CN103023654A - Dither removing method and device in recognition process of intelligent remote control system - Google Patents
Dither removing method and device in recognition process of intelligent remote control system Download PDFInfo
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Abstract
The invention discloses a dither removing method and device in a recognition process of an intelligent remote control system. The method includes the following steps that identity identification data generated when a user holds a remote-control unit are acquired; an average value of the identity identification data is calculated; a tendency user identity which the identity identification data correspond to is judged according to preset standard identity data and the average value; a corresponding dither range is calculated according to the average value and a characteristic value which the tendency user identity corresponds to; and data among the identity identification data, which are beyond the dither range, are removed. By means of the dither removing method and device in the recognition process of the intelligent remote control system, the interference of the data with a larger dither range among the identity identification data to identity identification can be effectively eliminated, thereby the accuracy of the identity identification data is improved, and the accuracy of identity identification of the user is improved.
Description
Technical field
The present invention relates to the intelligent remote control system field, particularly removal dither method and the device in a kind of intelligent remote control system identifying.
Background technology
The technology that can identify user identity along with intelligent remote control system is popular, so that various user realizes intelligent distant control control by the remote control system that can identify user identity.Go up on the one hand, intelligent remote control system can obtain liking of users and approve, but brings on the other hand new challenge, and as when the user picks up remote controller, user's hand or the shake of health will affect the user identity identification data.For example: grandfather is older, and when grandfather picked up remote controller, hand was shaken unavoidably, thereby so that will comprise the shake data in the user identity identification data that the transducer of remote controller the inside produces.Because, do not remove the technology of shake in the intelligent remote control system identifying, when shake is larger, may causes intelligent remote control system identification error to occur, thereby grandfather might be identified as father or invalid identity etc., the user identity identification mistake namely appears.Therefore, the shake data will be disturbed the identification data, thereby affect the accuracy of user identity identification.
Summary of the invention
Main purpose of the present invention is to provide the removal dither method in a kind of intelligent remote control system identifying, be intended to remove jitter range is larger in the identification data data to the interference of identification data, improve the accuracy of identification data, improve the accuracy of user identity identification.
Avoid improving the accuracy of identification data because of the interference of user's shake to the identification data, improve the accuracy of user identity identification.
In order to realize goal of the invention, the invention provides the removal dither method in a kind of intelligent remote control system identifying, the removal dither method in this intelligent remote control system identifying may further comprise the steps:
Obtain the user and pick up the identification data that remote controller produces;
Calculate the mean value of described identification data;
Judge the tendency user identity that described identification data are corresponding according to pre-set criteria identity data and mean value;
Calculate corresponding jitter range according to described mean value and tendency user identity characteristic of correspondence value;
Remove in the described identification data the not data in described jitter range.
Preferably, in carrying out described removal identification data, also do not comprise after the data step in described jitter range:
The identification data of removing after shaking are stored as normal data;
Describedly judge that according to pre-set criteria identity data and mean value tendency user identity step corresponding to described identification data is specially: judge the tendency user identity that described identification data are corresponding according to pre-set criteria identity data, normal data and mean value.
Preferably, describedly also comprise before judging tendency user identity step corresponding to described identification data according to pre-set criteria identity data and mean value carrying out:
Judge whether the user type button is pressed;
If, then with the corresponding user type of user type button as tendency user identity corresponding to described identification data, and change described calculating according to mean value and tendency user identity characteristic of correspondence value over to and obtain corresponding jitter range step;
If not, then carry out and describedly judge the tendency user identity step that described identification data are corresponding according to pre-set criteria identity data and mean value.
Preferably, in the described identification data of described removal not the data step in described jitter range specifically comprise:
To in the described identification data not the data in described jitter range carry out mark;
The data that removal is labeled.
The present invention also provides the removal jittering device in a kind of intelligent remote control system identifying, and the removal jittering device in this intelligent remote control system identifying comprises:
Acquisition module is used for obtaining the user and picks up the identification data that remote controller produces;
Computing module is for the mean value that calculates described identification data;
Judge module is used for judging the tendency user identity that described identification data are corresponding according to pre-set criteria identity data and mean value;
Described computing module also is used for calculating corresponding jitter range according to described mean value and tendency user identity characteristic of correspondence value;
Remove module, be used for removing the not data in described jitter range of described identification data.
Preferably, the removal jittering device in the described intelligent remote control system identifying also comprises:
Storage module, the identification data that are used for will removing after shaking store as normal data;
Described judge module, concrete being used for judged the tendency user identity that described identification data are corresponding according to pre-set criteria identity data, normal data and mean value.
