CN106407930A - Service method of massage robot - Google Patents
Service method of massage robot Download PDFInfo
- Publication number
- CN106407930A CN106407930A CN201610824484.0A CN201610824484A CN106407930A CN 106407930 A CN106407930 A CN 106407930A CN 201610824484 A CN201610824484 A CN 201610824484A CN 106407930 A CN106407930 A CN 106407930A
- Authority
- CN
- China
- Prior art keywords
- massage
- client
- massaged
- attribute information
- user property
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J11/00—Manipulators not otherwise provided for
- B25J11/008—Manipulators for service tasks
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J11/00—Manipulators not otherwise provided for
- B25J11/008—Manipulators for service tasks
- B25J11/009—Nursing, e.g. carrying sick persons, pushing wheelchairs, distributing drugs
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1656—Programme controls characterised by programming, planning systems for manipulators
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2415—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
- G06F18/24155—Bayesian classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Robotics (AREA)
- Mechanical Engineering (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Probability & Statistics with Applications (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Nursing (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
A service method of a massage robot provided by the invention comprises the following steps: presetting a user attribute entry and massage service scheme categories; collecting sample behavior data of a training sample corresponding to the user attribute entry, and extracting the input feature vector of the training sample according to the sample behavior data; training a classifier according to the input feature vector and the massage service scheme category of the training sample, and getting a massage service scheme identification model; and determining the massage service scheme of a to-be-massaged customer according to the attribute information of the to-be-massaged customer corresponding to the user attribute entry and the massage service scheme identification model. The technical problem that the existing massage robot cannot provide personalized massage service for customers is solved. The attribute information of a to-be-massaged customer can be acquired, and personalized service can be provided for to-be-massaged customers with different attribute information features. The degree of intelligence is high, and the user experience is good.
Description
Technical field
The present invention relates to communication technical field is and in particular to a kind of method of servicing of massage robot.
Background technology
With the progress of social economy, people increasingly pay close attention to health.Existing massage welfare, typically all by massaging
Teacher manually performs.For mitigating hand labor intensity, various massage apparatus or massage robot arise at the historic moment.But existing massage appliance
Device people and provides personalized pressing for different clients when providing massage service for client it is impossible to accomplish automatic identification client
The service of rubbing.For example, existing massage robot is directed to the different massage forces of clients' employing, massaging way, massage time etc. all
Identical, intelligence degree is low, thus significantly impacting customer experience.Therefore, the offer more intelligentized massage appliance of one kind is provided badly
The method of servicing of device people.
Content of the invention
The invention provides a kind of method of servicing of massage robot, client cannot be directed to solve existing massage robot
The technical problem of personalized massage service is provided.
The method of servicing of the massage robot that the present invention provides, including：
Preset user property entry and massage service scheme categories；
The sample behavioral data corresponding with user property entry of collection training sample, and training is extracted according to sample behavioral data
The input feature value of sample；
Massage service scheme categories according to input feature value and training sample train grader, obtain massage service scheme and know
Other model；
According to client to be massaged attribute information corresponding with user property entry and massage service scheme identification model, determine
The massage service scheme of client to be massaged.
Further, according to client to be massaged attribute information corresponding with user property entry and massage service scheme
Identification model, determines that the massage service scheme of client to be massaged includes：
Gather the attribute information corresponding with user property entry of client to be massaged；
Extract the input feature value of client to be massaged according to attribute information；
The input feature value of client to be massaged is inputted massage service scheme identification model, obtains the massage clothes of client to be massaged
Business scheme.
Further, the attribute information corresponding with user property entry gathering client to be massaged includes：
Identify the identity of client to be massaged；
Identity-acquiring according to client to be massaged attribute information corresponding with user property entry.
Further, identify that the identity of client to be massaged includes：
Obtain the biological characteristic of client to be massaged；
Biological characteristic is mated with the sample biological characteristic being stored in advance in data base, thus identifying client's to be massaged
Identity.
Further, when biological characteristic is not matched that with the sample biological characteristic being stored in advance in data base, also wrap
Include：
Search on the internet and client to be massaged biometric matches username information；
Identify the identity of client to be massaged according to username information.
Further, the attribute information corresponding with user property entry of the identity-acquiring according to client to be massaged includes：
According to the corresponding username information of the identities match of client to be massaged；
Obtain the electronic register information of client to be massaged according to username information；
Base attribute information according to electronic register acquisition of information client to be massaged and user behaviors log information, and according to base attribute
Information and user behaviors log information retrieval attribute information corresponding with user property entry.
Further, user property entry includes：
Sex, age, education background, occupation, health states, height, body weight, massage service preference, history massage service
One or more of scheme entry combines.
Further, massage service scheme categories include：
The combination of one or more of massage time, massage force, massage products, massage order, massage part service plan.
