.
Further, the foot shape acquisition module includes：
Infrared detecting unit, for forming the infrared image of user's foot shape；
Camera unit, for shooting shape of the infrared image as user's foot.
Further, further include：
Memory module, for storing the shape of user's foot of the foot shape acquisition module acquisition and impetus acquisition
User's foot of module acquisition steps down in each impetus distribution and each impetus pressure value on scale.
Further, the memory module includes：
Judging unit, for the shape of user's foot gathered according to the foot shape acquisition module and impetus acquisition
Whether each impetus distribution and each impetus pressure value that user's foot of module acquisition is stepped down on scale judge the user
For the new user used for the first time.
Further, further include：
Identification module, for according to user's foot shape, user's foot step down in each impetus distribution on scale
User is identified with each impetus pressure value.
Further, further include：
Confirm module, for the identification module recognition result to be shown to user, and data life is carried out by user
Name or recognition result confirm.
Further, the impetus acquisition module includes multiple micro pressure sensors.
Further, the bodily fat measurement module includes：
Electrode unit, for the body fat according to electrode data and preset algorithm measuring and calculating user.
Further, the bodily fat measurement module further includes：
It weighs pressure sensitive unit, for the weight for weighing user and according to the weight of user, electrode data and pre- imputation
Method calculates the body fat of user.
Further, further include：
Control module, the control module respectively with the foot shape acquisition module, the impetus acquisition module, described
Bodily fat measurement module and the data transmission module are connected, the control module started according to the impetus acquisition module or
Closed state controls the startup or closing of the foot shape acquisition module.
After adopting the above technical scheme, the beneficial effects of the invention are as follows：It is capable of the identity information of automatic identification user, with
Just data are carried out with private customization filing and data statistic analysis, identification process is synchronous with bodily fat measurement process to be carried out, without
User additionally carries out being specifically used for the operation (such as speech recognition) of identification, has the advantages of simple to operate, time-consuming short；
It is used cooperatively by foot shape acquisition module and impetus acquisition module, advantageously ensures that identification result is more accurate, efficiency
Higher；By electrode unit and weigh pressure sensitive unit setting user body fat data accuracy higher, more
Meet the actual body fat content situation of user, be conducive to the formulation of accurately guiding people's health plan.
Description of the drawings
In order to illustrate the embodiments of the present invention more clearly or the technical solution of the prior art, attached drawing are as follows：
Fig. 1 is that the smart identity that the embodiment of the present invention 1 provides identifies Human fat balance structure diagram；
Fig. 2 is that the smart identity that the embodiment of the present invention 2 provides identifies Human fat balance structure diagram；
Fig. 3 is that the smart identity that the embodiment of the present invention 3 provides identifies Human fat balance structure diagram.
Specific embodiment
It is specific embodiments of the present invention and with reference to attached drawing below, technical scheme is further described,
But the present invention is not limited to these embodiments.
With the development of the times, people increasingly pay close attention to personal health problem, and Human fat balance is exactly by detecting human body body fat
One of the approach of content to monitor health.After existing most of Human fat balances have surveyed the data that body fat receives every time, no matter
Be that user uses or reuse for the first time all it is that manual classification is needed to identify, it is same can not accomplishes that automatic identification test data facilitates
The direct classification of one user data, it is seen that Human fat balance intelligence degree has much room for improvement at present；In addition, also there are some high-end series
Human fat balance can realize the identification of user identity by way of recognition of face or speech recognition, but this kind of Human fat balance is consumed
The cost is relatively high, and operating process and bodily fat measurement process degree of cooperation be not high, and user is needed by using bodily fat measurement mistake
Identification is realized in the additional operation of journey, and operating process not enough simplifies not convenient enough.
The present invention is unable to automatic identification subscriber identity information for Human fat balance in the prior art or identification process operation is inadequate
The problem of convenient, proposes a kind of can accurately judge that institute's measured data corresponds to user identity and the low Human fat balance of consumer cost.
