CN107517434A - A kind of method and system of Weight-detecting device identification user - Google Patents
A kind of method and system of Weight-detecting device identification user Download PDFInfo
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- CN107517434A CN107517434A CN201710638456.4A CN201710638456A CN107517434A CN 107517434 A CN107517434 A CN 107517434A CN 201710638456 A CN201710638456 A CN 201710638456A CN 107517434 A CN107517434 A CN 107517434A
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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
- G01G19/50—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons having additional measuring devices, e.g. for height
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- 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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W8/00—Network data management
- H04W8/005—Discovery of network devices, e.g. terminals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/023—Services making use of location information using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
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Abstract
The invention discloses the method and system of Weight-detecting device identification user a kind of, misclassification rate higher the problem of single to solve existing identification technology recognition factor.This method includes：S1, generation detection data；S2, judge whether can be by bluetooth recognition user, if so, the detection data are sent to corresponding intelligent terminal, if it is not, into step S3；S3, judge whether that data similarity identification user can be detected by comparing history, if so, the detection data are sent to corresponding intelligent terminal.The method claimed the method for data compared with user or logged in, the present invention is more convenient, and Consumer's Experience is more preferable, and compared with monolithic entity weight similarity identification, discrimination and accuracy of identification are higher.
Description
Technical field
The present invention relates to health detection field, more particularly to the method and system of Weight-detecting device identification user a kind of.
Background technology
Weight-detecting device generally has multiple users and used in the detection.Produce data when can face Multi-user recognition and
The problem of management.
Traditional approach has two kinds：
First, being logged in when using electronic scale every time in present equipment, this mode user is cumbersome, if
User is changed, data entanglement can be caused by forgetting to log in again；
Second, data are issued all users by electronic scale, allow user oneself to claim, the problem of this mode is present be if
User is claimed with forgeing, and can cause the loss of data, and other users are caused to perplex.
Prior art carries out the scheme of user's identification according to the history body weight of user, and defect is that recognition factor is single, is held very much
Easily there is user similar in more individual weights while use an equipment, at this time misclassification rate is higher.
Publication No. CN103263294A patent provides a kind of health index parameters detector, detection means and detection
System, the health index parameters detector include measurement module, two-dimensional code generation module, display module, the health indicator
Parameter detection device includes the health index parameters detector and mobile terminal, and the mobile terminal includes reading unit, solution
Analysis unit and display unit, the health index parameters detecting system include authentication module and database.The invention provides
Health index parameters detector, detection means and detecting system can be easily by health index parameters information transfer to mobile phone
Deng mobile device, shown using Quick Response Code and the technology such as encrypted authentication make it that health index parameters information is safer, protected
Privacy of user.But the invention is needed by two-dimensional code scanning, complex operation.
The content of the invention
The technical problem to be solved in the present invention purpose is to provide the method for Weight-detecting device identification user a kind of and is
System, misclassification rate higher the problem of single to solve existing identification technology recognition factor.
To achieve these goals, the technical solution adopted by the present invention is：
A kind of method of Weight-detecting device identification user, including step：
S1, generation detection data；
S2, judge whether can by bluetooth recognition user, if so, by it is described detection data send to it is corresponding intelligence eventually
End, if it is not, into step S3；
S3, judge whether that data similarity identification user can be detected by comparing history, if so, the detection data are sent out
Deliver to corresponding intelligent terminal.
Further, it is described to judge whether by bluetooth recognition user to include in step S2：
Scan the blue-tooth intelligence terminal in pre-determined distance；
Blue-tooth intelligence terminal is judged whether, if it is not, judging that bluetooth recognition user can not be passed through；
If blue-tooth intelligence terminal be present, further determine whether multiple blue-tooth intelligence terminals be present, if it is not, being judged to leading to
Cross bluetooth recognition user；
If multiple blue-tooth intelligence terminals be present, the signal strength values of the plurality of blue-tooth intelligence terminal are calculated；
Determine whether that unique signal strength values match with preset signal strength value, if so, being judged to that bluetooth can be passed through
User is identified, otherwise, it is determined that for bluetooth recognition user can not be passed through.
