CN102722312B - A kind of action trend prediction method of interaction experience based on pressure transducer and system - Google Patents
A kind of action trend prediction method of interaction experience based on pressure transducer and system Download PDFInfo
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- CN102722312B CN102722312B CN201110424917.0A CN201110424917A CN102722312B CN 102722312 B CN102722312 B CN 102722312B CN 201110424917 A CN201110424917 A CN 201110424917A CN 102722312 B CN102722312 B CN 102722312B
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Abstract
The invention discloses a kind of action trend prediction method of interaction experience based on pressure transducer and system, the method comprises: by pressure transducer, gathers the pressure data at least comprising pressure size and positional information; After filtration treatment is carried out to collection gained pressure data, add time tag, and calculate center of gravity in real time; After gathering repeatedly pressure data, in conjunction with the multiple center of gravity calculation values corresponding to repeatedly pressure data, carry out motion prediction process; Based on gained motion prediction process result, when current state changes, perform animation and trigger and interactive demonstration action.Action trend prediction method of interaction experience based on pressure transducer of the present invention and system, can overcome that poor real in prior art, interactive mode are single, interactive experience quality low with the intelligent difference of interactive experience etc. defect, to realize that real-time is good, various interaction modes, interactive experience quality are high, the intelligent good and advantage that extendability is strong of interactive experience.
Description
Technical field
The present invention relates to pressure sensor application technical field, particularly, relate to a kind of action trend prediction method of interaction experience based on pressure transducer and system.
Background technology
Conventional pressure sensor is applied widely in industrial practice, and along with advancing by leaps and bounds of electronics technology now, its application is more and more civil nature and variation also.Pressure sensor application in civilian interactive system, current the most general with electronic touch screen, but its main efficacy results is clicked similar to mouse, and interactive experience is more single.
Tradition interactive experience is based on button triggering, interactive mode is single, along with science and technology and social development, interaction design more and more pay close attention to polynary between relation, such as, relation, the relation between thing and thing and the relation between people and people between man-machine.It is the trend that interactive experience develops that the habits and customs that people are traditional are also brought in interactive experience more and more, and more various interactive mode, omnibearing technical support brings the interactive experience of abundanter more diversification.
The existing interactive experience platform comparing forward position is the data with sensor substantially, through overwriting or process, directly using the state of current behavior action as mutual triggering, and specifically can see Fig. 1.In FIG, traditional method of interaction experience based on pressure transducer, comprises the following steps:
Step 100: carry out data acquisition (comprising pressure size and position) by pressure transducer, performs step 101;
Step 101: carry out center of gravity calculation, performs step 102;
Step 102: judge whether center of gravity moves, if so, then performs step 103; Otherwise, return step 100;
Step 103: carry out animation triggering, performs step 104;
Step 104: carry out interactive demonstration, return step 100.
In the interactive experience mode shown in Fig. 1, interactive demonstration response lag, in the action of people, does not have artificial intelligence.
On the other hand, in traditional motion estimation techniques, mainly be processed as master with video, the mode of motion of intermediate frame object is estimated according to the state of object between video two frame, this method cannot carry out the prediction of action in real time, predict the outcome and directly as behavior trigger pip, cannot can not apply in interactive experience.
In fact, in life as people or thing motion, people can by doping imminent action to the observation of its existing action, thus make behavior judgement, and most typical is exactly penalty shoot-out in football.Goalkeeper launches sportsman according to penalty kick and touches a series of actions before ball, the direction of prediction football, thus makes direction determining fast.In interactive experience, if increase action trend prediction, to predict the outcome as the triggering of interaction response, the experience of intelligent interaction can be increased, from lifting interactive experience quality.
Realizing in process of the present invention, inventor is finding at least to exist in prior art that poor real, interactive mode are single, interactive experience quality is being low with defects such as intelligent differences.
Summary of the invention
The object of the invention is to, for the problems referred to above, a kind of action trend prediction method of interaction experience based on pressure transducer is proposed, to realize that real-time is good, various interaction modes, interactive experience quality are high, the intelligent good and advantage that extendability is strong of interactive experience.
For achieving the above object, the technical solution used in the present invention is: a kind of action trend prediction method of interaction experience based on pressure transducer, comprising:
A, by pressure transducer, gather and at least comprise the pressure data of pressure size and positional information; After filtration treatment is carried out to collection gained pressure data, add time tag, and calculate center of gravity in real time;
B, gather repeatedly pressure data after, in conjunction with the multiple center of gravity calculation values corresponding to repeatedly pressure data, carry out motion prediction process;
C, based on gained motion prediction process result, when current state changes, perform animation trigger with interactive demonstration action.