Embodiment 1
As shown in Figure 1, the present embodiment provides a kind of smart identities to identify Human fat balance, including：
Foot shape acquisition module 100, for gathering the shape of user's foot；
The shape of the foot of different people is not quite similar, by the shape data that foot is got in body fat weighing process, you can point
Distinguish user identity, in daily use of households, the identical probability of shape of kinsfolk's foot is less, therefore, only passes through foot shape
The acquisition of shape acquisition module 100 can just substantially meet daily use of households；Specifically, infrared imagery technique acquisition foot can be used
Shape, after collecting foot shape, foot shape is compared with foot shape present in database, if database existence anduniquess is identical
Foot graphic data then compares success, and identification terminates, wherein, the data in database are by user for the first time using the present embodiment
It is preserved during product.
Impetus acquisition module 200 steps down in each impetus distribution on scale and each for gathering user's foot
Force pressure value；
Different people's stances is different, and weight distribution is also different, so scale plane is generated when everyone foot is stepped down on scale
Stressing conditions are different, and impetus acquisition module 200 is exactly to gather this difference as foundation to distinguish user identity, wherein, it
Force is exactly foot and each pressure spot of scale plane contact when foot is stepped down on scale, and each impetus distribution includes each putting forth effort
The overall distribution relation data of spot size size data and all impetus；
It should be noted that the startup or closed state of both foot shape acquisition module 100 and impetus acquisition module 200
Adjustable, when the two starts simultaneously, the boot sequence of the two can be arranged to fixed immutable, and can also be arranged to can basis
Practice scene carry out order change, to set the acquisition number of faster identification user identity according to user's self-demand
According to pattern.
Foot shape acquisition module 100 is set just to start to work after the startup of impetus acquisition module 200 in the present embodiment, i.e.,
When people's foot is stepped down on scale, impetus acquisition module 200 starts first, and acquisition user's foot steps down in each impetus distribution on scale
Then scope and each impetus pressure value trigger foot shape acquisition module 100 and start, gather the shape of user's foot；So as to root
Aggregation of data, various dimensions the identification user identity gathered according to foot shape acquisition module 100 and impetus acquisition module 200 is believed
Breath reduces the identification error that the stance minor alteration of identical people is brought, and improves recognition accuracy and success rate.
Bodily fat measurement module 300, for detecting the body fat of user；Specifically, realized using bioelectrical impedance analysis.
Data transmission module 400, for the shape of user's foot, user's foot to be stepped down in the distribution model of each impetus on scale
Enclose, the body fat of each impetus pressure value and user are transferred to service terminal, and are identified and are matched by service terminal,
Wherein it is preferred to the data transmission module 400 transmits related data by the way of wireless transmission to service terminal.
After both foot shape acquisition module 100 and impetus acquisition module 200 gathered data, data transmission can be passed through
Module 400 transfers data to service terminal (such as database or mobile terminal), to seek better recognizer and bigger
Data analysis capabilities, so as to improve the accuracy rate of identification process；
Such as data transmission module 400 first each is puted forth effort what the shape of the user's foot collected, user's foot stepped down on scale
Point distribution, each impetus pressure value data transmission to database, after database analysis identifies, recognition result is passed
Back to the Human fat balance of the present embodiment, when Human fat balance can identify successfully in the recognition result of reception, then by the user's detected
Body fat is sent to database, the body fat of the user is fitted under the data list that it had originally possessed；It needs to illustrate
, the body fat data of user can step down in each impetus distribution on scale, each with the shape of user's foot, user's foot
A impetus pressure Value Data is sent to database simultaneously, reduces database and interacts journey with Human fat balance；Human fat balance can also receive
Recognition result when being recognition failures, notify that user measures again or notification database preserves lower data as new user data
And inform that user carries out numerical nomenclature and secret protection password setting etc. to data.
In addition it is also necessary to explanation, foot shape acquisition module 100 in the present embodiment, impetus acquisition module 200 and
Bodily fat measurement module 300 is distributed in same weight-bearing areas so that when people's foot, which steps down in, to be received to weigh in weight-bearing areas, Yong Hushen
Part identification process and bodily fat measurement process can be carried out synchronously, therefore simplify user identity identification process, easy to operate simple,
Identification process and bodily fat measurement process synchronism higher, measurement is time-consuming shorter, more efficient.