Further, it is described to send the detection data to before corresponding intelligent terminal in step S2, in addition to：
Pass through bluetooth connection with the intelligent terminal of user；
The signal strength values for setting the intelligent terminal are the preset signal strength value.
Further, it is described to judge whether that data similarity identification user bag is detected by comparing history in step S3
Include：
Judge whether the similarity of the detection data and history detection data is more than predetermined threshold value, if so, being then determined as
Data similarity identification user can be detected by comparing history.
Further, the history detection data include history body weight value, history body fat value and/or history bone value.
A kind of system of Weight-detecting device identification user, including：
Generation module, data are detected for generating；
Bluetooth recognition module, for judge whether can by bluetooth recognition user, if so, by it is described detection data send to
Corresponding intelligent terminal；
Similarity identification module, for judging whether that data similarity identification user can be detected by comparing history, if so,
Then it is judged to that data similarity identification user can be detected by comparing history.
Further, the bluetooth recognition module includes：
Scanning element, for scanning the blue-tooth intelligence terminal in pre-determined distance；
First judging unit, for judging whether blue-tooth intelligence terminal, if it is not, judging to use by bluetooth recognition
Family；
Second judging unit, if for blue-tooth intelligence terminal be present, further determine whether multiple blue-tooth intelligences ends be present
End, if it is not, judging that bluetooth recognition user can be passed through；
Computing unit, if for multiple blue-tooth intelligence terminals be present, calculate the signal intensity of the plurality of blue-tooth intelligence terminal
Value；
3rd judging unit, for determining whether that unique signal strength values match with preset signal strength value, if so,
Judgement can be by bluetooth recognition user, otherwise, it is determined that can not pass through bluetooth recognition user.
Further, the bluetooth recognition module also includes：
Connection unit, pass through bluetooth connection for the intelligent terminal with user；
Setting unit, the signal strength values for setting the intelligent terminal are preset signal strength value.
Further, the similarity identification module includes：
Comparing unit, for judging whether the similarity of the detection data and history detection data is more than predetermined threshold value,
If so, the detection data are sent to corresponding intelligent terminal.
Further, the history detection data of the comparing unit include history body weight value, history body fat value and/or history
Bone value.
It is of the invention compared with traditional technology, have the following advantages：
The method claimed the method for data compared with user or logged in, the present invention is more convenient, and Consumer's Experience is more preferable, compared with
Monolithic entity weight similarity identification, discrimination and accuracy of identification are higher.
Brief description of the drawings
Fig. 1 is a kind of method flow diagram for Weight-detecting device identification user that embodiment one provides；
Fig. 2 is a kind of system construction drawing for Weight-detecting device identification user that embodiment one provides；
Fig. 3 is a kind of method flow diagram for Weight-detecting device identification user that embodiment two provides；
Fig. 4 is a kind of system construction drawing for Weight-detecting device identification user that embodiment two provides；
Fig. 5 is a kind of method flow diagram for Weight-detecting device identification user that embodiment three provides；
Fig. 6 is a kind of system construction drawing for Weight-detecting device identification user that embodiment three provides.
Embodiment
It is the specific embodiment of the present invention and with reference to accompanying drawing below, technical scheme is further described,
But the present invention is not limited to these embodiments.
Embodiment one
A kind of method of Weight-detecting device identification user is present embodiments provided, as shown in figure 1, including step：
S11：Generation detection data；
S12：Judging whether can be by bluetooth recognition user, if so, detection data are sent to corresponding intelligent terminal；If
It is no, into step S13；
S13：Judge whether that data similarity identification user can be detected by comparing history, if so, detection data are sent
To corresponding intelligent terminal.
