CN106200964B - The method for carrying out human-computer interaction is identified in a kind of virtual reality based on motion track - Google Patents
The method for carrying out human-computer interaction is identified in a kind of virtual reality based on motion track Download PDFInfo
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
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Abstract
The invention discloses a kind of methods for identifying progress human-computer interaction based on motion track in virtual reality, including：Step 1, user's defined feature image set；Step 2, user defines track-event sets；Step 3, the one or more features image that user selects characteristic image to concentrate operates, and operating process is acquired in real time by video camera；Step 4, according to the position of characteristic image in the video of acquisition, the motion track of user's operation characteristic image in space is calculated；Step 5, the motion track of user's operation characteristic image is compared with user-defined characteristic image space motion track, when having single or a plurality of characteristic image space motion track matches user-defined characteristic image space motion track, triggers corresponding event.Man-machine interaction method provided by the invention can quickly identify motion track input by user, according to the recognition result of motion track, be manipulated to virtual reality, improve user experience.
Description
Technical field
The present invention relates to the field of virtual reality of computer science, and in particular to motion track is based in a kind of virtual reality
The method that identification carries out human-computer interaction.
Background technology
Virtual reality, abbreviation VR (virtual reality) are by VPL companies of U.S. founder Lanier (Jaron
Lanier it) proposes, is glaringly appeared in again after it experienced thoroughly failure the nineties big in early 1980s
In many visuals field.Its specific intension is：Computer graphics system and the interface equipments such as various reality and control are comprehensively utilized, is being counted
The technology for immersing feeling is provided in three-dimensional environment being generated on calculation machine, can interacting.VR (virtual reality) technology can be answered widely
For urban planning, indoor design, industrial simulation, historic site recovery, bridge highway layout, real estate sale, Tourism teaching, water conservancy
The various fields such as electric power, geological disaster, educational training provide practicable solution for it.
Nowadays most commonly used VR equipment is Google Cardboard, because its price is relatively low, the mobile phone that can arrange in pairs or groups is direct
It uses, so most of user is ready to attempt this emerging field by it, however also has one using mobile phone as VR equipment
A disadvantage, that is, without suitable input equipment, user cannot be again by touching screen come operating software.If we pass through
Application market searches for VR, and the software found is divided into following 3 class substantially：Video player class, roaming experience class, game class.Its
Almost without any interactive mode is used, what is done required for user is only to put on for middle video player and roaming experience class
Cardboard and earphone sit silent appreciation just.In addition to this, the interactive mode that other application is used is following nothing but
It is several.
1. using the physical button on Cardboard boxes
Cardboard 2.0 is compared to version before, more physical buttons on carton.This button connects
It is the triangle flap that an end is equipped with conductive backing plate, by lower button, flap will contact touch screen.It is not readily accessible in user
The effect for clicking touch screen is played in the case of touch screen.But the trigger position of the button is fixed, is always positioned at screen
Surface.This button is used generally as return or ESC Escape, without king-sized interactive meaning.
2. optic centre stares triggering
This is most common interactive mode in the current applications of VR on the market, and in screen center's meeting, there are one the originals for aiming
Point, since user can not touch screen, user can pass through rotatable head so that the dot is directed at certain triggers, leads to
That spends the short time stares the object to achieve the effect that trigger event.The friendship that most of roaming experience class and game class software are used
Mutually mode is all this, such as moon experience, is centering to different numbers and can see different information, then for example beats deadlock
Corpse is played, and can be shot towards screen center always, and player only needs rotation head that center is made to be directed at corpse.
3. virtual push button
Virtual push button is a kind of augmented reality interactive mode provided by Vuforia external members, identifies occur by camera
Characteristic image in the real space, on the screen corresponding position create a virtual button, if user touches this with finger
Button can then trigger corresponding event.But this interactive mode response accuracy rate is not high, speed is also bad.
Invention content
The present invention provides identify that the method for carrying out human-computer interaction, this method are logical in a kind of virtual reality based on motion track
The motion track that camera captures characteristic image is crossed accordingly to manipulate virtual article according to the recognition result of motion track.
The method for carrying out human-computer interaction is identified in a kind of virtual reality based on motion track, including：
Step 1, user defines several characteristic images, as characteristic pattern image set；
Step 2, user defines single or a plurality of characteristic image space motion track and single or a plurality of characteristic image is empty
Between event corresponding to motion track, as track-event sets；
Step 3, the one or more features image that user selects characteristic image to concentrate operates, and operating process is by taking the photograph
Camera is acquired in real time；
Step 4, according to the position of characteristic image in the video of acquisition, the shifting of user's operation characteristic image in space is calculated
Dynamic rail mark；
Step 5, by the motion track of user's operation characteristic image and user-defined characteristic image space motion track into
Row compares, and user-defined characteristic image space motion track is matched when having single or a plurality of characteristic image space motion track
When, trigger corresponding event.
