CN106997449A - Robot and face identification method with face identification functions - Google Patents
Robot and face identification method with face identification functions Download PDFInfo
- Publication number
- CN106997449A CN106997449A CN201610044075.9A CN201610044075A CN106997449A CN 106997449 A CN106997449 A CN 106997449A CN 201610044075 A CN201610044075 A CN 201610044075A CN 106997449 A CN106997449 A CN 106997449A
- Authority
- CN
- China
- Prior art keywords
- face
- recognition
- robot
- image
- identification
- 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.)
- Withdrawn
Links
Classifications
-
- 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
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
-
- 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
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Manipulator (AREA)
Abstract
The present invention relates to a kind of robot and face identification method with face identification functions.There is the robot of face identification functions to coordinate with outside server for this, including image acquisition units, image identification unit, communication unit and controller.Image acquisition units are used to catch more than one outer scene image.Image identification unit is used to obtain the facial image for possessing identification feature point from more than one outer scene image.Communication unit is used to be communicated with outside server.Controller connects the image acquisition units and the communication unit, the face recognition result for the server passback for carrying out recognition of face to outside server and receiving outside is transmitted by the communication unit for will be provided with the facial image of identification feature point, corresponding interactive model is started according to the face recognition result.The present invention obtains face recognition result by face recognition algorithms, different interactive models can be made for Different Individual, it is achieved thereby that the personalization of interactive model.
Description
Technical field
The present invention relates to robot, more particularly to a kind of robot and recognition of face side with face identification functions
Method.
Background technology
With the propulsion of mankind's urbanization process, the work rhythm of people is constantly accelerated, aging population and sky
The appearance of nest old man, the demand accompanied for pet is growing day by day.But real pet care nursing is very
It is time-consuming, and certain activity space is needed, it is a problem for the little family of living space.
Recent years, robot just develops towards intelligent direction, starts have the function such as sensation and perception.
Humanoid robot is accompanied to be increasingly becoming possibility therefore, it is possible to the family that is exchanged with people.
Current family accompanies humanoid robot to carry out simple interactive, the imitation harmony of such as action with the mankind
The imitation of sound, but its mutual-action behavior also greatly differs from each other compared with real pet.One of them is important to lack
Mistake is that family accompanies humanoid robot not possess face identification functions, therefore can not carry out individual character with kinsfolk
The interaction of change.
The content of the invention
The technical problems to be solved by the invention are to provide a kind of robot and face with face identification functions
Recognition methods, it is possible to achieve identification of the humanoid robot to face is accompanied by especially family of robot.
The technical scheme of the invention used to solve above-mentioned technical problem is a kind of with face identification functions
Robot, it coordinates with outside server, including image acquisition units, image identification unit, communication unit
And controller.Image acquisition units are used to catch more than one outer scene image.Image identification unit
For obtaining the facial image for possessing identification feature point from more than one outer scene image.Communication unit
For being communicated with outside server.Controller connects the image acquisition units and the communication unit, uses
Transmitted in the facial image that will be provided with identification feature point by the communication unit to outside server and enter pedestrian
Face recognizes and received the face recognition result of the server passback of outside, according to face recognition result startup pair
The interactive model answered.
In one embodiment of this invention, the controller opens the image in response to recognition of face enabled instruction
Collecting unit.
In one embodiment of this invention, the recognition of face enabled instruction is included in voice signal, the machine
People also includes speech signal collection unit, connects the speech signal collection unit and the voice signal of the controller
Recognition unit, the speech signal collection unit is used for the voice signal for gathering outside input, and the voice signal is known
Other unit is used to recognize the recognition of face enabled instruction in the voice signal.
In one embodiment of this invention, the recognition of face enabled instruction is included in touch signal, the machine
People also includes touch signal detection unit, connects the touch signal detection unit and the touch signal of the controller
Recognition unit, the touch signal detection unit is used to detect touch action to produce the touch signal, touch letter
Number recognition unit is used to recognize the recognition of face enabled instruction in the touch signal.