Further, in step a, the frequency acquisition of described pressure transducer is 50hz, often organizes the matrix data that pressure data is effective pressure point;
In described matrix data, the data of each effective pressure point are four-dimensional: pressure P, position D (x, y) and time t;
Based on described matrix data, the formula calculating center of gravity is in real time:
Further, described step b specifically comprises:
After at least gathering 5 pressure datas, in conjunction with the multiple center of gravity calculation values corresponding to repeatedly pressure data, obtain repeatedly the change information of pressure data;
Based on gained repeatedly pressure data and change information thereof, by fuzzy decision unit, carry out movement tendency prediction processing.
Further, described fuzzy decision unit, comprises input matrix data module, fuzzy device, indistinct logic computer, defuzzifier, output state value module and fuzzy rule base, wherein:
Described input matrix data module, for by relevant pressure data with matrix data
form input, and carry out movement tendency prediction processing by fuzzy device, indistinct logic computer and defuzzifier successively, obtain movement tendency and predict the outcome; Described output state value module, for predicting the outcome movement tendency to predict that the form of action code N exports;
Described fuzzy rule base is the fuzzy reasoning table pre-established according to actual needs; Described indistinct logic computer is connected with fuzzy rule base, for being called the fuzzy rule stored in fuzzy reasoning table by fuzzy look-up table.
Simultaneously, another technical scheme that the present invention adopts is: a kind of action trend prediction interactive experience system based on pressure transducer, comprises pressure transducer, data filtering units, time tag loading unit, center of gravity calculation unit, matrix data generation unit, fuzzy decision unit and action execution unit that signal successively connects.
Further, the above-described action trend prediction interactive experience system based on pressure transducer, also comprises current state judging unit; The input termination fuzzy decision unit of described current state judging unit, first exports termination action execution unit, and second exports termination pressure transducer, for carrying out next data acquisition.
Further, described fuzzy decision unit, comprises input matrix data module, fuzzy device, indistinct logic computer, defuzzifier, output state value module and fuzzy rule base, wherein:
Described input matrix data module, for by relevant pressure data with matrix data
form input, and carry out movement tendency prediction processing by fuzzy device, indistinct logic computer and defuzzifier successively, obtain movement tendency and predict the outcome; Described output state value module, for predicting the outcome movement tendency to predict that the form of action code N exports;
Described fuzzy rule base is the fuzzy reasoning table pre-established according to actual needs; Described indistinct logic computer is connected with fuzzy rule base, for being called the fuzzy rule stored in fuzzy reasoning table by fuzzy look-up table.
Further, the above-described action trend prediction interactive experience system based on pressure transducer, also comprises power supply unit; Described power supply unit, for powering for the consumer in pressure transducer, data filtering units, time tag loading unit, center of gravity calculation unit, matrix data generation unit, fuzzy decision unit, action execution unit and current state judging unit.
The action trend prediction method of interaction experience based on pressure transducer of various embodiments of the present invention and system, because the method comprises: by pressure transducer, gather the pressure data at least comprising pressure size and positional information; After filtration treatment is carried out to collection gained pressure data, add time tag, and calculate center of gravity in real time; After gathering repeatedly pressure data, in conjunction with the multiple center of gravity calculation values corresponding to repeatedly pressure data, carry out motion prediction process; Based on gained motion prediction process result, when current state changes, perform animation and trigger and interactive demonstration action; Action trend prediction can be increased in interactive experience, to predict the outcome as the triggering of interaction response, the experience of intelligent interaction can be increased, promote interactive experience quality; Thus can overcome that poor real in prior art, interactive mode are single, the low defect with the intelligent difference of interactive experience of interactive experience quality, to realize that real-time is good, various interaction modes, interactive experience quality are high, the intelligent good and advantage that extendability is strong of interactive experience.
Other features and advantages of the present invention will be set forth in the following description, and, partly become apparent from instructions, or understand by implementing the present invention.Object of the present invention and other advantages realize by structure specifically noted in write instructions, claims and accompanying drawing and obtain.
Below by drawings and Examples, technical scheme of the present invention is described in further detail.