In step 1, all characteristic image constitutive characteristic image sets.In step 2, single or a plurality of characteristic image space are moved
Dynamic rail mark corresponds to one event of triggering, mapping relations composition track-event sets of space motion track and event.In step 5,
When the track of user's operation characteristic image is judged as identical with user-defined characteristic image space motion track, then according to rail
The mapping relations of space motion track and event in mark-event sets trigger the corresponding event of characteristic image space motion track.
Preferably, characteristic image space motion track is made of several sequentially connected bivectors.In step 4, meter
Calculating the motion track of user's operation characteristic image in space includes：
Step 4-1 acquires motion track input by user, using the characteristic image coordinate in every frame video as endpoint, will move
Dynamic rail mark is converted into several sequentially connected vectors；
Step 4-2, several directions defined in two dimensional surface press from both sides in eight directions with the vector for a certain vector
The direction of angle minimum is the direction of the vector；
Step 4-3 compares the direction of current vector and previous vector successively according to the sequencing of motion track, if two
The direction of a vector is identical, then merges two vectors；If two vectorial directions differ, current vector direction is kept；
Step 4-4, after the vectorial denoising after merging, according to following formula calculate with the editor for matched motion track away from
From Leva,b(i, j), editing distance is most short and editing distance is for matched motion track apart from the upper limit less than acceptable
Motion track input by user：
Wherein cost functions are：
In formula：Leva,b(i, j) is the editing distance of the preceding i character of character string a and the preceding j character of character string b；
A encodes for motion track input by user；
I is the character ordinal number in the character string of motion track input by user；
aiFor i-th of character in the character string of motion track input by user；
B is to be encoded for matched motion track；
J is for the character ordinal number in the character string of matched motion track；
bjFor j-th of character in the character string for matched motion track.
The present invention captures the motion track of characteristic image using camera, by identifying that it is corresponding that different motion tracks triggers
Response events, for example, the object in mobile reality scene, is realized virtual by changing the physical distance between two objects
The scaling of the size of object, two objects in reality scene are used as characteristic image in the video of acquisition, by feature
The identification of motion track between image, triggers corresponding event.
Refer to the pre-set track of system, one a pair of event of these tracks and triggering for matched motion track
It answers, the motion track of acquisition characteristics image, then to the motion track of characteristic image and the preset track progress of system
Match, if successful match, triggers corresponding event.
The recognizer of motion track provided by the invention, can in the case where not needing training data and learning process
Track is quickly identified, and there is higher accuracy.
Editing distance embodies motion track to be identified and the similarity degree for matched motion track, similarity degree
It need to be less than and be subjected to, apart from the upper limit, to judge that motion track to be identified is similar to for matched motion track.
The string length of motion track is bigger, then is subjected to character string bigger apart from the upper limit, shorter, is subjected to distance
The upper limit is smaller.
Preferably, in step 4-1, video is acquired during user inputs motion track, is obtained per in frame video
Characteristic image coordinate, if the characteristic image coordinate dead time be more than threshold value, characteristic image coordinate is identified, adjacent two
The characteristic image coordinate of frame video constructs a vector.
Preferably, in step 4-2, eight directions defined in two dimensional surface, the angle between two neighboring direction is 45
Degree.
Preferably, in step 4-4, the step of denoising, is as follows：
Step 4-4-1, shortest vector in current institute's directed quantity is deleted, after deleting shortest vector, according to motion track
Sequencing, the direction of relatively current vector and previous vector successively, if two vectorial directions are identical, by two vectors
Merge；If two vectorial directions differ, current vector direction is kept；
Step 4-4-2, step 4-4-1 is repeated, until the vectorial total length after deleting is no less than original vector overall length just
60% (value can be adjusted according to the case where actual use, generally 60% to 90%) of degree.
Preferably, eight directions in two dimensional surface correspond to a coding respectively, for after step 4-4 denoisings to
Amount, the direction according to vector are encoded successively.
Preferably, when coding, the coding of forward and reverse is added for same motion track, or add for same motion track
Add similar coding.
In actual use, everyone likes difference, for example, somebody likes drawing circle clockwise, somebody likes
Circle is drawn counterclockwise, can be the coding that the same vector adds forward and reverse respectively.Alternatively, being added for the same vector similar
Coding, such as simultaneously use " 0 " and " 010 " to indicate motion track to the right.
The method for carrying out human-computer interaction is identified in virtual reality provided by the invention based on motion track, can quickly be identified
Motion track input by user manipulates virtual reality according to the recognition result of motion track, improves user experience.