In one embodiment of this invention, the recognition of face enabled instruction is included in wireless signal, the machine
People also includes wireless signal communication unit, connects the wireless signal communication unit and the wireless signal of the controller
Recognition unit, the wireless signal communication unit is used for the wireless signal for receiving outside transmission, and the wireless signal is known
Other unit is used to recognize the recognition of face enabled instruction in the wireless signal.
In one embodiment of this invention, the controller exists in selected multiple images and possesses identification feature point
Facial image after also exclude without identification feature point facial image.
In one embodiment of this invention, the controller is used to be loaded into the feature associated with the face recognition result
Data bank, the interactive model is included in this feature data bank.
In one embodiment of this invention, the interactive model is by least one definition of following parameter：Fitness,
Cohesion and degree of intelligence, the wherein fitness characterize degree of cooperation of the robot to the instruction of individual, the parent
Density characterizes the intimate degree that robot is contacted with individual, and the degree of intelligence characterizes the intelligent grade of robot.
In one embodiment of this invention, the communication unit by the facial image for possessing identification feature point transmit to
The mode of outside server includes one of：The facial image is transmitted to one by WLAN
Home server；The facial image is transmitted to a cloud server by accessing the WLAN of internet；It is logical
Cross mobile Internet and transmit the facial image to a cloud server.
The present invention also proposes a kind of face identification method, comprises the following steps：Catch more than one outer scene
Image；The facial image for possessing identification feature point is obtained from more than one outer scene image；It will be provided with
The facial image of identification feature point is transmitted to outside server so that the server carries out recognition of face；And connect
Receive the face recognition result of server passback；And corresponding mutual dynamic model is started according to the face recognition result
Formula.
In one embodiment of this invention, the above method is further comprising the steps of：Start in response to recognition of face and refer to
Order, opens and catches more than one outer scene image.
In one embodiment of this invention, the recognition of face enabled instruction is included in voice signal, the sound
Should be in recognition of face enabled instruction：The voice signal of outside input is gathered, the people in the voice signal is recognized
Face recognizes enabled instruction and responded.
In one embodiment of this invention, the recognition of face enabled instruction is included in touch signal, the sound
Should be in recognition of face enabled instruction：Detect that touch action, to produce the touch signal, is recognized in the touch signal
Recognition of face enabled instruction and responded.
In one embodiment of this invention, the recognition of face enabled instruction is included in wireless signal, the sound
Should be in recognition of face enabled instruction：The wireless signal of outside transmission is received, the people in the wireless signal is recognized
Face recognizes enabled instruction and responded.
In one embodiment of this invention, obtained from more than one outer scene image and possess identification feature
The step of facial image of point, includes：A. judge an outer scene image whether comprising possessing identification feature point
Facial image；If b. the outer scene image includes the facial image for possessing identification feature point, enter step
Rapid d, otherwise into step c；C. continue to catch outer scene image, and return to step a；D. the people is obtained
Face image.
In one embodiment of this invention, gone back before starting corresponding interactive model according to the face recognition result
Including：The profile storehouse associated with the face recognition result is loaded into, the interactive model is provided included in this feature
Expect in storehouse.
In one embodiment of this invention, the interactive model is defined by least one of following parameter：Match somebody with somebody
Right, cohesion and degree of intelligence, the wherein fitness characterize cooperation journey of the robot to the instruction of individual
Degree, the cohesion characterizes the intimate degree that robot is contacted with individual, and the degree of intelligence characterizes the intelligence of robot
Grade.
In one embodiment of this invention, this possessed into the facial image of identification feature point from the robotic transfer
The step of to outside server, includes one of：The facial image is transmitted by WLAN to arrive
One home server；The facial image is transmitted to a cloud service by accessing the WLAN of internet
Device；The facial image is transmitted to a cloud server by mobile Internet.
The present invention is allowed to compared with prior art, pass through face recognition algorithms due to using above technical scheme
Face recognition result is obtained, different interactive models can be made for Different Individual, it is achieved thereby that mutually dynamic model
The personalization of formula.Resource of the part work of the recognition of face of the present invention all independent of robot is carried out, can be with
So that hardware configuration and the cost reduction of robot, and improve the efficiency of recognition of face.