Accompanying drawing explanation
Accompanying drawing is used to provide a further understanding of the present invention, and forms a part for instructions, together with embodiments of the present invention for explaining the present invention, is not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is the schematic flow sheet of traditional method of interaction experience based on pressure transducer;
Fig. 2 is the schematic flow sheet according to the action trend prediction method of interaction experience that the present invention is based on pressure transducer;
Fig. 3 is the principle of work schematic diagram according to the present invention is based on fuzzy decision unit in the action trend prediction method of interaction experience of pressure transducer and system;
Fig. 4 is the principle of work schematic diagram according to the action trend prediction interactive experience system that the present invention is based on pressure transducer.
By reference to the accompanying drawings, in the embodiment of the present invention, Reference numeral is as follows:
1-pressure transducer; 2-data filtering units; 3-time tag loading unit; 4-center of gravity calculation unit; 5-matrix data generation unit; 6-fuzzy decision unit; 7-current state judging unit; 8-action execution unit.
Embodiment
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein is only for instruction and explanation of the present invention, is not intended to limit the present invention.
embodiment of the method
According to the embodiment of the present invention, as shown in Figures 2 and 3, a kind of action trend prediction method of interaction experience based on pressure transducer is provided.
As shown in Figure 2, the present embodiment comprises:
Step 200: by pressure transducer, gathers the pressure data at least comprising pressure size and positional information;
In step 200, the frequency acquisition of pressure transducer is 50hz, often organizes the matrix data that pressure data is effective pressure point; In matrix data, the data of each effective pressure point are four-dimensional: pressure P, position D (x, y) and time t;
Step 201: gather after gained pressure data carries out filtration treatment to step 200, add time tag, perform step 202 and step 203;
Step 202: add the pressure data after time tag according to step 201, calculate center of gravity in real time, performs step 203;
In step 202., based on step 200 gained matrix data, the formula calculating center of gravity is in real time:
Step 203: after gathering repeatedly pressure data, in conjunction with the multiple center of gravity calculation values corresponding to repeatedly pressure data, carries out motion prediction process, performs step 204;
In step 203, after at least gathering 5 (being preferably 5 times) pressure datas, in conjunction with the multiple center of gravity calculation values corresponding to repeatedly pressure data, the change information of pressure data is obtained repeatedly; Based on gained repeatedly pressure data and change information thereof, by fuzzy decision unit, carry out movement tendency prediction processing;
Step 204: based on step 203 gained motion prediction process result, judge whether current state changes, if so, then performs step 205; Otherwise, return step 200;
Step 205 and step 206: perform animation and trigger and interactive demonstration action.
As shown in Figure 3, in the above-described embodiments, fuzzy decision unit, comprises input matrix data module, fuzzy device, indistinct logic computer, defuzzifier, output state value module and fuzzy rule base, wherein: input matrix data module, for by relevant pressure data with the matrix data of 5*4
form input, and carry out movement tendency prediction processing by fuzzy device, indistinct logic computer and defuzzifier successively, obtain movement tendency and predict the outcome; Described output state value module, for predicting the outcome movement tendency to predict that the form of action code N exports.
In the above-described embodiments, fuzzy rule base is the fuzzy reasoning table pre-established according to actual needs; Described indistinct logic computer is connected with fuzzy rule base, for being called the fuzzy rule stored in fuzzy reasoning table by fuzzy look-up table.Like this, by pre-setting fuzzy rule base, fuzzy look-up method can be adopted, making prediction and calculation simple and fast, to ensure the real-time of respective handling.
In the above-described embodiments, fuzzy decision unit mainly comprises two parts, first be that simple movement tendency analysis comprises, movement direction decision, rate of pressure change judges, then according to the fuzzy conclusion that previous step draws, carry out the judgement of movement tendency, current kinetic trend is mainly to the prediction of movement velocity and direction of motion.
In the above-described embodiments, by step 200-step 206, add motion prediction, make mutual display reaction prior to the action of user, have artificial intelligence.Particularly, the sample frequency of pressure data can be 50hz, and action prediction frequency can be 10hz, can ensure that animation is with the change of 10 times/s response (in actual motion, namely the response of 5 times/s can realize real-time dynamic effect), fluency is good, real-time.
Such as, the shuttlecock kicking of virtual conventional motion experience, Real-time Collection people foot pressure signal, the change of people's center of gravity is judged according to the change of pressure point locations and the change of pressure size, thus predict the inertia displacement of its subsequent time, if a certain pin pressure strengthens rapidly, and another pin pressure reduces rapidly, center of gravity is also quick to the motion of pin, can predict the action that this person is lifting pin and carries out playing.Corresponding interactive demonstration just can be demonstrated out the effect that shuttlecock flies out.
system embodiment
According to the embodiment of the present invention, provide a kind of action trend prediction interactive experience system based on pressure transducer 1.As shown in Figure 4, the present embodiment comprises pressure transducer 1, data filtering units 2, time tag loading unit 3, center of gravity calculation unit 4, matrix data generation unit 5, fuzzy decision unit 6 and the action execution unit 8 that signal successively connects.Here.The stuctures and properties of fuzzy decision unit 6, see the related description of Fig. 3 in embodiment of the method, can not repeat them here.