The invention has the advantages that：
The method of servicing of the massage robot that the present invention provides, by presetting user property entry and massage service scheme
Classification；The sample behavioral data corresponding with user property entry of collection training sample, and instruction is extracted according to sample behavioral data
Practice the input feature value of sample；Massage service scheme categories according to input feature value and training sample train grader,
Obtain massage service scheme identification model；According to client to be massaged attribute information corresponding with user property entry and massage
Service plan identification model, determines the massage service scheme of client to be massaged, and solving existing massage robot cannot be for visitor
Family provides the technical problem of personalized massage service, can not only obtain the attribute information of client to be massaged, and can also be for tool
The client to be massaged having different attribute information characteristics provides personalized service, and intelligence degree is high, and Consumer's Experience is good.
In addition to objects, features and advantages described above, the present invention also has other objects, features and advantages.
Below with reference to figure, the present invention is further detailed explanation.
Brief description
The accompanying drawing building the part of the application is used for providing a further understanding of the present invention, the schematic reality of the present invention
Apply example and its illustrate, for explaining the present invention, not building inappropriate limitation of the present invention.In the accompanying drawings：
Fig. 1 is the flow chart of the method for servicing of preferred embodiment of the present invention massage robot；
Fig. 2 is the flow chart of the method for servicing that the preferred embodiment of the present invention is directed to first massage robot simplifying embodiment；
Fig. 3 is the flow chart of the method for servicing that the preferred embodiment of the present invention is directed to second massage robot simplifying embodiment.
Specific embodiment
Below in conjunction with accompanying drawing, embodiments of the invention are described in detail, but the present invention can be defined by the claims
Implement with the multitude of different ways covering.
With reference to Fig. 1, the preferred embodiments of the present invention provide a kind of method of servicing of massage robot, including：
Step S101, presets user property entry and massage service scheme categories；
Step S102, the sample behavioral data corresponding with user property entry of collection training sample, and according to sample behavior number
According to the input feature value extracting training sample；
Step S103, the massage service scheme categories according to input feature value and training sample train grader, obtain massage
Service plan identification model；
Step S104, according to client to be massaged attribute information corresponding with user property entry and the identification of massage service scheme
Model, determines the massage service scheme of client to be massaged.
The method of servicing of the massage robot that the present invention provides, by presetting user property entry and massage service
Scheme categories；The sample behavioral data corresponding with user property entry of collection training sample, and carried according to sample behavioral data
Take the input feature value of training sample；Massage service scheme categories training classification according to input feature value and training sample
Device, obtains massage service scheme identification model；According to client to be massaged attribute information corresponding with user property entry and
Massage service scheme identification model, determines the massage service scheme of client to be massaged, and solving existing massage robot cannot pin
Client is provided with the technical problem of personalized massage service, the attribute information of client to be massaged can not only be obtained, can be with pin
There is provided personalized service to the client to be massaged with different attribute information characteristics, intelligence degree is high, Consumer's Experience is good.
Wherein, the customer attribute information of the present embodiment indication be system automatic data collection with user property bar set in advance
The corresponding information of mesh, is mainly some for characterizing user profile or the relevant information of user behavior feature.For example, the present embodiment
In user property entry can be sex, age, education background, occupation, health states, height, body weight, massage service
One or more of preference, history massage service scheme entry combine, and the number of user property entry and classification are by system
Self-defined, when the user property entry of definition is different, then the customer attribute information corresponding with user property entry obtaining is not yet
With；Additionally, for different clients to be massaged, the customer attribute information corresponding with user property entry of collection is likely to not
With thus just tool can be obtained by using customer attribute information as the input of the massage service scheme identification model having trained
Targetedly massage service scheme.
As can be seen here, the acquisition of massage service scheme is dexterously converted to the selection of massage service scheme by the present embodiment,
And by designing and train massage service scheme identification model, determine the massage service scheme of client to be massaged it is achieved that pin
There is provided targetedly massage service scheme to the client to be massaged of different attribute information characteristics, intelligence degree is high, Consumer's Experience
Good.The grader being used for obtaining massage service scheme identification model in the present embodiment can be Bayes classifier, supporting vector
Machine grader, maximum entropy classifiers etc..It should be noted that in the present embodiment indication massage robot, being not limited to can only
The robot of massage service is provided, for example, can also be that beauty servicess are provided, or the robot of care etc..
Alternatively, known according to client to be massaged attribute information corresponding with user property entry and massage service scheme
Other model, determines that the massage service scheme of client to be massaged includes：
Gather the attribute information corresponding with user property entry of client to be massaged；
Extract the input feature value of client to be massaged according to attribute information；
The input feature value of client to be massaged is inputted massage service scheme identification model, obtains the massage clothes of client to be massaged
Business scheme.
