CN105824416B - A method of by virtual reality technology in conjunction with cloud service technology - Google Patents
A method of by virtual reality technology in conjunction with cloud service technology Download PDFInfo
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Abstract
The invention discloses a kind of methods by virtual reality technology in conjunction with cloud service technology, it includes contextual data acquisition and uploading step, data download step, scene mapping step, positioning step and motion mode mapping step.The world of Virtual Realization is associated by the present invention with real world, carries out real-time display by being located in the small map in the world of Virtual Realization, while factum movement can be observed in real time in user；Specifically, the building of real world is carried out to the displaying of 3-D view by the way of small map, and associated with positioning, it is visual in image；Analysis actual environment is understood using application reality scene sensing technology and corresponding calculation process technology, by some Feature Mappings in actual environment into the virtual scene for being presented to user, to improve user experience.
Description
Technical field
The present invention relates to a kind of methods by virtual reality technology in conjunction with cloud service technology.
Background technique
Virtual reality technology is a kind of can to create that it utilizes computer with the computer simulation system in the experiencing virtual world
Generate the system emulation that a kind of simulated environment is a kind of interactive Three-Dimensional Dynamic what comes into a driver's and entity behavior of Multi-source Information Fusion
It is immersed to user in the environment.Meanwhile virtual reality is the virtual world that a three-dimensional space is generated using computer simulation, is mentioned
Simulation for user about sense organs such as vision, the sense of hearing, tactiles, allows user as being personally on the scene, can in time, do not have
Things in limitation ground observation three-dimensional space.Virtual reality is the synthesis of multiple technologies, including real-time three-dimensional computer graphical skill
Art, wide-angle (the wide visual field) stereo display technique are felt feedback to tracking technique and tactile/power of observer's head, eye and hand, are stood
Body sound, network transmission, voice input and output technology etc..
In virtual reality technology, when user carries out position movement, computer can carry out complicated operation immediately, will
The accurate world 3D image passes generation telepresenc back.The Integration ofTechnology computer graphical (CG) technology, Computer Simulation skill
The later development of the technologies such as art, artificial intelligence, sensing technology, display technology, network parallel processing is one kind by computer
The high-tech simulation system that technology auxiliary generates.
However existing virtual reality technology can not be associated with real real world, user can not be by virtual reality
In the world connected with real world, therefore always generate distance perception.Meanwhile also not by virtual reality and cloud service into
Row combines.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide a kind of by virtual reality technology and cloud service technology
In conjunction with method, the true world in the world of virtual reality and reality is associated, while using cloud, is facilitated multiple
The realization of virtual reality terminal.
The purpose of the present invention is achieved through the following technical solutions: a kind of by virtual reality technology and cloud service technology
In conjunction with method, it include contextual data acquisition with uploading step, data download step, scene mapping step, positioning step and
Motion mode mapping step；
The contextual data acquisition and the entity object that uploading step includes: that user treats the reality of virtual image in advance
Data acquisition is carried out, acquisition is uploaded to Cloud Server after completing and is saved；
The data download step includes: that user passes through virtual reality terminal in Cloud Server to corresponding scene number
According to being downloaded；
The scene mapping step is used for the region around the virtual scene of the data of downloading and user virtual
Non-real end carries out virtual reality and shows, including for the entity object of virtual network element and reality to be shown in geographical letter
The first scene mapping sub-step of composite space is formed among breath system and for scene around to be mapped as the of virtual scene
Two scene mapping steps；
The GIS-Geographic Information System includes electronic three-dimensional map, and the first scene mapping sub-step includes following son
Step:
S111: the network element is subjected to GISization, the network element is the virtual object being not present in reality
Body；
S112: the composite space is subjected to three-dimensional visualization；
S113: composite space and dummy object position after virtual reality terminal presentation three-dimensional visualization；
The second scene mapping step includes following sub-step:
S121: the reality scene information of user's surrounding enviroment is captured by reality scene sensing module；
S122: calculation processing module extracts reality scene feature from the reality scene information, based on setting in advance
The reality scene Feature Mapping is to be used to construct the feature of virtual scene, and be used for based on described by fixed mapping relations
Construct the feature construction virtual reality scenario information of virtual scene；
S123: the virtual reality scenario information is presented in virtual reality terminal；
The positioning step includes:
S21: initialization indoor reference point is loaded into reference point information in database；
S22: setting queue and filter parameter, acquisition WIFI signal data to queue；
S23: using the data queue of acquisition, the corresponding RSSI mean value of each AP on current location is calculated；
S24: traversing all reference points, and whether the RSSI mean value calculated according to step S23 refers in corresponding AP about certain
Within the section RSSI of point, judge whether the reference point is concentrated in the judgement of corresponding A P；
S25: the intersection of each AP judgement collection is asked:
(1) it if only one reference point in intersection, is exported the reference point coordinate as the estimation of algorithm, and terminate；
(2) if more than one reference point in intersection, RSSI error vector is calculated, according to error to the reference point in intersection
Sequence, and the wherein the smallest k point of error is selected, estimated result is calculated to weight k nearest neighbor algorithm, and terminate；
(3) if intersection is empty set, the center of each judgement collection is calculated, and using the center at these collection centers as in the overall situation
The heart excludes the center judgement collection farthest away from Global center using Euler's distance, and makees sub-step in step S25 to remaining judgement collection
Suddenly (1), sub-step (2) and sub-step (3) intersection operation, until obtaining estimated result, and terminate；If going to the last layer
Still it cannot get as a result, executing sub-step (4)；
(4) if sub-step (3) goes to the last layer, intersection is still empty set, then utilizes current RSSI mean value and reference
Error distance between point RSSI mean value calculates estimated result using weighting k nearest neighbor algorithm according to RSSI error minimum principle；
S26: location information and the composite space after three-dimensional visualization are mapped, and it is current fixed to show in composite space
Position information；
The motion mode positioning step includes following sub-step:
S31: multiple and virtual reality terminal association sensory package is set in personal joint；
S32: the information of each sensory package is sent to virtual reality terminal in real time；
S33: virtual reality terminal is parsed after receiving information, and is presented on the virtual reality scenario information
In.
The virtual reality terminal is virtual implementing helmet or mobile terminal.
The positioning step further includes an off-line training step:
S201: discretization area to be targeted uniformly takes N number of position as a reference point in area to be targeted；
S202: the reference spot scan WIFI signal described in each step S201 records each AP in continuous a period of time
Received signal strength indication value RSSI；
S203: RSSI vector obtained in processing step 202 calculates each AP in RSSI mean value, the variance of the reference point
And minimax section, the mark SSID by these parameters together with corresponding A P are saved in database；
S204: carrying out S203 and step S204 to all reference points and operate, and finishes until all reference points are all trained,
To establish the complete RSSI distribution map in area to be targeted.
Composite space after the three-dimensional visualization is the 3-D view of building.
The visual angle that the composite space after three-dimensional visualization is presented in the virtual reality terminal is adjustable.
The reality scene information that user's surrounding enviroment are captured described in step S121 is capture user's surrounding enviroment image
Time series frame data；The calculation processing module extracts reality scene feature to institute from the reality scene information
It states time series frame data and carries out pattern recognition analysis, to extract reality scene feature.
The reality scene sensing module includes: that depth camera sensor, depth camera sensor and RGB camera shooting pass
One in the binding entity of sensor, ultrasonic wave orientation sensing module, thermal imaging orientation sensing module and electromagnetic location sensing module
Kind or a variety of combinations.
The sensory package includes 3-axis acceleration sensor, three axis angular rate sensors, three axis geomagnetic sensors
It is one or more kinds of.
When the data of some scene in Cloud Server are updated, pushed to the virtual reality terminal for downloading the scene
Message reminds the virtual reality terminal to be updated.
The beneficial effects of the present invention are:
The world of Virtual Realization is associated by the present invention with real world, by be located in Virtual Realization the world it is small
Map carries out real-time display, while factum movement can be observed in real time in user.Meanwhile using cloud, in advance will
Contextual data, which is acquired, to be stored in Cloud Server, needs virtual reality terminal to be used only with downloading.
Specifically, by the way of small map by real world building carry out 3-D view displaying, and with positioning
It is associated, it is visual in image；Understood using application reality scene sensing technology and corresponding calculation process technology and analyzes real ring
Border, by some Feature Mappings in actual environment into the virtual scene for being presented to user, to improve user experience；And
And positioning method therein realizes that the positioning of mobile target (people, equipment) and three-dimensional position are shown, is the base of virtual reality terminal
In location-based service application provide coordinate estimation, have higher precision and it is lower delay (delay can by the scan period come
Setting indirectly)；In addition, Cloud Server, which also provides, updates push function, reliability is improved.