Brief description of the drawings
For the above objects, features and advantages of the present invention can be become apparent, below in conjunction with accompanying drawing to this hair
Bright embodiment elaborates, wherein：
Fig. 1 shows the system block diagram of the robot with face identification functions of one embodiment of the invention；
Fig. 2 shows the system block diagram of the robot with face identification functions of another embodiment of the present invention；
Fig. 3 shows the face identification method flow chart of one embodiment of the invention.
Embodiment
Embodiments of the invention describe the face identification method and system of robot, and this method and system are especially suitable
Humanoid robot is accompanied in family.Needed of course it is to be understood that this method and system are equally applicable to other interacted with height
The robot asked, such as commerce services robot.In an embodiment of the present invention, by recognition of face and robot
Interactive model is associated.According to the Different Individual identified, assign robot different interactive models, so as to realize individual
The interaction of property.
Fig. 1 shows the system block diagram of the robot with face identification functions of one embodiment of the invention.With reference to
Shown in Fig. 1, the robot 100 of the present embodiment include image acquisition units 101, image identification unit 102,
Communication unit 103, execution unit 104 and controller 105.Image acquisition units 101 are used to catch one
Outer scene image more than individual, the example is camera.Image acquisition units 101 can be with continuous acquisition figure
Picture, can also separated in time gather a frame or a few two field pictures, depending on specific occasion.Image recognition list
Member 102 connects image acquisition units 101, and it, which is used to obtain from more than one outer scene image, possesses
The facial image of identification feature point.Communication unit 103 is configured to be communicated with a server 200, with reality
The correspondence with foreign country function of existing robot.The connection of controller 105 image acquisition units 101, communication unit 103
And execution unit 104, the overall operation for control machine people.For example controller 105 can be as needed
Each input equipment of such as image acquisition units 101 is ordered to catch external information, or order is for example performed
The equipment of unit 104 performs corresponding actions.
In the workflow of recognition of face, controller 105 is configured to perform following steps：It will be provided with identification
The facial image of characteristic point is transmitted to outside server 200 by communication unit 103 and carries out recognition of face；
The face recognition result of server passback outside receiving；Corresponding mutual dynamic model is started according to face recognition result
Formula.In addition, controller 105 may be additionally configured to carry out facial image preliminary processing.
One feature of the present embodiment is that most of work of recognition of face is not provided using the inside of robot
Source is completed, but the server outside relying on.What the outer scene image of 100 pairs of seizure of robot was carried out
Process step is preliminary treatment, it is intended to the facial image that there is face is therefrom selected, then by these face figures
Picture and recognition of face request are sent to server 200, and request performs recognition of face.Server 200 is equipped with
The program of face recognition algorithms is performed, can ask in response to recognition of face, carrying out characteristic point to image divides
Analysis, and be compared with face database, obtain recognition of face information.Here, the face in server 200 is known
Other algorithm can use known algorithm, no longer be developed in details herein.
Fig. 2 shows the system block diagram of the robot with face identification functions of another embodiment of the present invention.Ginseng
Examine shown in Fig. 2, the robot 100 of the present embodiment include image acquisition units 101, image identification unit 102,
Communication unit 103, execution unit 104 and controller 107.Image acquisition units 101 are used to catch one
Outer scene image more than individual, the example is camera.Image acquisition units 101 can be with continuous acquisition figure
Picture, can also separated in time gather a frame or a few two field pictures, depending on specific occasion.Image recognition list
Member 102 connects image acquisition units 101, and it, which is used to obtain from more than one outer scene image, possesses
The facial image of identification feature point.Speech signal collection unit 106 is configured to gather voice signal, mainly
Human voice signal.Robot various instructions interested are contained in voice signal.For example greet the finger of robot
The instruction for making, making robot complete the actions such as race, jump.The example of speech signal collection unit 106 is Mike
Wind.The connection speech signal collection of voice signal identification unit 107 unit 106 and controller 105, are configured to
Instruction in recognition of speech signals.Communication unit 103 is configured to be communicated with a server 200, with reality
The correspondence with foreign country function of existing robot.The connection of controller 105 image acquisition units 101, speech signal collection
Unit 106, voice signal identification unit 107, communication unit 103 and execution unit 104, for controlling
The overall operation of robot.Such as controller 105 can order as needed such as image acquisition units 101,
Each input equipment of speech signal collection unit 106 catches external information, or order such as execution unit
104 equipment performs corresponding actions.