In the above-described embodiments, the action trend prediction interactive experience system based on pressure transducer 1 also comprises current state judging unit 8 and power supply unit; The input termination fuzzy decision unit 6, first of current state judging unit 8 exports termination action execution unit 8, second and exports termination pressure transducer 1, for carrying out next data acquisition; Power supply unit, for powering with the consumer in current state judging unit 8 for pressure transducer 1, data filtering units 2, time tag loading unit 3, center of gravity calculation unit 4, matrix data generation unit 5, fuzzy decision unit 6, action execution unit 8.
In the above-described embodiments, by pressure transducer 1 based on foot pressure data acquisition, Real-time Collection foot pressure and position data, additional temporal information in data, according to pressure data change, carries out the prediction of action with fuzzy decision unit 6, thus draw movement tendency result, by the real-time sampling to pressure size and location, through calculating movement tendency prediction, thus provide abundant interactive experience to user; Add motion estimation technique, the effect of artificial intelligence can be increased in interactive demonstration, namely and in the past a series of actions present according to user, the action that user will occur can be doped, thus realize the intelligent interaction effect having anticipation, man-machine interaction experience is made more to meet real human society interactive mode, more truly, also more interesting; Should use in interactive experience to the prediction of movement tendency, promote experience effect and interest.
In sum, the action trend prediction method of interaction experience based on pressure transducer of various embodiments of the present invention and system, in interactive experience, if increase action trend prediction, to predict the outcome as the triggering of interaction response, the experience of intelligent interaction can be increased, from lifting interactive experience quality; Apply fuzzy decision unit, carry out intelligent decision by fuzzy tabling look-up, real-time is good on the one hand; On the other hand, conveniently modify to fuzzy table according to different demand, extensibility is strong; Using conventional pressure sensor as implementation platform, on the one hand because it is simple and easy to realize, technical costs is low; On the other hand, the signal of pressure transducer collection meets the daily behavior custom of people, more easily interactive experience is brought into life.
Last it is noted that the foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, although with reference to previous embodiment to invention has been detailed description, for a person skilled in the art, it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein portion of techniques feature.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (2)
1., based on an action trend prediction method of interaction experience for pressure transducer, it is characterized in that, comprising:
A, by pressure transducer, gather and at least comprise the pressure data of pressure size and positional information; After filtration treatment is carried out to collection gained pressure data, add time tag, and calculate center of gravity in real time;
In step a, the frequency acquisition of described pressure transducer is 50hz, often organizes the matrix data that pressure data is effective pressure point;
In described matrix data, the data of each effective pressure point are four-dimensional: pressure
, position
with the time
;
Based on described matrix data, the formula calculating center of gravity is in real time:
；
B, gather repeatedly pressure data after, in conjunction with the multiple center of gravity calculation values corresponding to repeatedly pressure data, carry out motion prediction process; The sample frequency of pressure data is 50hz, and action prediction frequency is 10hz, ensures that animation responds with the change of 10 times/s;
C, based on gained motion prediction process result, when current state changes, perform animation trigger with interactive demonstration action;
Described step b specifically comprises:
After at least gathering 5 pressure datas, in conjunction with the multiple center of gravity calculation values corresponding to repeatedly pressure data, obtain repeatedly the change information of pressure data;
Based on gained repeatedly pressure data and change information thereof, by fuzzy decision unit, carry out movement tendency prediction processing;
Described fuzzy decision unit, comprises input matrix data module, fuzzy device, indistinct logic computer, defuzzifier, output state value module and fuzzy rule base, wherein:
Described input matrix data module, for by relevant pressure data with matrix data
form input, and carry out movement tendency prediction processing by fuzzy device, indistinct logic computer and defuzzifier successively, obtain movement tendency and predict the outcome; Described output state value module, for predicting the outcome to predict action code by movement tendency
form export;
Described fuzzy rule base is the fuzzy reasoning table pre-established according to actual needs; Described indistinct logic computer is connected with fuzzy rule base, for being called the fuzzy rule stored in fuzzy reasoning table by fuzzy look-up table.