Weight-detecting device includes the equipment such as Human fat balance, electronic scale.
Existing weighing technique needs user to obtain data message manually, for example, logging in or passing through intelligence in intelligent terminal
The mode of energy terminal scanning Quick Response Code obtains data message.This mode, which operates, is easily caused asking for data entanglement or loss of data
Topic.
The present embodiment provides a series of identification automation schemes and is used for solving multi-user's use and problem of management.Compare
Traditional approach has more preferable Consumer's Experience and service efficiency.
The identification for the method that the present embodiment provides includes two ways：First, the body data feature pair according to user
User identity is identified, and intelligence records measurement data；Second, blue-tooth intelligence terminal is coordinated to carry out identification.
The general principle that body data similarity compares is according to the history of different user measurement record and newly collected
Data are compared, because most of body data short time will not change too greatly, according to similar between certain body data
Degree judges, it may be determined that this new data most likely belongs to user.Body data species is more, and final result is more accurate.
By bluetooth signal intensity judging distance, identification judges that the principle of gauger's identity is：Blue-tooth intelligence equipment connects
When can obtain signal strength values RSSI, in the case where environment is certain, signal attenuation factor variations are little, between intelligent terminal
Apart from when can according to signal strength values RSSI calculate.The intelligent terminal of user can match body weight detection dress in detection
Put, Weight-detecting device goes out the user identity measured by Distance Judgment.
In the present embodiment, step S11 is generation testing number evidence.
Specifically, after Weight-detecting device detects that user is detected, the detection data of user are generated.
Step S12 is judge whether can be by bluetooth recognition user, if so, detection data are sent to pair in the present embodiment
The intelligent terminal answered.
Specifically, user data identification is divided into two processes, this step realizes first process, and bluetooth assists in identifying.When
Produce detection data after, Weight-detecting device judge can by bluetooth recognition user, if can by bluetooth recognition user,
Detection data are sent to corresponding intelligent terminal.That is, the current intelligent terminal with body weight energy detection means bluetooth connection.
In the present embodiment, if step S13 is that can not judge whether detect by contrasting history by bluetooth recognition user
Data similarity is by user, if so, detection data are sent to corresponding intelligent terminal.
Specifically, this step is the second step of user data identification, if bluetooth assists in identifying failure, history is carried out
Similarity identification.Current detection data are compared with historical data, used if data similarity identification can be detected by history
Family, then it is judged to identifying successfully, detection data is sent similar to historical data to corresponding intelligent terminal, i.e., current similarity
Intelligent terminal.
By bluetooth assist in identifying with history similarity identification, be automatically as long as any one identifies that successfully can reaches
The purpose of quilt, if all failed, it is put into the flow that user claims data manually.Identification method is more intelligent, and more smart
Standard, the problem of avoiding misrecognition.
The present embodiment additionally provides a kind of system of Weight-detecting device identification user, as shown in Fig. 2 including：
Generation module 21, data are detected for generating；
Bluetooth recognition module 22, for judge whether can by bluetooth recognition user, if so, by detection data send to right
The intelligent terminal answered；
Similarity identification module 23, for judging whether that data similarity identification user can be detected by comparing history, if
It is to send detection data to corresponding intelligent terminal.
In the present embodiment, generation module 21 is used to generate detection data.
Specifically, after Weight-detecting device detects that user is detected, generation module 21 generates the detection data of user.
In the present embodiment, bluetooth recognition module 22 is used to judging whether can be by bluetooth recognition user, if so, by testing number
According to being sent to corresponding intelligent terminal.
Specifically, after detection data are produced, can bluetooth recognition module 22 judges by bluetooth recognition user, if can
By bluetooth recognition user, then detection data are sent to corresponding intelligent terminal.That is, currently with body weight energy detection means bluetooth
The intelligent terminal of connection.