The present embodiment is according to client to be massaged attribute information corresponding with user property entry and massage service scheme
Identification model, determines when massaging the massage service scheme of client, gather client to be massaged first with user property entry pair
The attribute information answered, then extracts the input feature value of client to be massaged according to attribute information, finally that massage client is defeated
Enter characteristic vector input massage service scheme identification model, obtain the massage service scheme of client to be massaged.Specifically, this enforcement
User property entry in example and massage service scheme are all by user-defined, and such as user property entry can be property
Not, age, education background, occupation, health states, height, body weight, massage service preference, history massage service scheme bar
One or more of mesh combine, massage service scheme can be the massage time, massage force, massage products, massage order, by
One or more of position service plan of rubbing combines.For example, massage service scheme can only include massage force service side
Case is it is also possible to include the service plan of massage force and massage ageing, or massage force and massage time, and massage
The service plan of product mix.
The present embodiment train massage service scheme identification model when, according to collection training sample and user property bar
Mesh corresponding sample behavioral data extracts the input feature value of training sample, thus training grader, wherein, grader is permissible
It is support vector machine classifier, Bayes classifier, maximum entropy classifiers etc..And in actual implementation process, train sample
This quantity should be as big as possible, thus ensureing the accuracy of identification of massage service scheme identification model.
Additionally, the present embodiment is after the attribute information corresponding with user property entry gathering client to be massaged, according to
Attribute information can also be normalized before the input feature value that attribute information extracts client to be massaged.For example work as acquisition
When arriving attribute information corresponding with professional attributes entries for teacher, according to normalization set in advance rule, it can be returned
One change.Normalization rule wherein set in advance can be predefined mark rule, for example pre-defined N kind occupation, when
Collect with a certain kind in the occupation of this N kind to corresponding when then the occupation to collection be identified, thus realization is to attribute information
Normalization.And be directed to when getting attribute information corresponding with other users attributes entries it is also possible to take similar method pair
Attribute information is normalized, thus establishing good data basis for improving the discrimination of identification model.
The present embodiment passes through training for identifying the massage service scheme identification model of massage service scheme, can not only basis
The attribute information coupling of client to be massaged is corresponding, have pointedly massage service scheme, and adopts the present embodiment
The accuracy rate that the massage service scheme identification model training treats the massage service scheme identification of massage client is high, after being conducive to
Continuous massage robot can provide personalized massage service to client to be massaged according to the massage service scheme identifying, embodies
Higher intelligent level.
Alternatively, the attribute information corresponding with user property entry gathering client to be massaged includes：
Identify the identity of client to be massaged；
Identity-acquiring according to client to be massaged attribute information corresponding with user property entry.
The present embodiment when gathering attribute information corresponding with user property entry, enter by the identity treating massage client first
Row identification, the then identity-acquiring attribute information corresponding with user property entry according to client to be massaged.And the present embodiment leads to
Cross the identity identifying client to be massaged, and the attribute corresponding with user property entry of the identity-acquiring according to client to be massaged letter
Breath, just can obtain the massage of client to be massaged according to the attribute information of client to be massaged and massage service scheme identification model
Service plan, intelligence degree is high, and Consumer's Experience is good.
Alternatively, identify that the identity of client to be massaged includes：
Obtain the biological characteristic of client to be massaged；
Biological characteristic is mated with the sample biological characteristic being stored in advance in data base, thus identifying client's to be massaged
Identity.
Specifically, the present embodiment obtains the biological characteristic of client to be massaged first when identifying whne the identity of massage client,
Then the biological characteristic of client to be massaged is mated with the sample biological characteristic being stored in advance in data base, thus identifying
The identity of client to be massaged.Wherein, the biological characteristic of client to be massaged includes：Face, fingerprint, sound, abnormal smells from the patient, iris, hand,
One or more of palmmprint, signature, gait combine.
The sample biological characteristic of some users, such as people is often stored in the data base of existing intelligent massaging robot
Face, fingerprint, sound, abnormal smells from the patient, iris, hand, palmmprint, signature, gait etc., therefore when massage robot collects client to be massaged
Biological characteristic after, often first mate the sample biological characteristic whether including this client to be massaged in its database, if
It is made into work(, then identification is carried out to it according to the sample biological characteristic that this client to be massaged stores in data base.For example, when
Collect when massaging the face characteristic information of client, then adopt the data by it with intelligent massaging robot for the face recognition technology
In storehouse, face sample characteristics are mated, thus the identity realizing treating massage client is identified.
When gathering whne the attribute information of massage client, the identity treating massage client first is identified the present embodiment,
The follow-up identity according to client to be massaged is conducive to obtain attribute information corresponding with client to be massaged, and according to client to be massaged
Attribute information obtain corresponding, there is targetedly massage service scheme.