Preferably, it is characterized in that described judge module also is used for judging whether the user type button is pressed; If, then with the corresponding user type of user type button as tendency user identity corresponding to described identification data; If not, then judge the tendency user identity that described identification data are corresponding according to pre-set criteria identity data and mean value.
Preferably, described removal shake module comprises:
Indexing unit, be used for to described identification data not the data in described jitter range carry out mark;
Remove dither unit, be used for removing the data that are labeled.
The present invention is by obtaining the identification data that produce when the user picks up remote controller, calculate the mean value of these identification data, and tendency user identity corresponding to judgement, then calculate to obtain corresponding jitter range according to this mean value and tendency user identity, remove at last in the identification data the not data in this jitter range.Therefore can effectively remove jitter range is larger in the identification data data to the interference of identification data, thereby improve the accuracy of identification data, and then improve the accuracy of user identity identification.
Description of drawings
Fig. 1 is the schematic flow sheet of removal dither method one embodiment in the intelligent remote control system identifying of the present invention;
Fig. 2 is the schematic flow sheet of another embodiment of removal dither method in the intelligent remote control system identifying of the present invention;
Fig. 3 is the schematic flow sheet of the another embodiment of removal dither method in the intelligent remote control system identifying of the present invention;
Fig. 4 is the structural representation of removal jittering device one embodiment in the intelligent remote control system identifying of the present invention;
Fig. 5 is the structural representation of removing the shake module among Fig. 4.
The realization of the object of the invention, functional characteristics and advantage are described further with reference to accompanying drawing in connection with embodiment.
Embodiment
Should be appreciated that specific embodiment described herein only in order to explain the present invention, is not intended to limit the present invention.
With reference to Fig. 1, Fig. 1 is the schematic flow sheet of removal dither method one embodiment in the intelligent remote control system identifying of the present invention; Removal dither method in the intelligent remote control system identifying that present embodiment provides may further comprise the steps:
Step S10 obtains the identification data that produce when the user picks up remote controller;
In the present embodiment, transducer can be set in remote controller, this transducer obtains the user and picks up the corresponding data that produces when remote controller carries out straighforward operation, and remote control system can be according to this data identification user's identity.Particularly, above-mentioned identification data are picked up for the user in the process of remote controller, the multi-group data that transducer produces, and each is organized data and picks up for the user that in the process of remote controller every certain interval of time produces.
The type that should be noted that the sensor does not limit further at this, and transducer can comprise in the present embodiment: Hall element, direction sensor, acceleration sensor, gyro sensor and angular transducer etc.Wherein Hall element is used for the data that perception user shake causes displacement to produce; Direction sensor is used for the data that the perception user picks up the deflection angle of remote controller; Acceleration sensor is used for the data that the perception user picks up the speed of remote controller; The data of rotational angular velocity can also can be used a plurality of transducers just with a transducer in the reality when gyro sensor tilted for the perception user, were used for obtaining more detailed data message.
Step S20 calculates the mean value of above-mentioned identification data;
In the present embodiment, after the sensor gets access to above-mentioned identification data, calculate the mean value of above-mentioned multi-group data.For example the sensor is direction sensor, and when grandfather picked up remote controller, this direction transducer obtained three different time points A in a period of time, B, three groups of data on the C are respectively A(50,100,200), B(50,114,209), C(53,110,200), and three data on each time point represent respectively three different directions X, Y, the data on the Z, mean value through three groups of data in calculating during this period of time is (51,108,203).
Step S30 judges tendency user identity corresponding to identification data according to pre-set criteria identity data and described mean value;
In the present embodiment, the pre-set criteria identity data is data corresponding to custom commonly used that user of the same type picks up remote controller, and these data can obtain by carrying out a large amount of family's experiments.For example, grandfather picks up in the process of remote controller, and the above-mentioned direction sensor standard value that all directions move in every certain interval of time is (50,110,200) such as this standard value.When the above-mentioned mean value of acquisition is (51,108,203), contrast standard value and described mean value, and then judge that the tendency user identity of the identification data of this time obtaining is grandfathers.