Detailed description of the invention
Fig. 1 is the method for the present invention flow chart.
Specific embodiment
Technical solution of the present invention is described in further detail with reference to the accompanying drawing:
As shown in Figure 1, a kind of method by virtual reality technology in conjunction with cloud service technology, it includes contextual data acquisition
With uploading step, data download step, scene mapping step, positioning step and motion mode mapping step；
The contextual data acquisition and the entity object that uploading step includes: that user treats the reality of virtual image in advance
Data acquisition is carried out, acquisition is uploaded to Cloud Server after completing and is saved；
The data download step includes: that user passes through virtual reality terminal in Cloud Server to corresponding scene number
According to being downloaded；
The scene mapping step is used for the region around the virtual scene of the data of downloading and user virtual
Non-real end carries out virtual reality and shows, including for the entity object of virtual network element and reality to be shown in geographical letter
The first scene mapping sub-step of composite space is formed among breath system and for scene around to be mapped as the of virtual scene
Two scene mapping steps；
The GIS-Geographic Information System includes electronic three-dimensional map, and the first scene mapping sub-step includes following son
Step:
S111: the network element is subjected to GISization, the network element is the virtual object being not present in reality
Body；
S112: the composite space is subjected to three-dimensional visualization；
S113: composite space and dummy object position after virtual reality terminal presentation three-dimensional visualization；
The second scene mapping step includes following sub-step:
S121: the reality scene information of user's surrounding enviroment is captured by reality scene sensing module；
S122: calculation processing module extracts reality scene feature from the reality scene information, based on setting in advance
The reality scene Feature Mapping is to be used to construct the feature of virtual scene, and be used for based on described by fixed mapping relations
Construct the feature construction virtual reality scenario information of virtual scene；
S123: the virtual reality scenario information is presented in virtual reality terminal；
The positioning step includes:
S21: initialization indoor reference point is loaded into reference point information in database；
S22: setting queue and filter parameter, acquisition WIFI signal data to queue；
S23: using the data queue of acquisition, the corresponding RSSI mean value of each AP on current location is calculated；
S24: traversing all reference points, and whether the RSSI mean value calculated according to step S23 refers in corresponding AP about certain
Within the section RSSI of point, judge whether the reference point is concentrated in the judgement of corresponding A P；
S25: the intersection of each AP judgement collection is asked:
(1) it if only one reference point in intersection, is exported the reference point coordinate as the estimation of algorithm, and terminate；
(2) if more than one reference point in intersection, RSSI error vector is calculated, according to error to the reference point in intersection
Sequence, and the wherein the smallest k point of error is selected, estimated result is calculated to weight k nearest neighbor algorithm, and terminate；
(3) if intersection is empty set, the center of each judgement collection is calculated, and using the center at these collection centers as in the overall situation
The heart excludes the center judgement collection farthest away from Global center using Euler's distance, and makees sub-step in step S25 to remaining judgement collection
Suddenly (1), sub-step (2) and sub-step (3) intersection operation, until obtaining estimated result, and terminate；If going to the last layer
Still it cannot get as a result, executing sub-step (4)；
(4) if sub-step (3) goes to the last layer, intersection is still empty set, then utilizes current RSSI mean value and reference
Error distance between point RSSI mean value calculates estimated result using weighting k nearest neighbor algorithm according to RSSI error minimum principle；
S26: location information and the composite space after three-dimensional visualization are mapped, and it is current fixed to show in composite space
Position information；
The motion mode positioning step includes following sub-step:
S31: multiple and virtual reality terminal association sensory package is set in personal joint；
S32: the information of each sensory package is sent to virtual reality terminal in real time；
S33: virtual reality terminal is parsed after receiving information, and is presented on the virtual reality scenario information
In.
The virtual reality terminal is virtual implementing helmet or mobile terminal.
The positioning step further includes an off-line training step:
S201: discretization area to be targeted uniformly takes N number of position as a reference point in area to be targeted；
S202: the reference spot scan WIFI signal described in each step S201 records each AP in continuous a period of time
Received signal strength indication value RSSI；
S203: RSSI vector obtained in processing step 202 calculates each AP in RSSI mean value, the variance of the reference point
And minimax section, the mark SSID by these parameters together with corresponding A P are saved in database；
S204: carrying out S203 and step S204 to all reference points and operate, and finishes until all reference points are all trained,
To establish the complete RSSI distribution map in area to be targeted.