Alternatively, when biological characteristic is not matched that with the sample biological characteristic being stored in advance in data base, also include：
Search on the internet and client to be massaged biometric matches username information；
Identify the identity of client to be massaged according to username information.
Due to by wait massage client biological characteristic mated with the sample biological characteristic in data base when in fact it could happen that
The situation that biological characteristic is not matched that with the sample biological characteristic being stored in advance in data base, namely can not be from being stored in advance in
Match in sample biological characteristic in data base and client's identical biological characteristic to be massaged.For this situation, this enforcement
Example by search on the internet and client to be massaged biometric matches username information, then according to username information
Identify the identity of client to be massaged.
For example, when system can not match from the face sample biological characteristic being stored in advance in data base and waits to massage
During client's identical face biological characteristic, then according to collection client massage face biological characteristic search on the internet and
Corresponding username information.When this is mainly based upon existing user and carries out identity registration on the internet, often it is required
Corresponding biological characteristic, such as face, signature etc. are provided.The present embodiment is based on the dependency of both, first passes through and treats
The biological characteristic of massage client is searched on the internet and is obtained matching username information, is then known according to username information
The identity of client not massaged.It should be noted that the identity of the client to be massaged of indication can be any use in the present embodiment
In the identity attribute information characterizing client to be massaged, the such as title of client to be massaged, telephone number, email address, identity card
Number etc..
It should be noted that the present embodiment is right therewith according to the biological characteristic search acquisition of client to be massaged on the internet
During the username information answered, more than one username information may be obtained.Now, the present embodiment can choose wherein any one
Username information identifies the identity of client to be massaged it is also possible to choose the biometric matches degree highest use with client to be massaged
Name in an account book information is used for identifying the identity of client to be massaged.
Alternatively, the attribute information corresponding with user property entry of the identity-acquiring according to client to be massaged includes：
According to the corresponding username information of the identities match of client to be massaged；
Obtain the electronic register information of client to be massaged according to username information；
Base attribute information according to electronic register acquisition of information client to be massaged and user behaviors log information, and according to base attribute
Information and user behaviors log information retrieval attribute information corresponding with user property entry.
When carrying out identity registration, often carry out user name setting, and also can arrange and user due to whne massage client
Name information other electronic register information corresponding, such as one of sex, age, occupation, hobby, family statuses or many
Kind.Meanwhile, when getting when massaging the username information of client, the present embodiment can also be in system corresponding with username information
Search in system data base obtains associated other information, such as log information, history information etc..Specifically, originally
Embodiment is obtaining with after the username information of the identities match of massage client, is obtained corresponding according to username information
Electronic register information, the then base attribute information further according to electronic register acquisition of information client to be massaged and user behaviors log letter
Breath, and according to base attribute information and user behaviors log information retrieval attribute information corresponding with user property entry.
In actual implementation process, the behavioral data information of the client to be massaged in the present embodiment specifically can include treating
One or more of the personal essential information of massage client, log information, communication information, online footprint information, wherein personal
Essential information includes one or more of sex, age, occupation, hobby, family statuses, and communication information includes IMU
One or more of news information, mobile communication information, email correspondence information, microblogging communication information, footprint information of surfing the Net
Including one or more of online shopping information, net page browse information.
Alternatively, user property entry includes：
Sex, age, education background, occupation, health states, height, body weight, massage service preference, history massage service
One or more of scheme entry combines.
Specifically, the user property entry in the present embodiment is not limited to including sex, age, education background, occupation, body
One or more of health status, height, body weight, massage service preference, history massage service scheme entry combine, specifically by
System is self-defined.
Alternatively, massage service scheme categories include：
The combination of one or more of massage time, massage force, massage products, massage order, massage part service plan.
Specifically, the massage service scheme in the present embodiment be not limited to including the massage time, massage force, massage products,
The combination of one or more of massage order, massage part service plan, such as massage service scheme can only include massaging
Dynamics service plan it is also possible to include massage force with massage ageing service plan, or massage force with massage when
Between, and the service plan of massage products combination.
Illustrate further below for two method of servicing simplifying the massage robot to the present invention for the embodiment.
Simplify embodiment one
Reference Fig. 2, the method for servicing of the massage robot that embodiment one offer is provided of the present invention, including：
Step S201, presets user property entry and massage service scheme categories.
Specifically, the user property entry in the present embodiment including but not limited to includes sex, age, education background, duty
One or more of industry, health states, height, body weight, massage service preference, history massage service scheme entry group
Close.Assume that the user property entry that the present embodiment pre-sets includes sex, age, professional three attributes entries.