Step S40 calculates corresponding jitter range according to above-mentioned mean value and tendency user identity characteristic of correspondence value;
Above-mentioned characteristic value is the normal shake data of user when picking up remote controller of the same type.In the present embodiment, can obtain data corresponding to custom commonly used that user of the same type picks up remote controller by a large amount of family's experiments, and obtain the user's of different identity in the family shake data, and should shake data as characteristic value by neural net, the technology such as cluster device and grader that see through.For example to be respectively directions X be that (10 ,+10), Y-direction are that (7 ,+7), Z direction are (6 ,+6) to the range of characteristic values of grandfather shake.By with above-mentioned mean value (51,108,203) do poor after, obtaining three jitter range on the direction is X(41 ,+61), Y(101 ,+115), Z(197,209) one group of data.
Step S50 removes in the above-mentioned identification data the not data in jitter range.
In the present embodiment, after calculating the above-mentioned jitter range of acquisition, judge whether the numerical value of all directions among above-mentioned data A, B and the C falls in the jitter range, and the data in this shake orientation are not removed.For example among the above-mentioned data A data of Y-direction not in above-mentioned scope, thereby but decision data A for the larger data of shake, therefore data A can be removed.
The present invention is by obtaining the identification data that produce when the user picks up remote controller, calculate the mean value of these identification data, and tendency user identity corresponding to judgement, then calculate to obtain corresponding jitter range according to this mean value and tendency user identity, remove at last in the identification data the not data in this jitter range.Therefore can effectively remove the data that jitter range is larger in the identification data and avoid it to disturb identification is produced, thereby improve the accuracy of identification data, and then improve the accuracy of user identity identification.
Further, with reference to Fig. 2, Fig. 2 is the schematic flow sheet of another embodiment of removal dither method in the intelligent remote control system identifying of the present invention.Based on above-described embodiment, in the present embodiment, after carrying out above-mentioned steps S50, also comprise:
Step S60 stores the identification data of removing after shaking as normal data;
Above-mentioned steps S30 is specially: judge tendency user identity corresponding to identification data according to pre-set criteria identity data, normal data and mean value.
In the present embodiment, when judging the tendency user identity, can be at first the normal data of above-mentioned mean value and storage be compared, if there are the data of coupling, then can directly be inclined to user identity according to the normal data judgement that stores; If do not exist, preset identity data according to above-mentioned standard again and judge judgement tendency user identity.Because the normal data that stores and user's identification data are more approaching, when therefore the user being picked up remote controller each time, the identification data storing of removing after the shake gets up, and judges the foundation of tendency user identity when this user picks up remote controller next time.Can improve tendency user identity Accuracy of Judgement, improve simultaneously the speed of judging.
Further, with reference to Fig. 3, Fig. 3 is the schematic flow sheet of the another embodiment of removal dither method in the intelligent remote control system identifying of the present invention.Based on above-described embodiment, in the present embodiment, before carrying out above-mentioned steps S30, also comprise:
Step S70 judges whether the user type button is pressed; If, execution in step S80 then, otherwise execution in step S30;
Step S80 as tendency user identity corresponding to identification data, and changes the corresponding user type of user type button over to above-mentioned steps S40.
In the present embodiment, can the user type button be set at remote controller, this user type button comprises button or the more eurypalynous button of grandfather, father and child's three types.When grandfather picks up remote controller, and press this type button of grandfather, can judge that then this tendency user identity is grandfather.Therefore can improve tendency user identity Accuracy of Judgement.
Based on above-described embodiment, in the present embodiment, above-mentioned steps S50 specifically comprises:
Step S51, in the identification data not the data in jitter range carry out mark;
Step S52 removes the data that are labeled.
In the present embodiment, when having the shake data in the identification data, at first will comprise the identification data of shaking data and carry out mark, be about to above-mentioned identification data A(50,100,200) carry out mark, then, the data that are labeled are removed.
The present invention also provides the removal jittering device in a kind of intelligent remote control system identifying, is used for realizing said method.With reference to Fig. 4, Fig. 4 is the structural representation of removal jittering device one embodiment in the intelligent remote control system identifying of the present invention.Present embodiment provides the removal jittering device in the intelligent remote control system identifying to comprise:
In the present embodiment, transducer can be set in remote controller, this transducer obtains the user and picks up the corresponding data that produces when remote controller carries out straighforward operation, and remote control system can be according to this data identification user's identity.Particularly, above-mentioned identification data are picked up for the user in the process of remote controller, the multi-group data that transducer is sensed, and each is organized data and picks up for the user that in the process of remote controller every certain interval of time produces.Should be noted that the sensor is the part of acquisition module 100.