Composite space after the three-dimensional visualization is the 3-D view of building.
The visual angle that the composite space after three-dimensional visualization is presented in the virtual reality terminal is adjustable.
The reality scene information that user's surrounding enviroment are captured described in step S121 is capture user's surrounding enviroment image
Time series frame data；The calculation processing module extracts reality scene feature to institute from the reality scene information
It states time series frame data and carries out pattern recognition analysis, to extract reality scene feature.
The reality scene sensing module includes: that depth camera sensor, depth camera sensor and RGB camera shooting pass
One in the binding entity of sensor, ultrasonic wave orientation sensing module, thermal imaging orientation sensing module and electromagnetic location sensing module
Kind or a variety of combinations.
The sensory package includes 3-axis acceleration sensor, three axis angular rate sensors, three axis geomagnetic sensors
It is one or more kinds of.
When the data of some scene in Cloud Server are updated, pushed to the virtual reality terminal for downloading the scene
Message reminds the virtual reality terminal to be updated.
The present embodiment is applied to market activity, and activity is held in certain market, is needed using to virtual reality, user needs logical
Cross the particular artifact that method of the invention searches out specific position.For example, finding virtual NPC etc..
Firstly, the entity object that user treats the reality of virtual image in advance carries out data acquisition, acquire on after completing
Cloud Server is reached to be saved；The data download step includes: that user passes through virtual reality terminal in Cloud Server
Corresponding contextual data is downloaded.When the data of some scene in Cloud Server are updated, to downloading the scene
Virtual reality terminal PUSH message, remind the virtual reality terminal to be updated.
Later, user obtains the mapping of the first scene, for the virtual scene of the data to downloading, carries out virtual reality and shows
The shape in i.e. entire market and the specific position of floor and virtual NPC.
S111: carrying out GISization for network element, and the network element is the dummy object being not present in reality,
Network element in the present embodiment is virtual NPC；
S112: carrying out three-dimensional visualization for the composite space, that is, obtain the shape and floor in entire market, can also
To include the part landform outside market；
S113: the shape and floor in the entire market after virtual reality terminal presentation three-dimensional visualization and virtual NPC exist
Some position in market, realizes (the picture occupied in virtual reality terminal by way of small map in the present embodiment
Face is a corner).
The visual angle that the composite space after three-dimensional visualization is presented in the virtual reality terminal is adjustable.
Then, user obtains the mapping of the second scene, that is, obtains the virtual reality information of ambient enviroment.
S121: the reality scene information of user's surrounding enviroment is captured by reality scene sensing module；
S122: calculation processing module extracts reality scene feature from the reality scene information, based on setting in advance
The reality scene Feature Mapping is to be used to construct the feature of virtual scene, and be used for based on described by fixed mapping relations
Construct the feature construction virtual reality scenario information of virtual scene；
S123: virtual reality terminal is presented the virtual reality scenario information and passes through virtual animation in the present embodiment
Form is realized and occupies all pictures of the entire picture in addition to small map segment.
Wherein, the reality scene information that user's surrounding enviroment are captured described in step S121 is capture user's surrounding enviroment
The time series frame data of image；The calculation processing module extracts reality scene feature from the reality scene information
Pattern recognition analysis is carried out to the time series frame data, to extract reality scene feature.
Then, user positions oneself.
The positioning step includes:
S21: initialization indoor reference point is loaded into reference point information in database；
S22: setting queue and filter parameter, acquisition WIFI signal data to queue；
S23: using the data queue of acquisition, the corresponding RSSI mean value of each AP on current location is calculated；
S24: traversing all reference points, and whether the RSSI mean value calculated according to step S23 refers in corresponding AP about certain
Within the section RSSI of point, judge whether the reference point is concentrated in the judgement of corresponding A P；
S25: the intersection of each AP judgement collection is asked:
(1) it if only one reference point in intersection, is exported the reference point coordinate as the estimation of algorithm, and terminate；
(2) if more than one reference point in intersection, RSSI error vector is calculated, according to error to the reference point in intersection
Sequence, and the wherein the smallest k point of error is selected, estimated result is calculated to weight k nearest neighbor algorithm, and terminate；
(3) if intersection is empty set, the center of each judgement collection is calculated, and using the center at these collection centers as in the overall situation
The heart excludes the center judgement collection farthest away from Global center using Euler's distance, and makees sub-step in step S25 to remaining judgement collection
Suddenly (1), sub-step (2) and sub-step (3) intersection operation, until obtaining estimated result, and terminate；If going to the last layer
Still it cannot get as a result, executing sub-step (4)；
(4) if sub-step (3) goes to the last layer, intersection is still empty set, then utilizes current RSSI mean value and reference
Error distance between point RSSI mean value calculates estimated result using weighting k nearest neighbor algorithm according to RSSI error minimum principle；
S26: location information and the composite space after three-dimensional visualization are mapped, and it is current fixed to show in composite space
Position information.I.e. oneself position location is carried out real-time display by user in small map.