Additionally, the massage service scheme categories of the present embodiment including but not limited to massage time, massage force, massage product
The combination of one or more of product, massage order, massage part service plan.Assume the massage service that the present embodiment pre-sets
Scheme categories are the combination of massage time, massage force, and assume that the present embodiment is divided into length for the massage time（Little more than 1
When）, in（Half an hour to 1 hour）, short（Less than half an hour）, it is divided into dynamics large, medium and small for massage force, then can obtain
Massage service scheme categories are specially 9 kinds, specially massage time length+massage force is big, in massage time length+massage force,
Massage time length+massage force is little, in the massage time+massage force is big, in the massage time+massage force in, in the massage time+
Massage force is little, and the massage time is short+massage force is big, the massage time is short+massage force in, the massage time is short+massage force
Little }.
Step S202, the sample behavioral data corresponding with user property entry of collection training sample, and according to sample row
Extract the input feature value of training sample for data.
Specifically, the massage service scheme identification model higher in order to obtain discrimination, the training sample that the present embodiment is chosen
This quantity should be tried one's best greatly.The quantity of the training sample that hypothesis the present embodiment is chosen is N, then be directed to this N number of training sample, point
Not Cai Ji sample behavioral data corresponding with user property entry, and extracted according to the sample behavioral data of each training sample
Corresponding input feature value.The user property entry being pre-set due to the present embodiment is three, namely be directed to every
One training sample, can collect corresponding 3 data.In actual implementation process, the present embodiment collection training
The input of training sample after the sample behavioral data corresponding with user property entry of sample, is extracted according to sample behavioral data
Before characteristic vector, also include sample behavioral data is normalized.
Step S203, the massage service scheme categories according to input feature value and training sample train grader, obtain
Massage service scheme identification model.
Specifically, due to input feature value and the massage service scheme categories of training sample known to the present embodiment, therefore
Using the input feature value of training sample as grader input vector, using the massage service scheme categories of training sample as
The output vector of grader, thus train massage service scheme identification model.Wherein, the grader in the present embodiment can be
Bayes classifier, support vector machine classifier, maximum entropy classifiers etc..
Step S204, gathers the attribute information corresponding with user property entry of client to be massaged.
Specifically, because the present embodiment default user property entry includes sex, age, professional three attributes entries,
Then the present embodiment gather client to be massaged with this three attributes entries respectively corresponding attribute informations it is assumed that the present embodiment collection
It is respectively man, 35 years old, taxi driver to attribute information corresponding with above three user property entry with client to be massaged.
Step S205, extracts the input feature value of client to be massaged according to attribute information.
Specifically, after the attribute information treating massage client is normalized, the input that can obtain client to be massaged is special
Levy vector.
Step S206, the input feature value of client to be massaged is inputted massage service scheme identification model, obtain treat by
Rub the massage service scheme of client.
Specifically, the input feature value of client to be massaged is inputted massage service scheme identification model, be then readily available
The massage service scheme of client to be massaged, for example, massage time length+massage force is big.
As can be seen here, the acquisition of the method for servicing of massage robot is dexterously converted to massage service scheme by the present embodiment
Selection, and by designing and train massage service scheme identification model, determine the massage service scheme of client massage, reality
Having showed the client to be massaged for different attribute information characteristics provides targetedly massage service scheme, and intelligence degree is high, uses
Family experience is good.
Simplify embodiment two
Reference Fig. 3, the method for servicing of the massage robot that embodiment two offer is provided of the present invention, including：
Step S301, presets user property entry and massage service scheme categories.
Specifically, the user property entry in the present embodiment including but not limited to includes sex, age, education background, duty
One or more of industry, health states, height, body weight, massage service preference, history massage service scheme entry group
Close.Assume that the user property entry that the present embodiment pre-sets includes sex, age, height, four attributes entries of body weight.
Additionally, the massage service scheme categories of the present embodiment including but not limited to massage time, massage force, massage product
The combination of one or more of product, massage order, massage part service plan.Assume the massage service that the present embodiment pre-sets
Scheme categories are massage force, massage products, the combination of massage part, and assume that the present embodiment is divided into dynamics for massage force
Large, medium and small；It is divided into diet products, cosmetics for massage products；It is divided into face, back, waist for massage part.Then
Massage service scheme categories can be obtained and be specially 3*2*3=18 kind, here differs and one lists.In actual implementation process, pin
To the concrete classification of each massage service scheme categories by User Defined, for example, can also include head for massage part
Massage, hand massage etc..
Step S302, the sample behavioral data corresponding with user property entry of collection training sample, and according to sample row
Extract the input feature value of training sample for data.