Embodiment 2
As shown in Fig. 2, the present embodiment is with embodiment 1, difference lies in the present embodiment provides more detailed, at low cost
Smart identity identifies Human fat balance, and the foot shape acquisition module 100 includes：
Infrared detecting unit 110, for forming the infrared image of user's foot shape；The infrared detecting unit 110 includes
Infrared radiation thermometer.
Camera unit 120, for shooting shape of the infrared image as user's foot.The camera unit 120 includes
Micro-camera.
Specifically, when impetus acquisition module 200 is experienced pressure and is acquired, triggering infrared radiation thermometer starts, red
Outer temperature measurer can detect the infrared signal of people's foot according to the foot temperature of human body, after the infrared signal of people's foot is detected, according to people
The infrared ray that foot has temperature region to send forms infrared image, which can show the feelings that people's foot has temperature region to be distributed
Condition, that is, the appearance profile of foot after forming infrared image, start micro-camera and lead to the infrared image that infrared radiation thermometer is formed
It crosses shooting to record, i.e., the shape of user's foot is got by shooting, then by data transmission module 400 by data transmission
To database, either mobile terminal database or mobile terminal match the data received and the identification of existing comparing
Corresponding user identity.
Further, the smart identity identification Human fat balance of the present embodiment further includes：
Memory module 500, for storing the shape for user's foot that the foot shape acquisition module 100 gathers and described putting forth effort
User's foot that point acquisition module 200 gathers steps down in each impetus distribution and each impetus pressure value on scale.
The memory module 500 includes：
Judging unit 510 for the shape of user's foot that is gathered according to the foot shape acquisition module 100 and described is puted forth effort
The each impetus distribution and each impetus pressure value that user's foot that point acquisition module 200 gathers is stepped down on scale judge should
Whether user is the new user used for the first time.
The foot shape acquisition module 100 of the present embodiment includes infrared detecting unit 110 and camera unit 120,
After camera unit 120 and impetus acquisition module 200 collect corresponding data, judging unit 510 is according to these
Data are compared with data existing for memory module 500, so as to judge whether the corresponding user of these data is to use for the first time
New user；
When the data that these data that can be found with collect in memory module 500 are identical, judging unit 510 is sentenced
Disconnected the user is not the new user used for the first time, will trigger data transport module 400 by the shape of the user's foot collected, use
The body fat of each impetus distribution, each impetus pressure value and user that family foot is stepped down on scale are transferred to database
Or mobile terminal；
When the data that these data that can not be found with collect in memory module 500 are identical, judging unit 510
Judge the user be use for the first time new user (when memory module 500 does not have data, judging unit 510 judge the user be just
The secondary new user used), memory module 500 will store the infrared image that the camera unit 120 shoots and described
User's foot that force acquisition module 200 gathers steps down in each impetus distribution and each impetus pressure value on scale, i.e.,
The data preserved in the memory module 500 of the present embodiment are all that the foot shape of the user for the Human fat balance for using the present embodiment is infrared
The each impetus distribution of image, foot and each impetus pressure value.
Embodiment 3
As shown in figure 3, difference lies in, the memory module 500 based on embodiment 2, this implementations for the present embodiment and embodiment 2
Example, which provides one kind, has local identity just identification function, the more rigorous smart identity identification Human fat balance of identification process, it is preferable that go back
Including：
Identification module 600, for according to user's foot shape, user's foot steps down in each impetus on scale and is distributed model
It encloses and identifies different user with each impetus pressure value, and corresponding data are referred under corresponding user data, be shown to visitor
Family.Algorithm in identification module 600 is more increasingly complex than the algorithm in judging unit 510, the accurate precision higher of algorithm, identification
When, first judge whether people steps down in each impetus distribution on scale identical, if body fat claims each impetus distribution
It is identical, then judge whether the proportionate relationship of each impetus pressure value size is identical；Identification module 600 is arranged on this implementation
In the Human fat balance of example, data separation gathered data and storage number in memory module 500 can be transferred when people's foot is stepped down on scale
It according to existing nuance, is just identified so as to fulfill local identity, recognition result is there are the use that during identical data, will be detected
Family body fat is saved under corresponding user data, and recognition result is there is no during identical data, and memory module 500 preserves lower user
The each impetus distribution and each impetus pressure value that the shape of foot, user's foot are stepped down on scale are to establish new user data
The convenient identification below of table is sorted out；The setting of identification module 600 can reduce information interactive process, improve the present embodiment
Human fat balance work efficiency.