In the present embodiment, similarity identification module 23 be used for judge whether can by contrast history detect data similarity be
By user, if so, detection data are sent to corresponding intelligent terminal.
Specifically, if the recognition failures of bluetooth recognition module 22, carry out history similarity identification.Similarity identification module 23
Current detection data are compared with historical data, if data similarity identification user can be detected by history, are determined as
Identify successfully, detection data are sent to corresponding intelligent terminal, i.e., the current similarity intelligent terminal similar to historical data.
A kind of intelligent decision user identity of energy, realizes that Weight-detecting device used in the systemic-function that the present embodiment provides
Multi-user's automatic identification in journey.The similarity identification of body historical data is technically applied, bluetooth detection assists in identifying
Method, misrecognition is reduced, it is more intelligent.
Embodiment two
A kind of method of Weight-detecting device identification user is present embodiments provided, as shown in figure 3, including step：
S31：Generation detection data；
S32：Pass through bluetooth connection with the intelligent terminal of user；
S33：The signal strength values for setting intelligent terminal are preset signal strength value；
S34：Scan the blue-tooth intelligence terminal in pre-determined distance；
S35：Blue-tooth intelligence terminal is judged whether, if it is not, be determined as can not be by bluetooth recognition user；
S36：If blue-tooth intelligence terminal be present, further determine whether multiple blue-tooth intelligence terminals be present, if it is not, being determined as
Bluetooth recognition user can be passed through；
S37：If multiple blue-tooth intelligence terminals be present, the signal strength values of the plurality of blue-tooth intelligence terminal are calculated；
S38：Determine whether that unique signal strength values match with preset signal strength value, if so, being judged to passing through
Bluetooth recognition user, otherwise, it is determined that for bluetooth recognition user can not be passed through；
S39：If detection data can be sent to corresponding intelligent terminal by bluetooth recognition user；
S40：If it by bluetooth recognition user can not judge whether that data similarity identification use can be detected by comparing history
Family, if so, detection data are sent to corresponding intelligent terminal.
The present embodiment is with the difference of embodiment one, sends detection data to corresponding intelligence eventually in step S12
Also include step S32~step S33 before end；Judge whether that step can be specifically included by bluetooth recognition user in step S12
S34~step S38.
Specifically, can to obtain signal strong for Weight-detecting device when intelligent terminal passes through bluetooth connection with Weight-detecting device
Angle value RSSI, signal strength values RSSI is set to preset signal strength value RSSI.
Blue-tooth intelligence terminal in Weight-detecting device scanning pre-determined distance, first judge whether to scan to blue-tooth intelligence end
End, if one does not all have, being determined as can not be by bluetooth recognition user；If blue-tooth intelligence terminal is arrived in scanning, further sentence
Surely it whether there is multiple blue-tooth intelligence terminals, if only scanning to a blue-tooth intelligence terminal, be judged to that bluetooth recognition can be passed through
User, the blue-tooth intelligence terminal are default blue-tooth intelligence terminal.
If multiple blue-tooth intelligence terminals are arrived in scanning, the signal strength values RSSI of blue-tooth intelligence terminal is calculated.Judge whether only
The signal strength values RSSI for having a blue-tooth intelligence terminal matches with preset signal strength value RSSI, if so, being judged to passing through
Bluetooth recognition user；If having, the signal strength values RSSI of multiple blue-tooth intelligence terminals is similar, all with preset signal strength value RSSI
The match is successful, then being determined as can not be by bluetooth recognition user.
After can be by bluetooth recognition user, detection data be sent to identifying successful intelligent terminal.
If the step of history detects data similarity identification can not be further compared by bluetooth recognition user.
There are multiple users to carry intelligent terminal and examined apart from body weight if user does not carry intelligent terminal, or during measurement
The position for surveying device is more or less the same, and can influence the judgement of bluetooth recognition flow, and data similarity identification flow is detected into history.