Specifically, the massage service scheme identification model higher in order to obtain discrimination, the training sample that the present embodiment is chosen
This quantity should be tried one's best greatly.The quantity of the training sample that hypothesis the present embodiment is chosen is N, then be directed to this N number of training sample, point
Not Cai Ji sample behavioral data corresponding with user property entry, and extracted according to the sample behavioral data of each training sample
Corresponding input feature value.The user property entry being pre-set due to the present embodiment is four, namely be directed to every
One training sample, can collect corresponding 4 data.In actual implementation process, the present embodiment collection training
The input of training sample after the sample behavioral data corresponding with user property entry of sample, is extracted according to sample behavioral data
Before characteristic vector, also include sample behavioral data is normalized.
Step S303, the massage service scheme categories according to input feature value and training sample train grader, obtain
Massage service scheme identification model.
Specifically, due to input feature value and the massage service scheme categories of training sample known to the present embodiment, therefore
Using the input feature value of training sample as grader input vector, using the massage service scheme categories of training sample as
The output vector of grader, thus train massage service scheme identification model.Wherein, the grader in the present embodiment can be
Bayes classifier, support vector machine classifier, maximum entropy classifiers etc..
Step S304, obtains the biological characteristic of client to be massaged.
Specifically, because the present embodiment trains after massage service scheme identification model, need to obtain client's to be massaged
Attribute information, in actual implementation process, the present embodiment can be identified by treating the identity of massage client, so as to
The attribute information corresponding with user property entry of quick obtaining client to be massaged.Specifically, obtain client's to be massaged first
Biological characteristic, and massage robot can treat any one or more of biological special of massage client in specific implementation process
Levy and obtained, such as in the face of client to be massaged, fingerprint, sound, abnormal smells from the patient, iris, hand, palmmprint, signature, gait
Plant or multiple combination feature is obtained, present embodiment assumes that the biological characteristic obtaining is the face characteristic of client to be massaged.
Step S305, biological characteristic is mated with the sample biological characteristic being stored in advance in data base, thus knowing
The identity of client not massaged.
Specifically, the present embodiment will collect face in the face characteristic of client to be massaged and the data base of massage robot
Sample characteristics are mated, thus the identity realizing treating massage client is identified.Present embodiment assumes that can be from data base
Match the face sample characteristics mating with the face characteristic of client to be massaged, and the face characteristic identification according to client to be massaged
Going out its identity name is Zhang San.
Step S306, the attribute information corresponding with user property entry of the identity-acquiring according to client to be massaged.
Specifically, when the present embodiment identifies when the identity massaging client is Zhang San, just can be in customer database
Coupling Zhang San attribute information corresponding with user property entry it is also possible to by internet hunt Zhang San and user property bar
The corresponding attribute information of mesh.Assume that the present embodiment collects the attribute information corresponding with aforementioned four user property entry of Zhang San
Be respectively female, 30 years old, 165 centimetres, 70 kilograms.
Step S307, extracts the input feature value of client to be massaged according to attribute information.
Specifically, after the attribute information treating massage client is normalized, the input that can obtain client to be massaged is special
Levy vector.
Step S308, the input feature value of client to be massaged is inputted massage service scheme identification model, obtain treat by
Rub the massage service scheme of client.
Specifically, the input feature value of client to be massaged is inputted massage service scheme identification model, be then readily available
The massage service scheme of client to be massaged, for example, in massage force+weight-reducing massage product+waist massage.
As can be seen here, the present embodiment passes through to identify the identity of client to be massaged, and the identity-acquiring according to client to be massaged
Attribute information corresponding with user property entry, and the attribute information according to client to be massaged and the massage service side training
Case identification model, obtains the massage service scheme of client to be massaged, and solving existing massage robot cannot provide for client
The technical problem of personalized massage service, can not only obtain the attribute information of client to be massaged, can also be for difference
The client to be massaged of attribute information feature provides personalized service, and intelligence degree is high, and Consumer's Experience is good.
These are only the preferred embodiments of the present invention, be not limited to the present invention, for those skilled in the art
For member, the present invention can have various modifications and variations.All any modifications within the spirit and principles in the present invention, made,
Equivalent, improvement etc., should be included within the scope of the present invention.
Claims (8)
1. a kind of method of servicing of massage robot is it is characterised in that include：
Preset user property entry and massage service scheme categories；
The sample behavioral data corresponding with described user property entry of collection training sample, and according to described sample behavioral data
Extract the input feature value of described training sample；
Massage service scheme categories according to described input feature value and described training sample train grader, obtain massage clothes
Business scheme identification model；
According to client to be massaged attribute information corresponding with described user property entry and the identification of described massage service scheme
Model, the massage service scheme of client to be massaged described in determination.