In the workflow of recognition of face, controller 105 is configured to perform following steps：It will be provided with identification
The facial image of characteristic point is transmitted to outside server 200 by communication unit 103 and carries out recognition of face；
The face recognition result of server passback outside receiving；Corresponding mutual dynamic model is started according to face recognition result
Formula.In addition, controller 105 may be additionally configured to carry out facial image preliminary processing.
Robot can routinely be in standby or resting state, and (for example voice is exhaled for the startup of wait user
Call out).In an example, the collection of speech signal collection unit 106 voice signal, voice signal identification is single
Member 106 with the recognition of face enabled instruction in recognition of speech signals and can be transferred to controller 105, controller
105 in response to this enabled instruction, and image acquisition units 101 are opened accordingly and are started working.It is of course possible to manage
Solution, controller 105 can open image acquisition units 101 in other conditions.Such as sound of controller 105
Image acquisition units 101 should be opened in the shift knob of user.
One feature of the present embodiment is that most of work of recognition of face is not provided using the inside of robot
Source is completed, but the server outside relying on.What the outer scene image of 100 pairs of seizure of robot was carried out
Process step is preliminary treatment, it is intended to the facial image that there is face is therefrom selected, then by these face figures
Picture and recognition of face request are sent to server 200, and request performs recognition of face.Server 200 is equipped with
The program of face recognition algorithms is performed, can ask in response to recognition of face, carrying out characteristic point to image divides
Analysis, and be compared with face database, obtain recognition of face information.Here, the face in server 200 is known
Other algorithm can use known algorithm, no longer be developed in details herein.
In image identification unit 102, it can also judge whether an outer scene image is special comprising possessing identification
Facial image a little is levied, if then obtaining the facial image, if the notice image acquisition units 101 without if
Continue to catch outer scene image.
Communication unit 103 can use various ways to transmit facial image to server 200.For example communicate
Unit 103 can transmit facial image to home server by WLAN.The example of home server is
Personal computer or work station in family or other small-sized places, run recognition of face soft thereon
Part.The face database of kinsfolk can be pre-established in face recognition software, for matching identification.Communication unit 105
Also facial image can be transmitted to cloud server by accessing the WLAN of internet.Cloud server can
Be obtained ahead of time and the member that founds a family face database, for matching identification.Alternatively, communication unit 103 is also
Facial image can be transmitted by mobile Internet to cloud server.Typically used in commerce services robot
Cloud server is to store the face database of enough capacity and provide powerful process resource enough.
In above-mentioned example, recognition of face enabled instruction is included in voice signal.In alternate examples,
Recognition of face enabled instruction can also be included in touch signal or wireless signal.Such as robot includes touching
Touch detecting signal unit, connect the touch signal detection unit and the touch signal recognition unit of the controller,
The touch signal detection unit is used to detect touch action to produce the touch signal, the touch signal recognition unit
For recognizing the recognition of face enabled instruction in the touch signal；Or robot includes wireless signal communication list
Member, connect the wireless signal communication unit and the wireless signal recognition unit of the controller, the wireless signal leads to
News unit is used for the wireless signal for receiving outside transmission, and the wireless signal recognition unit is used to recognize the wireless communication
Recognition of face enabled instruction in number.
Execution unit 104 may include walking mechanism, limb action mechanism, expression controlling organization and loudspeaker
Deng.Execution unit 104 is interactive by the various different interactive models specified according to controller 105 and personal expansion.
Interactive model, such as fitness, cohesion and degree of intelligence can be defined with different dimensions.Coordinate
Degree characterizes degree of cooperation of the robot to the instruction of individual.Robot can provide product to some instructions of individual
Pole coordinates, and does not make cooperation to other instructions.Cohesion characterizes the intimate journey that robot is contacted with individual
Degree, such as distance, friendly action (for example embracing)/expression (such as smiling face), unfriendly action/
The presence or absence of expression and/or frequency etc..Degree of intelligence characterizes the intelligent grade of robot, such as memory, computing, ratio
Compared with, judge, study and the technical ability such as reasoning from logic number.Pass through fitness, cohesion and degree of intelligence
Cooperation, various personalized interactive model can be defined.These interactive models can also be with robot
Constantly correct and develop with the long-term interaction process of individual, to embody the achievement of interaction.