In the case where multiple users meet bluetooth recognition requirement, carrying out history detection data similarity identification can be to user scope
Once simplified.
The present embodiment additionally provides a kind of system of Weight-detecting device identification user, as shown in figure 4, including：
Generation module 41, data are detected for generating；
Bluetooth recognition module 42, for judge whether can by bluetooth recognition user, if so, by detection data send to right
The intelligent terminal answered；
Similarity identification module 43, for judging whether that data similarity identification user can be detected by comparing history, if
It is to send detection data to corresponding intelligent terminal.
It is that bluetooth recognition module 42 includes with the difference of embodiment one：
Connection unit 42a, pass through bluetooth connection for the intelligent terminal with user；
Setting unit 42b, the signal strength values for setting intelligent terminal are preset signal strength value；
Scanning element 42c, for scanning the blue-tooth intelligence terminal in pre-determined distance；
First judging unit 42d, for judging whether blue-tooth intelligence terminal, if it is not, being judged to that bluetooth can not be passed through
Identify user；
Second judging unit 42e, if for blue-tooth intelligence terminal be present, further determine whether multiple blue-tooth intelligences be present
Terminal, if it is not, be determined as can be by bluetooth recognition user；
Computing unit 42f, if for multiple blue-tooth intelligence terminals be present, the signal for calculating the plurality of blue-tooth intelligence terminal is strong
Angle value；
3rd judging unit 42g, for determining whether that unique signal strength values match with preset signal strength value, if
It is that be determined as can be by bluetooth recognition user, otherwise, it is determined that can not to pass through bluetooth recognition user.
Specifically, Weight-detecting device when intelligent terminal passes through bluetooth connection with Weight-detecting device in connection unit 42a
Signal strength values RSSI can be obtained, signal strength values RSSI is set to preset signal strength value RSSI by setting unit 42b.
Blue-tooth intelligence terminal in scanning element 42c in Weight-detecting device scanning pre-determined distance, the first judge module 42d
First judge whether to scan and arrive blue-tooth intelligence terminal, if one does not all have, being determined as can not be by bluetooth recognition user；If sweep
Blue-tooth intelligence terminal is retouched, the second judging unit 42e then further determines whether multiple blue-tooth intelligence terminals be present, if only scanning
To a blue-tooth intelligence terminal, then being determined as can be by bluetooth recognition user, and the blue-tooth intelligence terminal is that default blue-tooth intelligence is whole
End.
If multiple blue-tooth intelligence terminals are arrived in scanning, computing unit 42f calculates the signal strength values RSSI of blue-tooth intelligence terminal.
3rd judging unit 42g judges whether the signal strength values RSSI and preset signal strength value of only one blue-tooth intelligence terminal
RSSI is matched, if so, be determined as can be by bluetooth recognition user；If there are the signal strength values RSSI phases of multiple blue-tooth intelligence terminals
Seemingly, all the match is successful with preset signal strength value RSSI, then being determined as can not be by bluetooth recognition user.
Weight-detecting device will detect data and send to can be by the intelligent terminal of bluetooth recognition user, if without can pass through
The intelligent terminal of bluetooth recognition user, then carry out further similarity identification.
Embodiment three
A kind of method of Weight-detecting device identification user is present embodiments provided, as shown in figure 5, including step：
S51：Generation detection data；
S52：Judging whether can be by bluetooth recognition user, if so, detection data are sent to corresponding intelligent terminal；
S53：If can not be by bluetooth recognition user, whether the similarity for judging to detect data and history detection data be more than
Predetermined threshold value, if so, being then judged to that data similarity identification user can be detected by comparing history.
Wherein, history detection data include history body weight value, history body fat value and/or history bone value.
It is with the difference of embodiment one, in step S13, judges whether that data similarity can be detected by comparing history
Identification user includes：Whether the similarity for judging to detect data and history detection data is more than predetermined threshold value, if more than default threshold
Value, is determined as similar with default detection data, will detect data and send to the intelligent terminal of approx imately-detecting data.If it is less than or waits
In predetermined threshold value, it is determined as that default detection data are dissimilar, enters the flow that access customer claims data manually.