Selecting module is further included, for providing the option identified on local identification and line to the user, wherein, locally it is identified as
Different user is identified using identification module 600, and corresponding data are referred under corresponding user data；It is identified as on line
After transferring data to database or mobile terminal using data transmission module 400, user is carried out by database or mobile terminal
Identification and data are sorted out.
Further, further include：
Confirm module 700, for 600 recognition result of identification module to be shown to user, and carried out by user
Numerical nomenclature or recognition result confirm.I.e. when recognition result is drawn, data classification is not directly carried out by identification module 600
Processing, but be there is no during identical data in recognition result, first pops up numerical nomenclature and privacy cryptoguard window, so as to
The space that family names a data name that oneself can be identified and sets the personnel for just knowing that close guarantor that can just check, it is convenient
It later stage personal data quick calling and checks；In recognition result for there are during identical data, show these data meaning user's
Body fat data, so that whether user's confirmation and feedback identification process are correct.
Further, the impetus acquisition module 200 includes multiple micro pressure sensors 210.Multiple micro pressures
The regular arrangement on scale of sensor 210 applies stressed situation according to people's foot and collects user's foot stepping down on scale on it
Each impetus distribution and each impetus corresponding pressure value size.
Further, the bodily fat measurement module 300 includes：
Electrode unit 310, for the body fat according to electrode data and preset algorithm measuring and calculating user.The electrode unit
310 include foot's electrode slice and hand-held electrode bar.
Further, the bodily fat measurement module 300 further includes：
It weighs pressure sensitive unit 320, for the weight that weighs user and according to the weight of user, electrode data and default
Algorithm calculates the body fat of user.The pressure sensitive unit 320 of weighing includes pressure sensor of weighing.
Further, further include：
Control module 800, the control module 800 gather respectively with the foot shape acquisition module 100, the impetus
Module 200, the bodily fat measurement module 300 and the data transmission module 400 are connected, and the control module 800 is according to institute
State that impetus acquisition module 200 starts or closed state controls the startup or closing of the foot shape acquisition module 100；Specifically
Ground, after the impetus acquisition module 200 starts, the foot shape acquisition module 100 can just start.The control module 800
For MCU module.
Power module, for entire Human fat balance to be given to power.
To sum up, smart identity identification body fat weighing-appliance provided in this embodiment has the selection of dual identity identification selection, Neng Gouman
The different demands of sufficient different user quantity, private customizing degree is high, the DATA REASONING accuracy higher of the body fat of user, more
Meet the actual body fat content situation of user, additionally with simple to operate, identification process takes the advantages of short.
Specific embodiment described herein is only to spirit explanation for example of the invention.Technology belonging to the present invention is led
The technical staff in domain can do various modifications or additions to described specific embodiment or replace in a similar way
Generation, but without departing from spirit of the invention or beyond the scope of the appended claims.
Claims (10)
1. a kind of smart identity identifies Human fat balance, which is characterized in that including：
Foot shape acquisition module, for gathering the shape of user's foot；
Impetus acquisition module, for gathering each impetus distribution that user's foot stepped down on scale and each putting forth effort point pressure
Value；
Bodily fat measurement module, for detecting the body fat of user；
Data transmission module, for the shape of user's foot, user's foot to be stepped down in each impetus distribution on scale, each
Impetus pressure value and the body fat of user are transferred to service terminal and are identified by service terminal and are matched.
A kind of 2. smart identity identification Human fat balance according to claim 1, which is characterized in that the foot shape acquisition module
Including：
Infrared detecting unit, for forming the infrared image of user's foot shape；
Camera unit, for shooting shape of the infrared image as user's foot.
