CN105354334B - A kind of information issuing method and Intelligent mirror based on Intelligent mirror - Google Patents
A kind of information issuing method and Intelligent mirror based on Intelligent mirror Download PDFInfo
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Abstract
The embodiment of the invention discloses a kind of information issuing methods based on Intelligent mirror, rely on logical hair technology to user's pushed information, the low problem of efficiency of information delivery for solving the prior art.The method comprise the steps that the image data of acquisition user；Feature identification is carried out to described image data, generates characteristic；It is obtained and the matched information of the characteristic according to the characteristic；The information is shown in Intelligent mirror.The embodiment of the present invention also provides a kind of Intelligent mirror.
Description
Technical field
The present invention relates to intelligent recognition field more particularly to a kind of information issuing methods and smart mirror based on Intelligent mirror
Son.
Background technique
Common information publication is by enterprise or government's news release, these message are often blindness to all
People issues, but usually situation is, the people of these information and few is really needed, so good audient's body cannot be brought
It tests.
The push of existing brand message is to be used by crawler behavior of the crawl user on network come comprehensive analysis
Then the interested thing in family provides corresponding content, need user in online typing relevant information, it has not been convenient to the private to client
People is customized.
Summary of the invention
The embodiment of the invention provides a kind of information issuing method and Intelligent mirror based on Intelligent mirror is able to solve existing
There is technology to rely on logical hair technology to user's pushed information, the low problem of efficiency of information delivery.
A kind of information issuing method based on Intelligent mirror provided in an embodiment of the present invention, comprising:
Acquire the image data of user；
Feature identification is carried out to described image data, generates characteristic；
It is obtained and the matched information of the characteristic according to the characteristic；
The information is shown in Intelligent mirror.
Optionally, described to carry out feature identification to described image data, generating characteristic includes:
Recognition of face is carried out to described image data, generates human face data；
Activity recognition is carried out to described image data, generates behavioral data；
Brand recognition is carried out to described image data, generates branding data.
Optionally, described obtained according to the characteristic with the matched information of the characteristic includes:
The characteristic and preset characteristic parameter are compared one by one, judge whether there is preset characteristic parameter and institute
Characteristic matching is stated, if so, obtaining the corresponding information of the matched characteristic parameter.
Optionally, the preset characteristic parameter is precalculated to obtain by following steps:
Digitization calculating is carried out according to the movement, dress or facial expression image of user, generates the characteristic parameter.
Optionally, digitization calculating is carried out according to the movement of user, dress or facial expression image, generates the characteristic parameter tool
Body includes:
The eye distance of user's eyes is calculated according to user's facial image, and generates corresponding face characteristic parameter；
The parameter setting of the corresponding suit length of clothes brand, position and type is calculated according to clothes brand image, and raw
Characteristic parameter is worn at corresponding.
Optionally, it when being matched there is no preset characteristic parameter with the characteristic, is obtained from ranking list excellent
Select the information shown；
The ranking list is previously obtained by following steps:
The displaying number for counting every information is ranked up all information according to displaying number, and raw
At the ranking list.
A kind of Intelligent mirror provided in an embodiment of the present invention, comprising:
Image data acquiring module, for acquiring the image data of user；
Characteristic generation module generates characteristic for carrying out feature identification to described image data；
Data obtaining module, for being obtained and the matched information of the characteristic according to the characteristic；
Display module, for showing the information in Intelligent mirror.
Optionally, the characteristic generation module includes:
Face unit generates human face data for carrying out recognition of face to described image data；
Behavior unit generates behavioral data for carrying out Activity recognition to described image data；
Trade mark unit generates branding data for carrying out brand recognition to described image data.
Optionally, the data obtaining module includes:
Matching unit judges whether there is default for comparing the characteristic and preset characteristic parameter one by one
Characteristic parameter matched with the characteristic；
First acquisition unit, for when the judging result of the matching unit, which is, is, obtaining the matched feature ginseng
The corresponding information of number；
Second acquisition unit, for being obtained from ranking list preferred when the judging result of the matching unit is no
The information of displaying；
The Intelligent mirror further include:
Statistical module is shown, for counting the displaying number of every information；
Ranking list generation module, for being ranked up according to displaying number to all information, and described in generation
Ranking list.