If automatic identification can not all identify success, now user is needed to claim data manually.Improve security.
The present embodiment additionally provides a kind of system of Weight-detecting device identification user, as shown in fig. 6, including：
Generation module 61, data are detected for generating；
Bluetooth recognition module 62, for judge whether can by bluetooth recognition user, if so, by detection data send to right
The intelligent terminal answered；
Similarity identification module 63, if for that can not judge whether examine by comparing history by bluetooth recognition user
Data similarity identification user is surveyed, if so, being then judged to that data similarity identification user can be detected by comparing history.
It is that similarity identification module 63 includes with the difference of embodiment one：
Whether comparing unit 63a, the similarity for judging to detect data and history detection data are more than predetermined threshold value, if
It is to send detection data to corresponding intelligent terminal.
Specifically, whether the similarity that comparing unit 63a judges to detect data and history detection data is more than predetermined threshold value,
If being more than predetermined threshold value, be determined as it is similar to default detection data, by detect data send to approx imately-detecting data intelligence eventually
End.If being less than or equal to predetermined threshold value, it is determined as that default detection data are dissimilar, enters the flow that access customer claims data manually.
When bluetooth recognition and similarity identification can not all succeed, user needs to read data manually.Improve safety
Property, avoid the leakage of privacy.
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 be made various modifications or supplement to described specific embodiment or be replaced using similar mode
Generation, but without departing from the spiritual of the present invention or surmount scope defined in appended claims.
Claims (10)
- A kind of 1. method of Weight-detecting device identification user, it is characterised in that including step：S1, generation detection data；S2, judge whether can by bluetooth recognition user, if so, by it is described detection data send to corresponding intelligent terminal, if It is no, into step S3；S3, judge whether can by compare history detect data similarity identification user, if so, by it is described detection data send to Corresponding intelligent terminal.
- A kind of 2. method of Weight-detecting device identification user according to claim 1, it is characterised in that in step S2, It is described to judge whether by bluetooth recognition user to include：Scan the blue-tooth intelligence terminal in pre-determined distance；Blue-tooth intelligence terminal is judged whether, if it is not, be determined as can not be by bluetooth recognition user；If blue-tooth intelligence terminal be present, further determine whether multiple blue-tooth intelligence terminals be present, if it is not, being judged to that indigo plant can be passed through Tooth identifies user；If multiple blue-tooth intelligence terminals be present, the signal strength values of the plurality of blue-tooth intelligence terminal are calculated；Determine whether that unique signal strength values match with preset signal strength value, if so, being judged to that bluetooth recognition can be passed through User, otherwise, it is determined that for bluetooth recognition user can not be passed through.
- A kind of 3. method of Weight-detecting device identification user according to claim 2, it is characterised in that in step S2, It is described to send the detection data to before corresponding intelligent terminal, in addition to：Pass through bluetooth connection with the intelligent terminal of user；The signal strength values for setting the intelligent terminal are the preset signal strength value.
- A kind of 4. method of Weight-detecting device identification user according to claim 1, it is characterised in that in step S3, It is described to judge whether by comparing history detection data similarity identification user to include：Judge whether the similarity of the detection data and history detection data is more than predetermined threshold value, if so, being then judged to leading to Cross comparison history detection data similarity identification user.
- A kind of 5. method of Weight-detecting device identification user according to claim 4, it is characterised in that the history inspection Surveying data includes history body weight value, history body fat value and/or history bone value.
- A kind of 6. system of Weight-detecting device identification user, it is characterised in that including：Generation module, data are detected for generating；Bluetooth recognition module, for judge whether can be by bluetooth recognition user, if so, the detection data are sent to corresponding Intelligent terminal；Similarity identification module, for judging whether that data similarity identification user can be detected by comparing history, if so, by institute Detection data are stated to send to corresponding intelligent terminal.