Wherein, the database needs an off-line training step:
S201: discretization area to be targeted uniformly takes N number of position as a reference point in area to be targeted；
S202: the reference spot scan WIFI signal described in each step S201 records each AP in continuous a period of time
Received signal strength indication value RSSI；
S203: RSSI vector obtained in processing step 202 calculates each AP in RSSI mean value, the variance of the reference point
And minimax section, the mark SSID by these parameters together with corresponding A P are saved in database；
S204: carrying out S203 and step S204 to all reference points and operate, and finishes until all reference points are all trained,
To establish the complete RSSI distribution map in area to be targeted.
Finally, needing in real time to embody the motion mode of oneself in composite space:
S31: multiple and virtual reality terminal association sensory package is set in personal joint；
S32: the information of each sensory package is sent to virtual reality terminal in real time；
S33: virtual reality terminal is parsed after receiving information, and is presented on the virtual reality scenario information
In.
The sensory package includes 3-axis acceleration sensor, three axis angular rate sensors, three axis geomagnetic sensors
It is one or more kinds of.
The movement of user at this time can embody in virtual reality scenario information.
After above-mentioned all completions, user can start move at virtual NPC.
In the present embodiment, the virtual reality terminal is virtual implementing helmet or mobile terminal.It is specifically chosen root
It is considered according to the cost of businessman.
If needing to purchase dedicated equipment using virtual implementing helmet, but better effect.User can put on virtual existing
The real helmet carries out virtual NPC searching.And such method be suitable for personnel it is less in the case where.
If it is mobile terminal, such as mobile phone or tablet computer is used, then need to install corresponding software, it is convenient and efficient
But effect is poor for the method using virtual implementing helmet.Such method be suitable for personnel it is more in the case where.
Claims (1)
1. a kind of method that reality is carried out Virtual Realization, it is characterised in that: it includes contextual data acquisition and uploading step, number
It is fixed according to download step, scene mapping step, positioning step, motion mode mapping step, specific information triggering step, particular artifact
Position step and authorisation step；
The entity object that the contextual data acquisition includes: the reality that user treats virtual image in advance with uploading step carries out
Data acquisition, acquisition are uploaded to Cloud Server after completing and are saved；
The data download step include: user by virtual reality terminal in Cloud Server to corresponding contextual data into
Row downloading；
The scene mapping step is used for the region around the virtual scene of the data of downloading and user in virtual reality
Terminal carries out virtual reality and shows, including for the entity object of virtual network element and reality to be shown in geography information system
The first scene mapping sub-step of composite space is formed among system and for scene around to be mapped as second of virtual scene
Scape mapping step；
The GIS-Geographic Information System includes electronic three-dimensional map, and the first scene mapping sub-step includes following sub-step
It is rapid:
S111: the network element is subjected to GISization, the network element is the dummy object being not present in reality；
S112: the composite space is subjected to three-dimensional visualization；
S113: composite space and dummy object position after virtual reality terminal presentation three-dimensional visualization；
The second scene mapping step includes following sub-step:
S121: the reality scene information of user's surrounding enviroment is captured by reality scene sensing module；
S122: calculation processing module extracts reality scene feature from the reality scene information, based on preset
The reality scene Feature Mapping is to be used to construct the feature of virtual scene, and be used to construct based on described by mapping relations
The feature construction virtual reality scenario information of virtual scene；
S123: the virtual reality scenario information is presented in virtual reality terminal；
The positioning step includes:
S21: initialization indoor reference point is loaded into reference point information in database；
S22: setting queue and filter parameter, acquisition WIFI signal data to queue；
S23: using the data queue of acquisition, the corresponding RSSI mean value of each AP on current location is calculated；
S24: traversing all reference points, according to step S23 calculate RSSI mean value whether in corresponding AP about certain reference point
Within the section RSSI, judge whether the reference point is concentrated in the judgement of corresponding A P；
S25: the intersection of each AP judgement collection is asked:
(1) it if only one reference point in intersection, is exported the reference point coordinate as the estimation of algorithm, and terminate；
(2) if more than one reference point in intersection, RSSI error vector is calculated, the reference point in intersection is arranged according to error