Description of the drawings
Fig. 1 is the flow chart that the present invention calculates the motion track of user's operation characteristic image in space；
Fig. 2 is motion track input by user；
Fig. 3 is the motion track that sampling obtains；
Fig. 4 is the result after vector merges；
Fig. 5 is the flow chart of denoising；
Fig. 6 is the schematic diagram in the direction defined in two dimensional surface in the present invention；
Fig. 7 is the flow diagram for identifying the method for carrying out human-computer interaction in virtual reality of the present invention based on motion track.
Specific implementation mode
Below in conjunction with the accompanying drawings, to identifying that the method for carrying out human-computer interaction is done in detail based on motion track in virtual reality of the present invention
Thin description.
The present embodiment is realized that image identification function therein is used to be carried by Vuforia in Unity3D engines
The characteristic image of confession identifies, can efficiently identify the image of any high comparison in video camera.
As shown in fig. 7, the method for carrying out human-computer interaction is identified in a kind of virtual reality based on motion track, including：
Step 1, user prints several pattern in 2 D code, using pattern in 2 D code as characteristic image, by several Quick Response Code figures
Case is as characteristic pattern image set
Step 2, user defines single or a plurality of characteristic image space motion track and single or a plurality of characteristic image is empty
Between event corresponding to motion track, as track-event sets.
Step 3, the one or more features image that user selects characteristic image to concentrate operates, and operating process is by taking the photograph
Camera is acquired in real time.
Step 4, acquisition user inputs the video of motion track, is obtained per frame video in the OnUpdate functions of Unity
In characteristic image coordinate and preserve, be denoted as positions.If it is more than the predetermined time that image, which keeps pausing, to institute
There is the characteristic image coordinate of preservation to be identified, uses formula vectors[i]=positions[i+1]-positions[i]
By the characteristic image coordinate transformation of all typings at vector, in formula, positions[i]It is sat for the characteristic image in the i-th frame video
Mark, positioms[i+1]For the characteristic image coordinate in i+1 frame video.
Motion track input by user is as shown in Fig. 2, characteristic image coordinate transformation is as shown in Figure 3 at the track after vector.
Step 5,8 directions of plane are defined as shown in fig. 6, number is followed successively by 0 to 7.Defining a vectorial direction is
With the immediate direction in 8 directions of plane.
Step 6, for institute's directed quantity, a merging process is carried out：According to the sequence of motion track, compare successively when it is preceding to
The direction of amount and previous vector is merged if two vectorial directions are the same, is merged and is used formula newVector
=vectors[i]+vectors[i-1], in formula, vectors[i]For i-th of vector, vectors[i-1]For (i-1)-th to
Amount.The results are shown in Figure 4 after merging.
Step 7, denoising and coding are carried out to the vector after merging, then calculates editing distance.
Because of a number of factors such as screen shake, handshaking, the data acquisition mistake of user, directly after merging vector direction often
Tiny error vector is had to influence the judgement of track.In order to remove these influences, takes and repeatedly delete current institute's directed quantity
The method of middle length most short amount carries out a merging process again after deleting shortest vector every time.
In order to ensure that main information is unaffected, the vector deleted should not be excessive, should ensure that the vectorial total length after deleting
On the certain percentage of original total length, range is reasonable through overtesting, 70% to 90%.
In practical operation, as shown in figure 5, shortest vector is deleted every time, after certain is primary deletes most short amount, vector
Length be less than original vector total length 70%, then cancel last time delete operation, using gained vector as after denoising to
Amount.
Vector after denoising is encoded, coding mode directly uses the character string for including all direction vectors successively,
Such as be encoded into track to the right " 0 ", the track of Z-type is encoded into " 050 ".
In traditional editing distance calculates, replaces, increases, deleting 3 kinds of operations and can all increase by 1 cost, such as direction 0
With direction 1 very close to, but differ greatly with direction 3, the replacement between adjacent both direction needs to pay less cost,
The recurrence formula of Levenshtein Distance is revised as by the present embodiment：
Wherein cost functions are
In formula：Leva,b(i, j) is the editing distance of the preceding i character of character string a and the preceding j character of character string b；
A encodes for motion track input by user；
I is the character ordinal number in the character string of motion track input by user；
aiFor i-th of character in the character string of motion track input by user；
B is to be encoded for matched motion track；
J is for the character ordinal number in the character string of matched motion track；
bjFor j-th of character in the character string for matched motion track.
After editing distance is calculated in step 7, by editing distance is most short and editing distance be less than it is acceptable apart from the upper limit
For matched motion track as motion track input by user.The flow of step 4- steps 7 is as shown in Figure 1.
Step 8, by the motion track of user's operation characteristic image and user-defined characteristic image space motion track into
Row compares, and user-defined characteristic image space motion track is matched when having single or a plurality of characteristic image space motion track
When, trigger corresponding event.