- 7. the system of a kind of Weight-detecting device identification user according to claim 6, it is characterised in that the bluetooth is known Other module includes：Scanning element, for scanning the blue-tooth intelligence terminal in pre-determined distance；First judging unit, for judging whether blue-tooth intelligence terminal, if it is not, being judged to use by bluetooth recognition Family；Second judging unit, if for blue-tooth intelligence terminal be present, further determine whether multiple blue-tooth intelligence terminals be present, if No, being determined as can be by bluetooth recognition user；Computing unit, if for multiple blue-tooth intelligence terminals be present, calculate the signal strength values of the plurality of blue-tooth intelligence terminal；3rd judging unit, for determining whether that unique signal strength values match with preset signal strength value, if so, judging For can be by bluetooth recognition user, otherwise, it is determined that for bluetooth recognition user can not be passed through.
- 8. the system of a kind of Weight-detecting device identification user according to claim 7, it is characterised in that the bluetooth is known Other module also includes：Connection unit, pass through bluetooth connection for the intelligent terminal with user；Setting unit, the signal strength values for setting the intelligent terminal are preset signal strength value.
- A kind of 9. system of Weight-detecting device identification user according to claim 6, it is characterised in that the similarity Identification module includes：Comparing unit, for judging whether the similarity of the detection data and history detection data is more than predetermined threshold value, if so, It is judged to that data similarity identification user can be detected by comparing history.
- A kind of 10. system of Weight-detecting device identification user according to claim 9, it is characterised in that the comparison The history detection data of unit include history body weight value, history body fat value and/or history bone value.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710638456.4A CN107517434A (en) | 2017-07-31 | 2017-07-31 | A kind of method and system of Weight-detecting device identification user |
| PCT/CN2017/116414 WO2019024383A1 (en) | 2017-07-31 | 2017-12-15 | Method and system for recognizing user by means of weight detecting device |
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| CN201710638456.4A CN107517434A (en) | 2017-07-31 | 2017-07-31 | A kind of method and system of Weight-detecting device identification user |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN111242105A (en) * | 2020-04-24 | 2020-06-05 | 支付宝(杭州)信息技术有限公司 | User identification method, device and equipment |
| CN111428742A (en) * | 2018-12-24 | 2020-07-17 | 缤刻普达（北京）科技有限责任公司 | Human health measuring method, device, computer equipment and storage medium |
| CN111576577A (en) * | 2020-06-11 | 2020-08-25 | 张信信 | Big data type self-adaptive adjusting system for bathroom equipment |
| US20220155134A1 (en) * | 2014-05-09 | 2022-05-19 | Daniel Lin | Method and System to Track Weight |
Families Citing this family (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160019360A1 (en) | 2013-12-04 | 2016-01-21 | Apple Inc. | Wellness aggregator |
| US12080421B2 (en) | 2013-12-04 | 2024-09-03 | Apple Inc. | Wellness aggregator |
| EP4321088A3 (en) | 2015-08-20 | 2024-04-24 | Apple Inc. | Exercise-based watch face |
| DK201770423A1 (en) | 2016-06-11 | 2018-01-15 | Apple Inc | Activity and workout updates |
| US10736543B2 (en) | 2016-09-22 | 2020-08-11 | Apple Inc. | Workout monitor interface |
| US10845955B2 (en) | 2017-05-15 | 2020-11-24 | Apple Inc. | Displaying a scrollable list of affordances associated with physical activities |