In the present embodiment, after above-mentioned acquisition module 100 gets access to above-mentioned identification data, these identification data are sent to computing module 200, are calculated the mean value of above-mentioned multi-group data by computing module 200.For example the sensor is direction sensor, and when grandfather picked up remote controller, this transducer obtained three different time points A in a period of time, B, three groups of data on the C are respectively A(50,100,200), B(50,114,209), C(53,110,200), and three data on each time point represent respectively three different directions X, Y, the data on the Z, mean value through three groups of data in calculating during this period of time is (51,108,203).
In the present embodiment, the pre-set criteria identity data is data corresponding to custom commonly used that user of the same type picks up remote controller, and these data can obtain by carrying out a large amount of family's experiments.For example, grandfather picks up in the process of remote controller, be (50 such as the above-mentioned direction sensor standard value that all directions move in every certain interval of time, 110,200) be (51,108 when obtaining above-mentioned mean value,, 203) time, can judge that according to standard value the tendency user identity of the identification data of this time obtaining is grandfathers by judge module 300.
Described computing module 200 also is used for calculating corresponding jitter range according to described mean value and tendency user identity characteristic of correspondence value;
Above-mentioned characteristic value be user of the same type when picking up remote controller, the data of normal shake.In the present embodiment, can obtain data corresponding to custom commonly used that user of the same type picks up remote controller by a large amount of family's experiments, and obtain the user's of different identity in the family shake data, and should shake data as characteristic value by neural net, the technology such as cluster device and grader that see through.For example the range of characteristic values of grandfather's shake is that directions X is that (10 ,+10), Y-direction are that (7 ,+7), Z direction are (6 ,+6).Be X(41 by doing the jitter range that obtains after poor with above-mentioned mean value ,+61), Y(101 ,+115), Z(197,209).
Remove shake module 400, be used for removing the not data in described jitter range of described identification data.
In the present embodiment, after computing module 200 calculates the above-mentioned jitter range of acquisition, this jitter range is sent to removal shake module 400, then judge by removing shake module 400 whether the numerical value of all directions among above-mentioned data A, B and the C falls in the jitter range, and the data in this jitter range are not removed.For example among the above-mentioned data A data of Y-direction not in above-mentioned scope, thereby but decision data A for the larger data of shake, therefore data A can be removed.
The present invention obtains the identification data that produce when the user picks up remote controller by acquisition module 100, computing module 200 calculates the mean value of these identification data, and by tendency user identity corresponding to judge module 300 judgements, and then calculate to obtain corresponding jitter range by computing module 200 according to this mean value and tendency user identity, be data in this jitter range by removing that shake module 400 removes in the identification data at last.Therefore can effectively remove jitter range is larger in the identification data data to the interference of identification data, thereby improve the accuracy of identification data, and then improve the accuracy of user identity identification.
Further, based on above-described embodiment, in the present embodiment, the removal jittering device in the above-mentioned intelligent remote control system identifying also comprises:
Above-mentioned judge module 300, concrete being used for judged the tendency user identity that described identification data are corresponding according to pre-set criteria identity data, normal data and mean value.
In the present embodiment, when judge module 300 is judged the tendency user identity, can be at first the normal data of above-mentioned mean value and storage be compared, if there are the data of coupling, then can be directly judge that according to the normal data that stores judgement be inclined to user identity; If do not deposit, preset identity data according to above-mentioned standard again and judge judgement tendency user identity.Because the normal data that storage module 500 stores and user's identification data are more approaching, when therefore the user being picked up remote controller each time, the identification data storing of removing after the shake gets up, and judges the foundation of tendency user identity when this user picks up remote controller next time.Can improve tendency user identity Accuracy of Judgement, improve simultaneously the speed of judging.
Further, above-mentioned judge module 300 also is used for judging whether the user type button is pressed; If, then with the corresponding user type of user type button as tendency user identity corresponding to described identification data; If not, then judge the tendency user identity that described identification data are corresponding according to pre-set criteria identity data and mean value.
In the present embodiment, can the user type button be set at remote controller, this user type button comprises button or the more eurypalynous button of grandfather, father and child's three types.When grandfather picks up remote controller, and press this type button of grandfather, can judge that then this tendency user identity is grandfather.Therefore can improve tendency user identity Accuracy of Judgement.
With reference to Fig. 5, Fig. 5 is the structural representation of removing the shake module among Fig. 4.In the present embodiment, above-mentioned removal shake module 400 comprises:
Indexing unit 401, be used for to described identification data not the data in described jitter range carry out mark;
Remove dither unit 402, be used for removing the data that are labeled.