Sequence, and the wherein the smallest k point of error is selected, estimated result is calculated to weight k nearest neighbor algorithm, and terminate；
(3) if intersection is empty set, the center of each judgement collection is calculated, and using the center at these collection centers as Global center, benefit
The center judgement collection farthest away from Global center is excluded with Euler's distance, and sub-step in step S25 is made to remaining judgement collection
(1), the intersection operation of sub-step (2) and sub-step (3), until obtaining estimated result, and terminates；If going to the last layer still
It cannot get as a result, executing sub-step (4)；
(4) if sub-step (3) goes to the last layer, intersection is still empty set, then utilizes current RSSI mean value and reference point
Error distance between RSSI mean value calculates estimated result using weighting k nearest neighbor algorithm according to RSSI error minimum principle；
S26: location information and the composite space after three-dimensional visualization are mapped, and display is when prelocalization letter in composite space
Breath；
The motion mode positioning step includes following sub-step:
S31: multiple and virtual reality terminal association sensory package is set in personal joint；
S32: the information of each sensory package is sent to virtual reality terminal in real time；
S33: virtual reality terminal is parsed after receiving information, and is presented in the virtual reality scenario information；
The specific information triggering step includes: when user reaches specific region, and virtual reality terminal triggers particular message,
Described in arrival specific region judgement by including in location determination or the picture frame occurred by virtual reality terminal
Preset specify information；
The particular artifact is physical objects, and the particular artifact positioning step includes:
S41: locating module is set in particular artifact；
S42: particular artifact is shown in composite space according to step S21 ~ step S26 method；
The authorisation step includes: after server is to virtual reality authorization terminal, and multiple virtual reality terminals appear in together
In one composite space, i.e. the virtual reality terminal of user shows the location information of the virtual reality terminal of multiple other users；
The virtual reality terminal is virtual implementing helmet or mobile terminal；
The positioning step further includes an off-line training step:
S201: discretization area to be targeted uniformly takes N number of position as a reference point in area to be targeted；
S202: the reference spot scan WIFI signal described in each step S201 records connecing for each AP in continuous a period of time
Receive signal strength indication value RSSI；
S203: RSSI vector obtained in processing step 202, calculate each AP the RSSI mean value of the reference point, variance and
Minimax section, the mark SSID by these parameters together with corresponding A P are saved in database；
S204: carrying out S203 and step S204 to all reference points and operate, and finishes until all reference points are all trained, thus
Establish the complete RSSI distribution map in area to be targeted；
Described in step S121 capture user's surrounding enviroment reality scene information be capture user's surrounding enviroment image when
Sequence frame data；The calculation processing module extracted from the reality scene information reality scene feature to it is described when
Sequence frame data carry out pattern recognition analysis, to extract reality scene feature；
The reality scene sensing module includes: depth camera sensor, depth camera sensor and RGB image sensor
One of binding entity, ultrasonic wave orientation sensing module, thermal imaging orientation sensing module and electromagnetic location sensing module or
A variety of combinations；
The sensory package includes one kind of 3-axis acceleration sensor, three axis angular rate sensors, three axis geomagnetic sensors
Or it is a variety of；
When the data of some scene in Cloud Server are updated, push and disappear to the virtual reality terminal for downloading the scene
Breath, reminds the virtual reality terminal to be updated；
The specific information triggering step includes following sub-step:
S41: judge in going game picture frame whether include target person specify information；
S42: if including the specify information of the target person in going game picture frame, the display position of the specify information is obtained
It sets；
S43: specified animation is added in the display position based on specify information described in going game picture frame；
The particular artifact positioning step further includes a sub-steps S43: when user carries the particular artifact and movement
When, it is shown in composite space；Wherein, judge that the step of personage carries particular artifact includes the biography that judgement is set to hand
Whether sensor keeps in a certain range whithin a period of time at a distance from the relative position of particular artifact；
The 3-axis acceleration sensor selects BMA250, three axis angular rate sensor MPU6050, three axis geomagnetic sensors
HMC5883。
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