Each dimension of above-mentioned interactive model can be moved by the walking mechanism of execution unit 104, limbs
Make mechanism, expression controlling organization and loudspeaker, or other available mechanisms embody.For example in cohesion
Distance can be performed by walking mechanism, friendly/unfriendly action can be performed by limb action mechanism,
Friendly/unfriendly expression can be performed by controlling organization of expressing one's feelings.And the interpersonal voice interface of machine can lead to
Cross speech signal collection unit and loudspeaker is performed.
Of course it is to be understood that in different occasions, the definition mode of interactive model can be adjusted, such as
In commerce services humanoid robot, different interactive models can reflect robot to the preference of Different Individual,
Cognition in terms of personality.No matter in any occasion, different profile storehouses are could set up, this
A little profile storehouses can be associated with face recognition result (such as the individual that face recognition result is pointed to), and
Interactive model is included in profile storehouse.Controller 105 can be loaded into profile storehouse after recognition of face,
So as to start the interactive model wherein included.
Fig. 3 shows the face identification method flow chart of one embodiment of the invention.This method can be in Fig. 1, figure
Perform, can also perform in other systems in system shown in 2.With reference to shown in Fig. 3, the present embodiment
A kind of face identification method of robot, comprises the following steps：
In step 301, more than one outer scene image is caught；
In step 302, the face figure for possessing identification feature point is obtained from more than one outer scene image
Picture；
In step 303, the facial image that will be provided with identification feature point is transmitted to outside server for the clothes
Business device carries out recognition of face；
In step 304, the face recognition result returned from server is received；
In step 305, corresponding interactive model is started according to face recognition result.
In step 302, the face for possessing identification feature point is obtained from more than one outer scene image
The step of image, includes：A. judge an outer scene image whether comprising the facial image for possessing identification feature point；
If b. the outer scene image includes the facial image for possessing identification feature point, into step d, otherwise enter
Enter step c；C. continue to catch outer scene image, and return to step a；D. the facial image is obtained.
Before step 305, the profile storehouse associated with the face recognition result, this feature can be loaded into
Above-mentioned interactive model is included in data bank.
The robot and face identification method with face identification functions of the above embodiment of the present invention, by carrying
Image capture device in robot captures image in the scene, is then locally doing basic face point
Analysis is handled, and is found out and is uploaded onto the server after facial image, in server by utilizing face recognition algorithms to upload
Face carries out characteristic point analysis, is compared with face database, obtains face recognition result.Finally face is known
Other result passes back to robot from server, can make different interactive models for Different Individual, so that real
The personalization of interactive model is showed.The resource that the part of the recognition of face of the present invention works all independent of robot
Carry out, hardware configuration and the cost reduction of robot can be caused, and improve the efficiency of recognition of face.
Although the present invention is described with reference to current specific embodiment, common skill in the art
Art personnel are it should be appreciated that the embodiment of the above is intended merely to the explanation present invention, without departing from essence of the invention
Various equivalent change or replacement can be also made in the case of god, therefore, as long as in the connotation of the present invention
In the range of the change, modification of above-described embodiment will all be fallen in the range of following claims.
Claims (14)
1. a kind of robot with face identification functions, it coordinates with outside server, it is characterised in that
Including：
Image acquisition units, for catching more than one outer scene image；
Image identification unit, possesses identification feature point for being obtained from more than one outer scene image
Facial image；
Communication unit, for being communicated with outside server；
Controller, connects the image identification unit and the communication unit, the people for will be provided with identification feature point
Face image transmits the service for carrying out recognition of face to outside server and receiving outside by the communication unit
The face recognition result of device passback, corresponding interactive model is started according to the face recognition result.
2. there is the robot of face identification functions as claimed in claim 1, it is characterised in that the controller
The image acquisition units are opened in response to recognition of face enabled instruction.