Optionally, the preset characteristic parameter with lower module by precalculating to obtain:
Characteristic parameter generation module is generated for carrying out digitization calculating according to the movement, dress or facial expression image of user
The characteristic parameter；
The characteristic parameter generation module specifically includes:
Face characteristic parameter generating unit, for calculating the eye distance of user's eyes, and generation pair according to user's facial image
The face characteristic parameter answered；
Wear characteristic parameter generation unit, for according to clothes brand image calculate the corresponding suit length of clothes brand,
The parameter setting of position and type, and generate and corresponding wear characteristic parameter.
As can be seen from the above technical solutions, the embodiment of the present invention has the advantage that
In the embodiment of the present invention, firstly, the image data of acquisition user；Then, feature knowledge is carried out to described image data
Not, characteristic is generated；Then, it is obtained and the matched information of the characteristic according to the characteristic；Finally, will be described
Information is shown in Intelligent mirror.In embodiments of the present invention, feature identification, and root can be carried out according to the image data of user
Matched information is shown in Intelligent mirror according to these features, allows Intelligent mirror corresponding for the demand publication of user
Information, information launch have more efficiency simultaneously cater to user demand.
Detailed description of the invention
Fig. 1 is a kind of information issuing method one embodiment flow chart based on Intelligent mirror in the embodiment of the present invention；
Fig. 2 is a kind of another embodiment flow chart of the information issuing method based on Intelligent mirror in the embodiment of the present invention；
Fig. 3 is a kind of Intelligent mirror one embodiment structure chart in the embodiment of the present invention；
Fig. 4 is a kind of another example structure figure of Intelligent mirror in the embodiment of the present invention.
Specific embodiment
The embodiment of the invention provides a kind of information issuing method and Intelligent mirror based on Intelligent mirror, it is existing for solving
There is technology to rely on logical hair technology to user's pushed information, the low problem of efficiency of information delivery.
In order to make the invention's purpose, features and advantages of the invention more obvious and easy to understand, below in conjunction with the present invention
Attached drawing in embodiment, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that disclosed below
Embodiment be only a part of the embodiment of the present invention, and not all embodiment.Based on the embodiments of the present invention, this field
Those of ordinary skill's all other embodiment obtained without making creative work, belongs to protection of the present invention
Range.
Referring to Fig. 1, a kind of information issuing method one embodiment based on Intelligent mirror includes: in the embodiment of the present invention
101, the image data of user is acquired；
It is possible, firstly, to acquire the image data of user.
102, feature identification is carried out to the image data, generates characteristic；
After the image data of acquisition user, feature identification can be carried out to the image data, generate characteristic.
103, according to the information of this feature data acquisition and this feature Data Matching；
To the image data carry out feature identification, generate characteristic after, can according to this feature data acquisition with
The information of this feature Data Matching.
104, the information is shown in Intelligent mirror.
After the information according to this feature data acquisition and this feature Data Matching, which can be shown in intelligence
On mirror.
In the present embodiment, firstly, the image data of acquisition user；Then, feature identification is carried out to the image data, generated
Characteristic；Then, according to the information of this feature data acquisition and this feature Data Matching；Finally, showing the information in intelligence
On energy mirror.In the present embodiment, feature identification can be carried out according to the image data of user, and will be matched according to these features
Information show that in Intelligent mirror, allow Intelligent mirror to issue corresponding information for the demand of user, information is launched
More efficiency and cater to user demand.
For ease of understanding, one of embodiment of the present invention is carried out in detail based on the information issuing method of Intelligent mirror below
Thin description, referring to Fig. 2, a kind of another embodiment packet of the information issuing method based on Intelligent mirror in the embodiment of the present invention
It includes:
201, the image data of user is acquired；
It is possible, firstly, to acquire the image data of user.It can be used by the way that the camera shooting being mounted in Intelligent mirror is lower
Then family image extracts the information such as trade mark feature of the facial characteristics of user, behavioural characteristic and dress ornament from user images, thus
Obtain relevant image data.