In the present embodiment, when having the shake data in the identification data, at first will comprise the identification data of shaking data and carry out mark, be about to above-mentioned identification data A(50,100,200) carry out mark, then, the data that are labeled are removed.
Below only be the preferred embodiments of the present invention; be not so limit claim of the present invention; every equivalent structure or equivalent flow process conversion that utilizes specification of the present invention and accompanying drawing content to do; or directly or indirectly be used in other relevant technical fields, all in like manner be included in the scope of patent protection of the present invention.
Claims (8)
1. the removal dither method in the intelligent remote control system identifying is characterized in that, may further comprise the steps:
Obtain the user and pick up the identification data that remote controller produces;
Calculate the mean value of described identification data;
Judge the tendency user identity that described identification data are corresponding according to pre-set criteria identity data and described mean value;
Calculate corresponding jitter range according to described mean value and tendency user identity characteristic of correspondence value;
Remove in the described identification data the not data in described jitter range.
2. the removal dither method in the intelligent remote control system identifying as claimed in claim 1 is characterized in that, does not also comprise after the data step in described jitter range in carrying out described removal identification data:
The identification data of removing after shaking are stored as normal data;
Describedly judge that according to pre-set criteria identity data and mean value tendency user identity step corresponding to described identification data is specially: judge the tendency user identity that described identification data are corresponding according to pre-set criteria identity data, normal data and mean value.
3. the removal dither method in the intelligent remote control system identifying as claimed in claim 1, it is characterized in that, describedly also comprise before judging tendency user identity step corresponding to described identification data according to pre-set criteria identity data and mean value carrying out:
Judge whether the user type button is pressed;
If, then with the corresponding user type of user type button as tendency user identity corresponding to described identification data, and change described calculating according to mean value and tendency user identity characteristic of correspondence value over to and obtain corresponding jitter range step;
If not, then carry out and describedly judge the tendency user identity step that described identification data are corresponding according to pre-set criteria identity data and mean value.
4. such as the removal dither method in each described intelligent remote control system identifying in the claims 1 to 3, it is characterized in that, in the described identification data of described removal not the data step in described jitter range specifically comprise:
To in the described identification data not the data in described jitter range carry out mark;
The data that removal is labeled.
5. the removal jittering device in the intelligent remote control system identifying is characterized in that, comprising:
Acquisition module is used for obtaining the user and picks up the identification data that remote controller produces;
Computing module is for the mean value that calculates described identification data;
Judge module is used for judging the tendency user identity that described identification data are corresponding according to pre-set criteria identity data and mean value;
Described computing module also is used for calculating corresponding jitter range according to described mean value and tendency user identity characteristic of correspondence value;
Remove module, be used for removing the not data in described jitter range of described identification data.
6. the removal jittering device in the intelligent remote control system identifying as claimed in claim 5 is characterized in that, the removal jittering device in the described intelligent remote control system identifying also comprises:
Storage module, the identification data that are used for will removing after shaking store as normal data;
Described judge module, concrete being used for judged the tendency user identity that described identification data are corresponding according to pre-set criteria identity data, normal data and mean value.
7. the removal jittering device in the intelligent remote control system identifying as claimed in claim 5 is characterized in that, described judge module also is used for judging whether the user type button is pressed; If, then with the corresponding user type of user type button as tendency user identity corresponding to described identification data; If not, then judge the tendency user identity that described identification data are corresponding according to pre-set criteria identity data and mean value.
8. such as the removal jittering device in each described intelligent remote control system identifying in the claim 5 to 7, it is characterized in that described removal shake module also comprises:
Indexing unit, be used for to described identification data not the data in described jitter range carry out mark;
Remove dither unit, be used for removing the data that are labeled.
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| CN201210527997.7A CN103023654B (en) | 2012-12-10 | 2012-12-10 | Removal dither method in intelligent remote control system identification process and device |
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| CN105791929A (en) * | 2016-02-18 | 2016-07-20 | 深圳市茁壮网络股份有限公司 | User identification method and device |
| CN105791930A (en) * | 2016-02-18 | 2016-07-20 | 深圳市茁壮网络股份有限公司 | User identification method and device |
| CN112532885A (en) * | 2020-11-27 | 2021-03-19 | 维沃移动通信有限公司 | Anti-shake method and device and electronic equipment |
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| CN112532885B (en) * | 2020-11-27 | 2022-05-03 | 维沃移动通信有限公司 | Anti-shake method and device and electronic equipment |
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| CN103023654B (en) | 2016-06-29 |
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