3. there is the robot of face identification functions as claimed in claim 2, it is characterised in that the face is known
Other enabled instruction is included in voice signal, and the robot also includes speech signal collection unit, connects the language
The voice signal identification unit of sound signal gathering unit and the controller, the speech signal collection unit is used to adopt
Collect the voice signal of outside input, the voice signal identification unit is used to recognize that the face in the voice signal to be known
Other enabled instruction；Or the recognition of face enabled instruction is included in touch signal, the robot also includes touching
Detecting signal unit, the touch signal detection unit and the touch signal recognition unit of the controller are connected, should
Touch signal detection unit is used to detect touch action to produce the touch signal, and the touch signal recognition unit is used
In recognize the touch signal in recognition of face enabled instruction；Or the recognition of face enabled instruction is included in wirelessly
In signal, the robot also includes wireless signal communication unit, connects the wireless signal communication unit and the control
The wireless signal recognition unit of device processed, the wireless signal communication unit is used for the wireless signal for receiving outside transmission,
The wireless signal recognition unit is used to recognize the recognition of face enabled instruction in the wireless signal.
4. there is the robot of face identification functions as claimed in claim 1, it is characterised in that the controller
The facial image for possessing identification feature point is obtained from more than one outer scene image in image identification unit
The facial image for not possessing identification feature point is also excluded afterwards.
5. there is the robot of face identification functions as claimed in claim 1, it is characterised in that the controller
For being loaded into the profile storehouse associated with the face recognition result, the interactive model is included in this feature data
In storehouse.
6. there is the robot of face identification functions as claimed in claim 1, it is characterised in that the mutual dynamic model
Formula is by least one definition of following parameter：Fitness, cohesion and degree of intelligence, the wherein fitness
Degree of cooperation of the robot to individual instruction is characterized, the cohesion characterizes the intimate journey that robot is contacted with individual
Degree, the degree of intelligence characterizes the intelligent grade of robot.
7. there is the robot of face identification functions as claimed in claim 1, it is characterised in that the communication unit
Member by the mode that the facial image for possessing identification feature point is transmitted to outside server include it is following wherein it
One：
The facial image is transmitted to a home server by WLAN；
The facial image is transmitted to a cloud server by accessing the WLAN of internet；
The facial image is transmitted to a cloud server by mobile Internet.
8. the recognition of face of the robot with face identification functions described in a kind of application claim any one of 1-7
Method, it is characterised in that comprise the following steps：
Catch more than one outer scene image；
The facial image for possessing identification feature point is obtained from more than one outer scene image；
The facial image that will be provided with identification feature point is transmitted to outside server so that the server enters pedestrian
Face is recognized；
And receive the face recognition result of server passback；And
Corresponding interactive model is started according to the face recognition result.
9. face identification method as claimed in claim 8, further comprising the steps of：
In response to recognition of face enabled instruction, open and catch more than one outer scene image.
10. face identification method as claimed in claim 9, it is characterised in that the recognition of face enabled instruction
It is described to be in response to recognition of face enabled instruction included in voice signal：Gather the voice letter of outside input
Number, recognize the recognition of face enabled instruction in the voice signal and responded；Or
The recognition of face enabled instruction is included in touch signal, described in response to recognition of face enabled instruction
For：Detection touch action recognizes recognition of face enabled instruction in the touch signal simultaneously to produce the touch signal
Responded；Or
The recognition of face enabled instruction is included in wireless signal, described in response to recognition of face enabled instruction
For：The wireless signal of outside transmission is received, the recognition of face enabled instruction in the wireless signal is recognized and carries out
Response.
11. face identification method as claimed in claim 8, it is characterised in that from more than one external field
The step of possessing the facial image of identification feature point is obtained in scape image to be included：
A. judge an outer scene image whether comprising the facial image for possessing identification feature point；
If b. the outer scene image includes the facial image for possessing identification feature point, no into step d
Then enter step c；
C. continue to catch outer scene image, and return to step a；
D. the facial image is obtained.
12. face identification method as claimed in claim 8, it is characterised in that according to the face recognition result
Also include before starting corresponding interactive model：The profile storehouse associated with the face recognition result is loaded into,
The interactive model is included in this feature data bank.