2. the method for servicing of massage robot according to claim 1 is it is characterised in that according to client to be massaged and institute
State the corresponding attribute information of user property entry and described massage service scheme identification model, client to be massaged described in determination
Massage service scheme includes：
Gather the attribute information corresponding with described user property entry of client to be massaged；
The input feature value of client to be massaged according to described attribute information extracts；
The input feature value of described client to be massaged is inputted described massage service scheme identification model, waits to massage described in acquisition
The massage service scheme of client.
3. massage robot according to claim 2 method of servicing it is characterised in that gather client to be massaged with institute
State the corresponding attribute information of user property entry to include：
Identify the identity of client to be massaged；
Identity-acquiring according to described client to be massaged attribute information corresponding with described user property entry.
4. the method for servicing of massage robot according to claim 3 is it is characterised in that identify the identity of client to be massaged
Including：
Obtain the biological characteristic of client to be massaged；
Described biological characteristic being mated with the sample biological characteristic being stored in advance in data base, being treated massage visitor thus identifying
The identity at family.
5. the method for servicing of massage robot according to claim 4 is it is characterised in that work as described biological characteristic with advance
When the sample biological characteristic being stored in data base does not match that, also include：
The username information of the biometric matches of search and described client to be massaged on the internet；
The identity of client to be massaged according to the identification of described username information.
6. the method for servicing according to the arbitrary described massage robot of claim 3 to 5 it is characterised in that according to described treat by
The identity-acquiring attribute information corresponding with described user property entry of client of rubbing includes：
According to the corresponding username information of the identities match of described client to be massaged；
The electronic register information of client to be massaged according to described username information obtains；
The base attribute information of client to be massaged and user behaviors log information according to described electronic register acquisition of information, and according to
Described base attribute information and user behaviors log information retrieval attribute information corresponding with described user property entry.
7. the method for servicing of massage robot according to claim 6 is it is characterised in that described user property entry bag
Include：
Sex, age, education background, occupation, health states, height, body weight, massage service preference, history massage service
One or more of scheme entry combines.
8. the method for servicing of massage robot according to claim 7 is it is characterised in that described massage service scheme categories
Including：
The combination of one or more of massage time, massage force, massage products, massage order, massage part service plan.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610824484.0A CN106407930A (en) | 2016-09-18 | 2016-09-18 | Service method of massage robot |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610824484.0A CN106407930A (en) | 2016-09-18 | 2016-09-18 | Service method of massage robot |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106407930A true CN106407930A (en) | 2017-02-15 |
Family
ID=57996471
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610824484.0A Pending CN106407930A (en) | 2016-09-18 | 2016-09-18 | Service method of massage robot |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106407930A (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108231179A (en) * | 2017-09-26 | 2018-06-29 | 深圳市超级人生科技有限公司 | A kind of massage control method of massager, device and equipment |
| CN108210265A (en) * | 2017-09-26 | 2018-06-29 | 深圳市超级人生科技有限公司 | Massage state adjustment method, device and the equipment of a kind of massager |
| CN108765755A (en) * | 2018-05-28 | 2018-11-06 | 苏州创存数字科技有限公司 | A kind of shared massage apparatus and its working method based on regional information |
| CN110175193A (en) * | 2019-04-11 | 2019-08-27 | 苏州中林院古法点筋健康管理有限公司 | A kind of massage data processing cloud service platform system |
| CN110785269A (en) * | 2017-06-26 | 2020-02-11 | 卡普西克斯公司 | Device for managing the movements of a robot and a related treatment robot |
| CN111126422A (en) * | 2018-11-01 | 2020-05-08 | 百度在线网络技术（北京）有限公司 | Industry model establishing method, industry determining method, industry model establishing device, industry determining equipment and industry determining medium |
| CN111524573A (en) * | 2020-04-07 | 2020-08-11 | 上海掌门科技有限公司 | Method and device for managing massage device |
| WO2021190324A1 (en) * | 2020-03-23 | 2021-09-30 | 未来穿戴技术有限公司 | Data processing method, neck massage device, computer device and storage medium |