202, feature identification is carried out to the image data, generates characteristic；
After the image data of acquisition user, feature identification can be carried out to the image data, generate characteristic.Tool
Body, recognition of face can be carried out to the image data, generate human face data；Alternatively, Activity recognition is carried out to the image data,
Generate behavioral data；Alternatively, carrying out brand recognition to the image data, branding data is generated.It is understood that the picture number
According to the facial characteristics that may include user, the recognition of face of user is carried out according to the facial characteristics of user；Alternatively, the image data
It may include the behavioural characteristic of user, the Activity recognition of user then carried out according to behavioural characteristic；Alternatively, the image data can be with
Then trade mark feature comprising the worn dress ornament of user carries out brand recognition according to the trade mark feature.
It should be noted that carrying out recognition of face to the image data, the human face data generated may include characterization
The identity information of the user characteristics, including iris data, faceform's data.So as to for carrying out identity knowledge to user
Not, and then user library is established, user habit and the in the past information of push is recorded in the user library, can also be disappeared with network
Expense platform includes that connection is established in Taobao, only product meeting, Jingdone district etc., to carry out subsequent online payment.
The human face data can also include user's physiologic information, and such as acquisition user's glasses are dry and astringent, have red capillary, show user
It is in a state of fatigue.System is in local or obtains the information relieved fatigue on the net, including the medicament or eye drops to regain one's strength
Etc. information.
It should be noted that carrying out Activity recognition to the image data, the behavioral data generated may include user
Movement, such as identification female user combs one's hair, makes up or the movement such as male user shaves the beard, and system can be by the movement
It is matched with local several action models, finds corresponding action model, determine behavioural information and then generate behavioral data.Into
And system can be according to aforementioned behavioral data, the movement such as comb one's hair, shave, making up, system obtains corresponding letter online
Breath.Such as corresponding movement of shaving, the related information of shaver is being obtained on the net.
It should be noted that carrying out brand recognition, the branding data generated to the image data, such as can be,
User wears a Li Ning gym suit, and system first matches the trade mark analog of Li Ning in local or networking, finds Lee
When this peaceful trade mark, the trademark information is determined, generate branding data.Then, system is according to branding data, such as this quotient of Li Ning
Mark, in the information of local or online other products for obtaining Li Ning brand, such as the information of the Li Ning gym suit of latest version.
203, this feature data and preset characteristic parameter are compared one by one, judge whether there is preset characteristic parameter with
This feature Data Matching, if so, 204 are thened follow the steps, if it is not, thening follow the steps 205；
To the image data carry out feature identification, generate characteristic after, can by this feature data with it is preset
Characteristic parameter compares one by one, judges whether there is preset characteristic parameter and this feature Data Matching, if so, thening follow the steps
204, if it is not, thening follow the steps 205.
Wherein, which is precalculated to obtain by following steps: according to the movement, dress or expression of user
Image carries out digitization calculating, generates this feature parameter.Specifically, may include:
1, the eye distance of user's eyes is calculated according to user's facial image, and generates corresponding face characteristic parameter；
2, the parameter setting of the corresponding suit length of clothes brand, position and type is calculated according to clothes brand image, and
It generates and corresponding wears characteristic parameter.
204, the corresponding information of matched this feature parameter is obtained；
When judgement learns that available matched this feature is joined there are when preset characteristic parameter and this feature Data Matching
The corresponding information of number.As described above when characteristic is " Li Ning " trade mark, the product information of " Li Ning " brand is obtained.
205, the information preferably shown is obtained from ranking list；
When judgement learns that there is no preset characteristic parameters with this feature Data Matching, can be obtained from ranking list
It is preferred that the information shown.
Wherein, which is previously obtained by following steps:
The displaying number for counting every information is ranked up all information according to displaying number, and generating should
Ranking list.For example, being in if the number that is demonstrated in the historical data of the corresponding product information of " Li Ning " trade mark is most
The optimal location of ranking list.When judgement learns that there is no preset characteristic parameters with this feature Data Matching, directly by " Lee
Rather " product information of trade mark shows information as preferred.