| DK201970535A1 (en) | 2019-05-06 | 2020-12-21 | Apple Inc | Media browsing user interface with intelligently selected representative media items |
| DK201970532A1 (en) | 2019-05-06 | 2021-05-03 | Apple Inc | Activity trends and workouts |
| AU2020288139B2 (en) | 2019-06-01 | 2023-02-16 | Apple Inc. | Multi-modal activity tracking user interface |
| CN116820300B (en) * | 2020-02-14 | 2024-07-02 | 苹果公司 | User interface for fitness content |
| DK202070612A1 (en) | 2020-02-14 | 2021-10-26 | Apple Inc | User interfaces for workout content |
| EP4323992A1 (en) | 2021-05-15 | 2024-02-21 | Apple Inc. | User interfaces for group workouts |
| US11896871B2 (en) | 2022-06-05 | 2024-02-13 | Apple Inc. | User interfaces for physical activity information |
| US11977729B2 (en) | 2022-06-05 | 2024-05-07 | Apple Inc. | Physical activity information user interfaces |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009119489A1 (en) * | 2008-03-24 | 2009-10-01 | シャープ株式会社 | Information display device and information reading device |
| CN103263294A (en) * | 2013-04-22 | 2013-08-28 | 刘梦阳 | Health indicator parameter detection instrument, device and system |
| CN104055521A (en) * | 2014-06-05 | 2014-09-24 | 胡宝华 | User identity identification method, identification system and health instrument |
| CN104468973A (en) * | 2014-10-31 | 2015-03-25 | 深圳市金立通信设备有限公司 | Terminal |
| CN104545829A (en) * | 2015-01-23 | 2015-04-29 | 青岛黄海学院 | Measurement system and remote physical measurement method |
| CN105260588A (en) * | 2015-10-23 | 2016-01-20 | 福建优安米信息科技有限公司 | Health protection robot system and data processing method thereof |
| CN106095340A (en) * | 2016-06-14 | 2016-11-09 | 深圳市国华识别科技开发有限公司 | Gage data stores method and apparatus |
-
2017
- 2017-07-31 CN CN201710638456.4A patent/CN107517434A/en active Pending
- 2017-12-15 WO PCT/CN2017/116414 patent/WO2019024383A1/en active Application Filing
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009119489A1 (en) * | 2008-03-24 | 2009-10-01 | シャープ株式会社 | Information display device and information reading device |
| CN103263294A (en) * | 2013-04-22 | 2013-08-28 | 刘梦阳 | Health indicator parameter detection instrument, device and system |
| CN104055521A (en) * | 2014-06-05 | 2014-09-24 | 胡宝华 | User identity identification method, identification system and health instrument |
| CN104468973A (en) * | 2014-10-31 | 2015-03-25 | 深圳市金立通信设备有限公司 | Terminal |
| CN104545829A (en) * | 2015-01-23 | 2015-04-29 | 青岛黄海学院 | Measurement system and remote physical measurement method |
| CN105260588A (en) * | 2015-10-23 | 2016-01-20 | 福建优安米信息科技有限公司 | Health protection robot system and data processing method thereof |
| CN106095340A (en) * | 2016-06-14 | 2016-11-09 | 深圳市国华识别科技开发有限公司 | Gage data stores method and apparatus |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20220155134A1 (en) * | 2014-05-09 | 2022-05-19 | Daniel Lin | Method and System to Track Weight |
| 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 |
| CN111428742A (en) * | 2018-12-24 | 2020-07-17 | 缤刻普达（北京）科技有限责任公司 | Human health measuring method, device, computer equipment and storage medium |
| CN111428742B (en) * | 2018-12-24 | 2023-12-19 | 有品国际科技(深圳)有限责任公司 | Human health measurement method, device, computer equipment and storage medium |
| CN111242105A (en) * | 2020-04-24 | 2020-06-05 | 支付宝(杭州)信息技术有限公司 | User identification method, device and equipment |
| CN111576577A (en) * | 2020-06-11 | 2020-08-25 | 张信信 | Big data type self-adaptive adjusting system for bathroom equipment |
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| Publication number | Publication date |
|---|---|
| WO2019024383A1 (en) | 2019-02-07 |
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