2. the action trend prediction interactive experience system based on pressure transducer, it is characterized in that, comprise pressure transducer, data filtering units, time tag loading unit, center of gravity calculation unit, matrix data generation unit, fuzzy decision unit and action execution unit that signal successively connects;
Also comprise current state judging unit; The input termination fuzzy decision unit of described current state judging unit, first exports termination action execution unit, and second exports termination pressure transducer, for carrying out next data acquisition; Wherein:
Described pressure transducer, for gathering the pressure data at least comprising pressure size and positional information;
Described data filtering units, for carrying out filtration treatment to collection gained pressure data;
Described time tag loading unit, after carrying out filtration treatment to collection gained pressure data, adds time tag;
Described center of gravity calculation unit, after carrying out filtration treatment to collection gained pressure data, calculates center of gravity in real time;
Described matrix data generation unit, for generator matrix data, the frequency acquisition of pressure transducer is 50hz, often organizes the matrix data that pressure data is effective pressure point; In described matrix data, the data of each effective pressure point are four-dimensional: pressure
, position
with the time
;
Described fuzzy decision unit, after gathering repeatedly pressure data, in conjunction with the multiple center of gravity calculation values corresponding to repeatedly pressure data, carries out motion prediction process; The sample frequency of pressure data is 50hz, and action prediction frequency is 10hz, ensures that animation responds with the change of 10 times/s;
Described action execution unit, for based on gained motion prediction process result, when current state changes, performs animation and triggers and interactive demonstration action;
Described fuzzy decision unit, comprises input matrix data module, fuzzy device, indistinct logic computer, defuzzifier, output state value module and fuzzy rule base, wherein:
Described input matrix data module, for by relevant pressure data with matrix data
form input, and carry out movement tendency prediction processing by fuzzy device, indistinct logic computer and defuzzifier successively, obtain movement tendency and predict the outcome; Described output state value module, for predicting the outcome to predict action code by movement tendency
form export;
Described fuzzy rule base is the fuzzy reasoning table pre-established according to actual needs; Described indistinct logic computer is connected with fuzzy rule base, for being called the fuzzy rule stored in fuzzy reasoning table by fuzzy look-up table;
Also comprise power supply unit; Described power supply unit, for powering for the consumer in pressure transducer, data filtering units, time tag loading unit, center of gravity calculation unit, matrix data generation unit, fuzzy decision unit, action execution unit and current state judging unit.
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| WO2013169865A2 (en) | 2012-05-09 | 2013-11-14 | Yknots Industries Llc | Device, method, and graphical user interface for moving a user interface object based on an intensity of a press input |
| WO2013169843A1 (en) | 2012-05-09 | 2013-11-14 | Yknots Industries Llc | Device, method, and graphical user interface for manipulating framed graphical objects |
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| WO2013169849A2 (en) | 2012-05-09 | 2013-11-14 | Industries Llc Yknots | Device, method, and graphical user interface for displaying user interface objects corresponding to an application |
| WO2013169877A2 (en) | 2012-05-09 | 2013-11-14 | Yknots Industries Llc | Device, method, and graphical user interface for selecting user interface objects |
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| US9632664B2 (en) * | 2015-03-08 | 2017-04-25 | Apple Inc. | Devices, methods, and graphical user interfaces for manipulating user interface objects with visual and/or haptic feedback |
| US10095396B2 (en) | 2015-03-08 | 2018-10-09 | Apple Inc. | Devices, methods, and graphical user interfaces for interacting with a control object while dragging another object |
| US9639184B2 (en) | 2015-03-19 | 2017-05-02 | Apple Inc. | Touch input cursor manipulation |
| US20170045981A1 (en) | 2015-08-10 | 2017-02-16 | Apple Inc. | Devices and Methods for Processing Touch Inputs Based on Their Intensities |
| US9830048B2 (en) | 2015-06-07 | 2017-11-28 | Apple Inc. | Devices and methods for processing touch inputs with instructions in a web page |
| US9860451B2 (en) | 2015-06-07 | 2018-01-02 | Apple Inc. | Devices and methods for capturing and interacting with enhanced digital images |
| US9880735B2 (en) | 2015-08-10 | 2018-01-30 | Apple Inc. | Devices, methods, and graphical user interfaces for manipulating user interface objects with visual and/or haptic feedback |
| CN111273797B (en) | 2019-12-25 | 2021-06-22 | 深圳市鸿合创新信息技术有限责任公司 | Handwriting generating method, handwriting generating device, storage medium, electronic equipment and system |
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