206, the information is shown in Intelligent mirror.
After getting corresponding information, which can be shown in Intelligent mirror, to targetedly will
Information is pushed to the user at station.
It should be noted that system can be locally stored by user's habit pushed information, it can also network and be obtained on the net
Take the information to match with the characteristic information newly recognized.
When not recognizing new characteristic information, user often with brand or can also be often used by the information of thing carries out
Show, such as: common famous brand in the market, for example, Nike, Adidas, seven board, Gu Qi, it is fragrant how youngster etc..
For ease of understanding, described embodiment according to fig. 2, below with a practical application scene to the embodiment of the present invention
One of the information issuing method based on Intelligent mirror be described:
Such as in the smart mirror system of android system, the movement for the number of finishing and the relevant information of brand are deposited first
In systems, number 1 is to shave the beard for storage, then the relevant information of No. 1 storage shaver, number 5 is Nike, then No. 5 storages
Be the relevant information of Nike or advertisement.
StartPreview () function can be called when system preview, when camera preview discovery has face, in preview
When can call start recognition of face function startFaceDetection () have in startFaceDetection () function
Recognition of face thread mRunFaceDetection identifies face, then, movement and product are thought for what we to be identified
Board, the movement current to user of addition mRunActionDetection thread identifies, adds mRunBrandDetection
Thread is worn brand clothes to user and is identified.
When mRunActionDetection recognizes the common action of user, for example, we recognize shave the beard it is dynamic
Make, while the movement number to shave the beard is 1, then number is 1 associated information in the database by we, is passed through
SQLite reads out its associated data information, plays out one by one.
When mRunBrandDetection recognizes common brand, for example Nike icon is recognized, while Nike icon
Number is 5, then number is 5 associated information in the database by we, is read out by SQLite, one by one
Play out display.Wherein, above-mentioned function startFaceDetection (), this function are known for starting real face
Other process.MRunFaceDetection is one recognition of face thread of startFaceDetection () function starting.
MRunFaceDetection thread will start two sub threads, and sub thread mRunActionDetection is used for the movement of user
Identification, sub thread mRunBrandDetection are identified with to user's clothing brand.Above-mentioned function calling method is this
Known to the skill personnel of field, therefore not to repeat here.
A kind of information issuing method based on Intelligent mirror is essentially described above, a kind of Intelligent mirror will be carried out below
Detailed description, referring to Fig. 3, a kind of Intelligent mirror one embodiment includes: in the embodiment of the present invention
Image data acquiring module 301, for acquiring the image data of user；
Characteristic generation module 302 generates characteristic for carrying out feature identification to the image data；
Data obtaining module 303, for the information according to this feature data acquisition and this feature Data Matching；
Display module 304, for showing the information in Intelligent mirror.
In the present embodiment, firstly, image data acquiring module 301 acquires the image data of user；Then, characteristic is raw
Feature identification is carried out to the image data at module 302, generates characteristic；Then, data obtaining module 303 is according to this feature
The information of data acquisition and this feature Data Matching；Finally, display module 304 shows the information in Intelligent mirror.At this
In embodiment, which can carry out feature identification according to the image data of user, and will be matched according to these features
Information is shown in Intelligent mirror, and Intelligent mirror is allowed to issue corresponding information for the demand of user, and information is launched more
Tool efficiency simultaneously caters to user demand.
For ease of understanding, one of embodiment of the present invention Intelligent mirror is described in detail below, referring to Fig. 4,
A kind of another embodiment of Intelligent mirror includes: in the embodiment of the present invention
Image data acquiring module 401, for acquiring the image data of user；
Characteristic generation module 402 generates characteristic for carrying out feature identification to the image data；
Data obtaining module 403, for the information according to this feature data acquisition and this feature Data Matching；
Display module 404, for showing the information in Intelligent mirror.