13. face identification method as claimed in claim 8, it is characterised in that the interactive model is by following parameter
At least one definition：Fitness, cohesion and degree of intelligence, the wherein fitness characterize robot
To the degree of cooperation of individual instruction, the cohesion characterizes the intimate degree that robot is contacted with individual, the intelligence
Degree characterizes the intelligent grade of robot.
14. face identification method as claimed in claim 8, it is characterised in that this is possessed into identification feature point
Facial image transmit to the mode of outside server and include one of：
The facial image is transmitted to a home server by WLAN；
The facial image is transmitted to a cloud server by accessing the WLAN of internet；
The facial image is transmitted to a cloud server by mobile Internet.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610044075.9A CN106997449A (en) | 2016-01-22 | 2016-01-22 | Robot and face identification method with face identification functions |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610044075.9A CN106997449A (en) | 2016-01-22 | 2016-01-22 | Robot and face identification method with face identification functions |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106997449A true CN106997449A (en) | 2017-08-01 |
Family
ID=59428300
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610044075.9A Withdrawn CN106997449A (en) | 2016-01-22 | 2016-01-22 | Robot and face identification method with face identification functions |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106997449A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107743081A (en) * | 2017-09-30 | 2018-02-27 | 广东美的制冷设备有限公司 | Home appliance and its control method, system and computer-readable recording medium |
| CN108839014A (en) * | 2018-05-31 | 2018-11-20 | 芜湖星途机器人科技有限公司 | remote control robot |
| CN109901612A (en) * | 2017-12-07 | 2019-06-18 | 北京臻迪科技股份有限公司 | Unmanned aerial vehicle (UAV) control method, apparatus and unmanned plane |
-
2016
- 2016-01-22 CN CN201610044075.9A patent/CN106997449A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107743081A (en) * | 2017-09-30 | 2018-02-27 | 广东美的制冷设备有限公司 | Home appliance and its control method, system and computer-readable recording medium |
| CN109901612A (en) * | 2017-12-07 | 2019-06-18 | 北京臻迪科技股份有限公司 | Unmanned aerial vehicle (UAV) control method, apparatus and unmanned plane |
| CN108839014A (en) * | 2018-05-31 | 2018-11-20 | 芜湖星途机器人科技有限公司 | remote control robot |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2021082749A1 (en) | Action identification method based on artificial intelligence and related apparatus | |
| CN107894833B (en) | Multi-modal interaction processing method and system based on virtual human | |
| WO2021104110A1 (en) | Voice matching method and related device | |
| US10061389B2 (en) | Gesture recognition system and gesture recognition method | |
| CN109176535B (en) | Interaction method and system based on intelligent robot | |
| CN103824481B (en) | A kind of method that user of detection recites and device | |
| US20190188903A1 (en) | Method and apparatus for providing virtual companion to a user | |
| CN106997243B (en) | Speech scene monitoring method and device based on intelligent robot | |
| CN104410883A (en) | Mobile wearable non-contact interaction system and method | |
| CN106965193A (en) | A kind of intelligent robot diagnosis guiding system | |
| CN102932212A (en) | Intelligent household control system based on multichannel interaction manner | |
| CN110253595B (en) | Intelligent equipment control method and device | |
| CN110084192B (en) | Rapid dynamic gesture recognition system and method based on target detection | |
| WO2018108176A1 (en) | Robot video call control method, device and terminal | |
| KR20100001928A (en) | Service apparatus and method based on emotional recognition | |
| CN112016367A (en) | Emotion recognition system and method and electronic equipment | |
| CN105042789B (en) | The control method and system of a kind of intelligent air condition | |
| CN109841217A (en) | A kind of AR interactive system and method based on speech recognition | |
| CN109172066A (en) | Intelligent artificial limb hand and its system and method based on voice control and visual identity | |
| CN106502382A (en) | Active exchange method and system for intelligent robot | |
| CN109857929A (en) | A kind of man-machine interaction method and device for intelligent robot | |
| CN111444982A (en) | Information processing method and device, electronic equipment and readable storage medium | |
| CN111917999A (en) | Video processing method, mobile terminal and readable storage medium | |
| CN106997449A (en) | Robot and face identification method with face identification functions | |
| CN113703585A (en) | Interaction method, interaction device, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20170801 |