3. a kind of smart identity identification Human fat balance according to claim 1 or 2, which is characterized in that further include：
Memory module, for storing the shape of user's foot of the foot shape acquisition module acquisition and the impetus acquisition module
User's foot of acquisition steps down in each impetus distribution and each impetus pressure value on scale.
4. a kind of smart identity identification Human fat balance according to claim 3, which is characterized in that the memory module includes：
Judging unit, for the shape of user's foot gathered according to the foot shape acquisition module and the impetus acquisition module
The each impetus distribution and each impetus pressure value that user's foot of acquisition is stepped down on scale judge whether the user is just
The secondary new user used.
5. a kind of smart identity identification Human fat balance according to claim 1, which is characterized in that further include：
Identification module, for according to user's foot shape, user's foot step down in each impetus distribution on scale and each
A impetus pressure value identifies user.
6. a kind of smart identity identification Human fat balance according to claim 5, which is characterized in that further include：
Confirm module, for the identification module recognition result to be shown to user, and by user carry out numerical nomenclature or
Recognition result confirms.
A kind of 7. smart identity identification Human fat balance according to claim 1, which is characterized in that the impetus acquisition module
Including multiple micro pressure sensors.
A kind of 8. smart identity identification Human fat balance according to claim 1, which is characterized in that the bodily fat measurement module bag
It includes：
Electrode unit, for the body fat according to electrode data and preset algorithm measuring and calculating user.
9. a kind of smart identity identification Human fat balance according to claim 8, which is characterized in that the bodily fat measurement module is also
Including：
It weighs pressure sensitive unit, by weighing based on the weight of user and the weight, electrode data and preset algorithm according to user
Calculate the body fat of user.
10. a kind of smart identity identification Human fat balance according to claim 1, which is characterized in that further include：
Control module, the control module respectively with the foot shape acquisition module, the impetus acquisition module, the body fat
Measurement module and the data transmission module are connected, and the control module starts or closes according to the impetus acquisition module
State controls the startup or closing of the foot shape acquisition module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711382507.8A CN108095692A (en) | 2017-12-20 | 2017-12-20 | A kind of smart identity identifies Human fat balance |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711382507.8A CN108095692A (en) | 2017-12-20 | 2017-12-20 | A kind of smart identity identifies Human fat balance |
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| Publication Number | Publication Date |
|---|---|
| CN108095692A true CN108095692A (en) | 2018-06-01 |
Family
ID=62211373
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
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| CN201711382507.8A Withdrawn CN108095692A (en) | 2017-12-20 | 2017-12-20 | A kind of smart identity identifies Human fat balance |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108917899A (en) * | 2018-06-27 | 2018-11-30 | 四川斐讯信息技术有限公司 | A kind of body fat body weight measurement and system |
| CN109350058A (en) * | 2018-12-10 | 2019-02-19 | 广州瘦吧网络科技有限公司 | With identification Human fat balance |
| CN111048197A (en) * | 2018-10-11 | 2020-04-21 | 丽宝大数据股份有限公司 | User automatic identification method of body fat meter |
| CN111121940A (en) * | 2020-03-31 | 2020-05-08 | 芯海科技（深圳）股份有限公司 | Electronic scale, detection method and computer readable storage medium |
| CN113486704A (en) * | 2021-05-18 | 2021-10-08 | 贵州正航众联电力建设有限公司 | Power distribution room operator identity verification system |
-
2017
- 2017-12-20 CN CN201711382507.8A patent/CN108095692A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108917899A (en) * | 2018-06-27 | 2018-11-30 | 四川斐讯信息技术有限公司 | A kind of body fat body weight measurement and system |
| CN111048197A (en) * | 2018-10-11 | 2020-04-21 | 丽宝大数据股份有限公司 | User automatic identification method of body fat meter |
| CN109350058A (en) * | 2018-12-10 | 2019-02-19 | 广州瘦吧网络科技有限公司 | With identification Human fat balance |
| CN111121940A (en) * | 2020-03-31 | 2020-05-08 | 芯海科技（深圳）股份有限公司 | Electronic scale, detection method and computer readable storage medium |
| CN113486704A (en) * | 2021-05-18 | 2021-10-08 | 贵州正航众联电力建设有限公司 | Power distribution room operator identity verification system |
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