This feature data generation module 402 may include: in the present embodiment
Face unit 4021 generates human face data for carrying out recognition of face to the image data；
Behavior unit 4022 generates behavioral data for carrying out Activity recognition to the image data；
Trade mark unit 4023 generates branding data for carrying out brand recognition to the image data.
The data obtaining module 403 may include: in the present embodiment
Matching unit 4031 judges whether there is pre- for comparing this feature data and preset characteristic parameter one by one
If characteristic parameter and this feature Data Matching；
First acquisition unit 4032, for obtaining the matched spy when the judging result of the matching unit 4031, which is, is
Levy the corresponding information of parameter；
Second acquisition unit 4033, for being obtained from ranking list when the judging result of the matching unit 4031 is no
Take the information preferably shown；
The Intelligent mirror further include:
Statistical module 405 is shown, for counting the displaying number of every information；
Ranking list generation module 406 for being ranked up according to displaying number to all information, and generates the row
Row-column list.
The preset characteristic parameter of this in the present embodiment can be by precalculating to obtain with lower module:
Characteristic parameter generation module 407, for carrying out digitization calculating according to the movement, dress or facial expression image of user,
Generate this feature parameter；
This feature parameter generation module 407 specifically includes:
Face characteristic parameter generating unit 4071, for calculating the eye distance of user's eyes according to user's facial image, and it is raw
At corresponding face characteristic parameter；
Characteristic parameter generation unit 4072 is worn, for calculating the corresponding clothes ruler of clothes brand according to clothes brand image
The parameter setting of very little, position and type, and generate and corresponding wear characteristic parameter.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit is drawn
Point, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components can
To combine or be desirably integrated into another system, or some features can be ignored or not executed.Another point, it is shown or beg for
The mutual coupling, direct-coupling or communication connection of opinion can be through some interfaces, the INDIRECT COUPLING of device or unit
Or communication connection, it can be electrical property, mechanical or other forms.
Unit may or may not be physically separated as illustrated by the separation member for this, show as unit
Component may or may not be physical unit, it can it is in one place, or may be distributed over multiple nets
On network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and when sold or used as an independent product,
It can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention substantially or
Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products
Reveal and, which is stored in a storage medium, including some instructions are with so that a computer is set
Standby (can be personal computer, server or the network equipment etc.) execute each embodiment this method of the present invention whole or
Part steps.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory),
Random access memory (RAM, Random Access Memory), magnetic or disk etc. be various to can store program code
Medium.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although referring to before
Stating embodiment, invention is explained in detail, those skilled in the art should understand that: it still can be to preceding
Technical solution documented by each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
It modifies or replaces, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (8)
1. a kind of information issuing method based on Intelligent mirror characterized by comprising
Acquire the image data of user；
Feature identification is carried out to described image data, generates characteristic；
It is obtained and the matched information of the characteristic according to the characteristic；
The information is shown in Intelligent mirror；
Wherein, described to carry out feature identification to described image data, generating characteristic includes:
Recognition of face is carried out to described image data, generates human face data；
Activity recognition is carried out to described image data, generates behavioral data；
Brand recognition is carried out to described image data, generates branding data；
It is wherein, described that recognition of face is carried out to described image data, comprising:
Call stratPreview image preview function preview described image data；
If it is determined that described image data include face image data, then startFaceDetection recognition of face function is called
Carry out recognition of face, wherein the startFaceDetection recognition of face function includes for action recognition
MRunActionDetection recognition of face thread and mRunBrandDetection face for wearing brand recognition clothes are known
Other thread；
Wherein, the human face data includes at least following a kind of data: the identity information data of user or the physiologic information of user
Data；
Wherein, the identity information of the user includes at least following a kind of data: iris data or faceform's data, the use
The physiologic information at family includes at least a kind of following data: whether eyes of user is dry and astringent or whether eyes of user has red capillary；
Wherein, for establishing user library, the user library is described for recording for the iris data and faceform's data
The information that the habits information of user and past push to the user；The iris data and faceform's data are also used
In associated with consumption and payment platform, to be consumed by the consumption and payment platform.