Claims (7)
1. the method for carrying out human-computer interaction is identified in a kind of virtual reality based on motion track, which is characterized in that including：
Step 1, user defines several characteristic images, as characteristic pattern image set；
Step 2, user defines single or a plurality of characteristic image space motion track and single or a plurality of characteristic image space is moved
Event corresponding to dynamic rail mark, as track-event sets；
Step 3, the one or more features image that user selects characteristic image to concentrate operates, and operating process passes through video camera
It is acquired in real time；
Step 4, according to the position of characteristic image in the video of acquisition, the moving rail of user's operation characteristic image in space is calculated
Mark specifically includes：
Step 4-1 acquires motion track input by user, using the characteristic image coordinate in every frame video as endpoint, by moving rail
Mark is converted into several sequentially connected vectors；
Step 4-2, several directions defined in two dimensional surface, for a certain vector, in eight directions most with the vector angle
Small direction is the direction of the vector；
Step 4-3, according to the sequencing of motion track, the direction of relatively current vector and previous vector successively, if two to
The direction of amount is identical, then merges two vectors；If two vectorial directions differ, current vector direction is kept；
Step 4-4 after the vectorial denoising after merging, is calculated and the editing distance for matched motion track according to following formula
LevA, b(i, j), editing distance is most short and editing distance is as used apart from the upper limit for matched motion track less than acceptable
The motion track of family input：
Wherein cost functions are：
In formula：LevA, b(i, j) is the editing distance of the preceding i character of character string a and the preceding j character of character string b；
A encodes for motion track input by user；
I is the character ordinal number in the character string of motion track input by user；
aiFor i-th of character in the character string of motion track input by user；
B is to be encoded for matched motion track；
J is for the character ordinal number in the character string of matched motion track；
bjFor j-th of character in the character string for matched motion track；
Step 5, the motion track of user's operation characteristic image and user-defined characteristic image space motion track are compared
Compared with tactile when having single or a plurality of characteristic image space motion track matches user-defined characteristic image space motion track
The corresponding event of hair.
2. identifying the method for carrying out human-computer interaction in virtual reality as described in claim 1 based on motion track, feature exists
In characteristic image space motion track is made of several sequentially connected bivectors.
3. the method for carrying out human-computer interaction is identified in virtual reality as described in claim 1 based on motion track, which is characterized in that
In step 4-1, video is acquired during user inputs motion track, is obtained per the characteristic image coordinate in frame video, if
The characteristic image coordinate dead time is more than threshold value, then characteristic image coordinate is identified, the characteristic image of adjacent two frames video
Coordinate constructs a vector.
4. the method for carrying out human-computer interaction is identified in virtual reality as described in claim 1 based on motion track, which is characterized in that
In step 4-2, eight directions defined in two dimensional surface, the angle between two neighboring direction is 45 degree.
5. the method for carrying out human-computer interaction is identified in virtual reality as described in claim 1 based on motion track, which is characterized in that
In step 4-4, the step of denoising, is as follows：
Step 4-4-1, shortest vector in current institute's directed quantity is deleted, after deleting shortest vector, according to the elder generation of motion track
Sequence afterwards, relatively currently two vectors are closed if two vectorial directions are identical in the direction of vector and previous vector successively
And；If two vectorial directions differ, current vector direction is kept；
Step 4-4-2, step 4-4-1 is repeated, until the vectorial total length after deleting is no less than original vector total length just
60%.
6. the method for carrying out human-computer interaction is identified in virtual reality as described in claim 1 based on motion track, which is characterized in that
Eight directions in two dimensional surface correspond to a coding respectively, for the vector after step 4-4 denoisings, the direction according to vector
It is encoded successively.
7. the method for carrying out human-computer interaction is identified in virtual reality as claimed in claim 6 based on motion track, which is characterized in that
When coding, the coding of forward and reverse is added for same motion track, or similar coding is added for same motion track.
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| CN108459782A (en) * | 2017-02-17 | 2018-08-28 | 阿里巴巴集团控股有限公司 | A kind of input method, device, equipment, system and computer storage media |
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| CN104298345A (en) * | 2014-07-28 | 2015-01-21 | 浙江工业大学 | Control method for man-machine interaction system |
| CN104808790A (en) * | 2015-04-08 | 2015-07-29 | 冯仕昌 | Method of obtaining invisible transparent interface based on non-contact interaction |
| CN105487673A (en) * | 2016-01-04 | 2016-04-13 | 京东方科技集团股份有限公司 | Man-machine interactive system, method and device |
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| CN104298345A (en) * | 2014-07-28 | 2015-01-21 | 浙江工业大学 | Control method for man-machine interaction system |
| CN104808790A (en) * | 2015-04-08 | 2015-07-29 | 冯仕昌 | Method of obtaining invisible transparent interface based on non-contact interaction |
| CN105487673A (en) * | 2016-01-04 | 2016-04-13 | 京东方科技集团股份有限公司 | Man-machine interactive system, method and device |
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