| CN115047924A (en) * | 2022-06-20 | 2022-09-13 | 深圳市朗大科技有限公司 | Interactive control method and system of portable medicine patch hot compress instrument |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1759822A (en) * | 2004-10-15 | 2006-04-19 | 严红缨 | Massage method of intelligent initiative type appliance and massage robot |
| CN105100269A (en) * | 2015-08-27 | 2015-11-25 | 努比亚技术有限公司 | Mobile terminal and content recommending method based on different users |
| CN204910064U (en) * | 2015-06-02 | 2015-12-30 | 京东方科技集团股份有限公司 | Appearance is instructed in massage |
-
2016
- 2016-09-18 CN CN201610824484.0A patent/CN106407930A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1759822A (en) * | 2004-10-15 | 2006-04-19 | 严红缨 | Massage method of intelligent initiative type appliance and massage robot |
| CN204910064U (en) * | 2015-06-02 | 2015-12-30 | 京东方科技集团股份有限公司 | Appearance is instructed in massage |
| CN105100269A (en) * | 2015-08-27 | 2015-11-25 | 努比亚技术有限公司 | Mobile terminal and content recommending method based on different users |
Non-Patent Citations (2)
| Title |
|---|
| 刘玲云: "中医按摩机器人专家***的研究", 《中国优秀硕士学位论文全文数据库》 * |
| 林朝阳等: "基于模糊控制的智能按摩椅研究", 《机电工程》 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110785269A (en) * | 2017-06-26 | 2020-02-11 | 卡普西克斯公司 | Device for managing the movements of a robot and a related treatment robot |
| CN110785269B (en) * | 2017-06-26 | 2023-04-07 | 卡普西克斯公司 | Device for managing the movements of a robot and a related treatment robot |
| CN108231179A (en) * | 2017-09-26 | 2018-06-29 | 深圳市超级人生科技有限公司 | A kind of massage control method of massager, device and equipment |
| CN108210265A (en) * | 2017-09-26 | 2018-06-29 | 深圳市超级人生科技有限公司 | Massage state adjustment method, device and the equipment of a kind of massager |
| CN108765755A (en) * | 2018-05-28 | 2018-11-06 | 苏州创存数字科技有限公司 | A kind of shared massage apparatus and its working method based on regional information |
| CN111126422A (en) * | 2018-11-01 | 2020-05-08 | 百度在线网络技术（北京）有限公司 | Industry model establishing method, industry determining method, industry model establishing device, industry determining equipment and industry determining medium |
| CN111126422B (en) * | 2018-11-01 | 2023-10-31 | 百度在线网络技术（北京）有限公司 | Method, device, equipment and medium for establishing industry model and determining industry |
| CN110175193A (en) * | 2019-04-11 | 2019-08-27 | 苏州中林院古法点筋健康管理有限公司 | A kind of massage data processing cloud service platform system |
| WO2021190324A1 (en) * | 2020-03-23 | 2021-09-30 | 未来穿戴技术有限公司 | Data processing method, neck massage device, computer device and storage medium |
| CN111524573A (en) * | 2020-04-07 | 2020-08-11 | 上海掌门科技有限公司 | Method and device for managing massage device |
| CN115047924A (en) * | 2022-06-20 | 2022-09-13 | 深圳市朗大科技有限公司 | Interactive control method and system of portable medicine patch hot compress instrument |
| CN115047924B (en) * | 2022-06-20 | 2024-05-07 | 深圳市朗大科技有限公司 | Interactive control method and system of portable medicine patch hot compress instrument |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106407930A (en) | Service method of massage robot | |
| CN106096576B (en) | A kind of intelligent Service method of robot | |
| CN111190939B (en) | User portrait construction method and device | |
| CN102890776B (en) | The method that expression figure explanation is transferred by facial expression | |
| CN105069622B (en) | A kind of face recognition payment system and method for facing moving terminal | |
| US20170368683A1 (en) | User portrait based skill package recommendation device and method | |
| US20140095308A1 (en) | Advertisement distribution apparatus and advertisement distribution method | |
| KR102246109B1 (en) | Product recommendation system and method based on consumer preference | |
| CN110782318A (en) | Marketing method and device based on audio interaction and storage medium | |
| CN102890777B (en) | The computer system of recognizable facial expression | |
| CN104270253A (en) | Method, devices and system for user identity authentication | |
| CN107885886A (en) | To the method, apparatus and server of information recommendation sort result | |
| CN107305677A (en) | Product information method for pushing and device | |
| CN109325173B (en) | Reading content personalized recommendation method and system based on AI open platform | |
| CN107645559B (en) | Household appliance information pushing method, server, mobile terminal and storage medium | |
| KR101397951B1 (en) | System for operating beauty information portal site | |
| CN113961813A (en) | Information recommendation method, device, equipment and storage medium based on artificial intelligence | |
| CN113420230B (en) | Group chat-based matching consultation pushing method, related device, equipment and medium | |
| CN107958070A (en) | A kind of personalization message method for pushing based on user preference | |
| CN105376143B (en) | A kind of method and device identifying identity of the sender | |
| KR20180052858A (en) | Intelligent doll and operating method thereof | |
| CN111444377A (en) | Voiceprint identification authentication method, device and equipment | |
| CN115526659A (en) | Data analysis method, device, equipment and storage medium based on questionnaire | |
| CN109164986A (en) | Cloud disk data processing method, device, electronic equipment and storage medium | |
| CN111104952A (en) | Method, system and device for identifying food types and refrigerator |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170215 |
|
| RJ01 | Rejection of invention patent application after publication |