2. the information issuing method according to claim 1 based on Intelligent mirror, which is characterized in that described according to the spy
Data acquisition, which is levied, with the matched information of the characteristic includes:
The characteristic and preset characteristic parameter are compared one by one, judge whether there is preset characteristic parameter and the spy
Data Matching is levied, if so, obtaining the corresponding information of the matched characteristic parameter.
3. the information issuing method according to claim 2 based on Intelligent mirror, which is characterized in that the preset feature
Parameter is precalculated to obtain by following steps:
Digitization calculating is carried out according to the movement, dress or facial expression image of user, generates the characteristic parameter.
4. the information issuing method according to claim 3 based on Intelligent mirror, which is characterized in that according to the dynamic of user
Work, dress or facial expression image carry out digitization calculating, generate the characteristic parameter and specifically include:
The eye distance of user's eyes is calculated according to user's facial image, and generates corresponding face characteristic parameter；
The parameter setting of the corresponding suit length of clothes brand, position and type, and generation pair are calculated according to clothes brand image
That answers wears characteristic parameter.
5. the information issuing method according to claim 2 based on Intelligent mirror, which is characterized in that when there is no preset
When characteristic parameter is matched with the characteristic, the information preferably shown is obtained from ranking list；
The ranking list is previously obtained by following steps:
The displaying number for counting every information is ranked up all information according to displaying number, and generates institute
State ranking list.
6. a kind of Intelligent mirror characterized by comprising
Image data acquiring module, for acquiring the image data of user；
Characteristic generation module generates characteristic for carrying out feature identification to described image data；
Data obtaining module, for being obtained and the matched information of the characteristic according to the characteristic；
Display module, for showing the information in Intelligent mirror；
Wherein, the characteristic generation module includes:
Face unit generates human face data for carrying out recognition of face to described image data；
Behavior unit generates behavioral data for carrying out Activity recognition to described image data；
Trade mark unit generates branding data for carrying out brand recognition to described image data；
It is wherein, described that recognition of face is carried out to described image data, comprising:
Call stratPreview image preview function preview described image data；
If it is determined that described image data include face image data, then startFaceDetection recognition of face function is called
Carry out recognition of face, wherein the startFaceDetection recognition of face function includes for action recognition
MRunActionDetection recognition of face thread and mRunBrandDetection face for wearing brand recognition clothes are known
Other thread；
Wherein, the human face data includes at least following a kind of data: the identity information data of user or the physiologic information of user
Data；
Wherein, the identity information of the user includes at least following a kind of data: iris data or faceform's data, the use
The physiologic information at family includes at least a kind of following data: whether eyes of user is dry and astringent or whether eyes of user has red capillary；
Wherein, for establishing user library, the user library is described for recording for the iris data and faceform's data
The information that the habits information of user and past push to the user；The iris data and faceform's data are also used
In associated with consumption and payment platform, to be consumed by the consumption and payment platform.
7. Intelligent mirror according to claim 6, which is characterized in that the data obtaining module includes:
Matching unit judges whether there is preset spy for comparing the characteristic and preset characteristic parameter one by one
Sign parameter is matched with the characteristic；
First acquisition unit, for obtaining the matched characteristic parameter pair when the judging result of the matching unit, which is, is
The information answered；
Second acquisition unit, for obtaining preferred show from ranking list when the judging result of the matching unit is no
Information；
The Intelligent mirror further include:
Statistical module is shown, for counting the displaying number of every information；
Ranking list generation module for being ranked up according to displaying number to all information, and generates the seniority among brothers and sisters
List.
8. Intelligent mirror according to claim 6, which is characterized in that the preset characteristic parameter is by preparatory with lower module
It is calculated:
Characteristic parameter generation module, for carrying out digitization calculating according to the movement, dress or facial expression image of user, described in generation
Characteristic parameter；
The characteristic parameter generation module specifically includes:
Face characteristic parameter generating unit for calculating the eye distance of user's eyes according to user's facial image, and generates corresponding
Face characteristic parameter；
Characteristic parameter generation unit is worn, for calculating the corresponding suit length of clothes brand, position according to clothes brand image
And the parameter setting of type, and generate and corresponding wear characteristic parameter.
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